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# DataIQ: DataIQ is the trusted global collaboration and intelligence platform for data leaders. We equip the global community of data leaders and their teams with the essential connections, knowledge and expertise to make better decisions and build better businesses.

## Sitemaps
[XML Sitemap](https://www.dataiq.global/sitemap_index.xml): Includes all crawlable and indexable pages.

## Pages
- [DataIQ 100 Summit North America 2027 Agenda](https://www.dataiq.global/dataiq-100-summit-north-america-2027-agenda/): Headline Partner
- [DataIQ 100 Summit North America 2027](https://www.dataiq.global/dataiq-100-summit-north-america-2027/): Headline Partner
- [2026 DataIQ Partner Event](https://www.dataiq.global/2026-dataiq-partner-event/): Join senior data, AI and governance leaders to explore how organisations are adapting governance for the next generation of AI, from agentic systems and ethical decision-making to regulatory readiness and governance automation.
- [2026 Data & AI Governance Brussels](https://www.dataiq.global/2026-data-ai-governance-brussels/): Join senior data, AI and governance leaders to explore how organisations are adapting governance for the next generation of AI, from agentic systems and ethical decision-making to regulatory readiness and governance automation.
- [2026 Data & AI Governance London](https://www.dataiq.global/2026-data-ai-governance-london/): Join senior data, AI and governance leaders to explore how organisations are adapting governance for the next generation of AI, from agentic systems and ethical decision-making to regulatory readiness and governance automation.
- [molly test](https://www.dataiq.global/molly-test/)
- [2026 Boston October Peer Exchange](https://www.dataiq.global/2026-boston-october-peer-exchange/): If Everyone Has AI, Where is the Advantage?​
- [DataIQ Congress Agenda](https://www.dataiq.global/dataiq-congress-agenda/): Headline Partner
- [2026 DataIQ Awards – Badges](https://www.dataiq.global/2026-dataiq-awards-badges/): Congratulations on being shortlisted for an award at the 2026 DataIQ Awards! Your work truly impressed the judges, showcasing your outstanding contributions to data and AI.
- [DataIQ Congress Speakers](https://www.dataiq.global/dataiq-congress-speakers/): Headline Partner
- [2026 DataIQ Awards Shortlist](https://www.dataiq.global/2026-dataiq-awards-shortlist/): Who is it for?
- [DataIQ Congress Attendees](https://www.dataiq.global/dataiq-congress-attendees/): Headline Partner
- [DataIQ Congress Partners](https://www.dataiq.global/dataiq-congress-partners/): Headline Partner
- [2026 DataIQ 100 North America Impact](https://www.dataiq.global/2026-dataiq-100-north-america-impact/): Learn more 2027 Nominations Learn more 2027 Nominations
- [2026 DataIQ Awards Gallery](https://www.dataiq.global/2026-dataiq-awards-gallery/): DataIQ Awards Gallery
- [2026 DataIQ 100 North America Influencers](https://www.dataiq.global/2026-dataiq-100-north-america-influencers/): Headline Partner
- [2026 DataIQ 100 North America Enablers](https://www.dataiq.global/2026-dataiq-100-north-america-enablers/): Headline Partner
- [2026 DataIQ 100 North America Brands](https://www.dataiq.global/2026-dataiq-100-north-america-brands/): Headline Partner
- [2026 Boston Peer Exchange](https://www.dataiq.global/2026-boston-peer-exchange/): Join 40 senior leaders in Boston for a confidential discussion on how leading organizations are turning AI investment into measurable business outcomes.
- [Thank you – DataIQ Awards 2026](https://www.dataiq.global/thank-you-awards-2026/): We’ll share more event details with you soon. Ahead of the Awards Ceremony, our team will reach out to request your guest list and any dietary requirements. Please gather this information when inviting your guests.
- [Vacancy – Client Success Manager](https://www.dataiq.global/vacancy-client-success-manager/): This is an exciting opportunity to join DataIQ’s Customer Success team as a Client Success Manager to join our team to help us deliver value for our portfolio of enterprise Clients.
- [DataIQ Congress Key Themes](https://www.dataiq.global/dataiq-congress-key-themes/): Headline Partner
- [DataIQ Congress Attend](https://www.dataiq.global/dataiq-congress-attend/): Headline Partner
- [2026 DataIQ Awards Attend](https://www.dataiq.global/2026-dataiq-awards-book-a-table/): Join us on Thursday, 17 September from 6PM at The Roundhouse (Chalk Farm Road, London, NW1 8EH) as we reveal the standout entries that have impressed our panel of judges.
- [Copy of 2026 DataIQ 100 Discussion Agenda](https://www.dataiq.global/2026-dataiq-100-discussion-gallery/): Attend the 2024 DataIQ Discussion with this full agenda designed for data leaders
- [2026 DataIQ 100 Europe Impact](https://www.dataiq.global/2026-dataiq-100-europe-impact/): Headline Partner
- [DataIQ Congress](https://www.dataiq.global/dataiq-congress/): Headline Partner
- [2026 DataIQ 100 Top 10](https://www.dataiq.global/2026-dataiq-100-europe-top-10/): Headline Partner
- [2026 DataIQ 100 Summit North America Blend Experience](https://www.dataiq.global/2026-dataiq-100-summit-north-america-blend-experience/): Find out who has made the 2025 DataIQ 100 USA list, the first and only fully-curated power list of the data industry's most influential figures.
- [2026 DataIQ 100 Europe](https://www.dataiq.global/2026-dataiq-100-europe-live-reveal/): Headline Partner
- [2026 DataIQ 100 Europe Brands](https://www.dataiq.global/2026-dataiq-100-europe-brands/): Headline Partner
- [2026 DataIQ 100 Europe Enablers](https://www.dataiq.global/2026-dataiq-100-europe-enablers/): Headline Partner
- [Accessibility Statement](https://www.dataiq.global/accessibility/): Accessibility Statement for DataIQ
- [2026 DataIQ 100 Summit North America Agenda](https://www.dataiq.global/2026-dataiq-100-summit-north-america-agenda/): Find out who has made the 2025 DataIQ 100 USA list, the first and only fully-curated power list of the data industry's most influential figures.
- [2026 DataIQ 100 Summit North America Venue](https://www.dataiq.global/2026-dataiq-100-summit-north-america-venue/): Find out who has made the 2025 DataIQ 100 USA list, the first and only fully-curated power list of the data industry's most influential figures.

## Reports
- [Ambition to Realism: The True State of AI Readiness](https://www.dataiq.global/report/ambition-to-realism-the-true-state-of-ai-readiness/): Following years of investment and experimentation, organizations are discovering that AI readiness has less to do with models and tooling than operational discipline, leadership alignment, and the ability to scale responsibly. 
- [The Rise of Decision Intelligence: How Data and AI Leaders are Rewiring the Enterprise](https://www.dataiq.global/report/the-rise-of-decision-intelligence-how-data-and-ai-leaders-are-rewiring-the-enterprise/): For over two decades, organizations have pursued a common ambition to become “data-driven,” focusing on improving access to data, scaling analytics, and building modern platforms. With that ambition now largely within reach, data and AI leaders are facing the next frontier: how to progress from insight access to translating intelligence into consistent, high-quality decisions. 
- [The End of AI Theatrics: Accountability, Governance, and Value in 2026](https://www.dataiq.global/report/the-end-of-ai-theatrics-accountability-governance-and-value-in-2026/): It is clear from The End of AI Theatrics: Accountability, Governance, and Value in 2026 that the top role in data and AI is becoming more operational and a prominent voice at the table. Leaders speak of finding themselves closer to the core of organisations, industrialising impact, finding the balance to scale projects appropriately, and cementing trust into how decisions are made.
- [Shaping the Next Era: The Evolution of Data Leadership for the AI-First Future](https://www.dataiq.global/report/shaping-the-next-era-the-evolution-of-data-leadership-for-the-ai-first-future/): On Wednesday, 22 October 2025, we proudly unveiled the DataIQ 30 Africa - a defining milestone in the evolution of global data and AI leadership. For the first time, Africa’s most influential data and AI leaders have been recognised in a dedicated programme, revealed at the DataIQ 30 Africa Reveal in Johannesburg. Delivered in partnership with Accenture Africa, this inaugural list showcases the exceptional breadth of talent across the continent.
- [Data and AI Leadership: Under Way and Under Pressure](https://www.dataiq.global/report/data-and-ai-leadership-under-way-and-under-pressure/): How do you lead when AI capabilities outpace organisational readiness? For data and AI leaders, that is today’s defining test. While emerging technologies offer an abundance of new opportunities, leaders are under increasing pressure to deliver impact while laying foundations in a continuously shifting landscape. 
- [DataIQ World Congress Programme](https://www.dataiq.global/report/dataiq-world-congress-programme/): We're thrilled to provide you with this downloadable programme, your comprehensive guide to navigating the World Congress and maximising your experience. Within these pages, you'll find everything you need to make the most of your time with us, including:
- [AI roadmap for 2025](https://www.dataiq.global/report/ai-roadmap-for-2025/): Supported by Blend, this DataIQ report delves into how AI has been scaled, the AI maturity of data-driven versus gut-based organizations, and the evolving state of AI leadership and culture.
- [The Inflection Point: Data and AI Moving to the Mainstream](https://www.dataiq.global/report/the-inflection-point-data-and-ai-moving-to-the-mainstream/): Data and AI have reached a turning point, evolving from emerging capabilities to mainstream catalysts of enterprise transformation. In North America, this shift is being led by the most influential data and AI leaders, embedding intelligence at the core of their organizations to deliver results at scale.
- [Summit North America Programme](https://www.dataiq.global/report/summit-north-america-programme/): Data and AI are no longer emerging technologies—they are critical driving forces behind the success of every business. But turning potential into impact isn’t straightforward. Success relies on overcoming challenges like limited buy-in, unpredictable funding, compliance barriers, and scaling issues, while simultaneously fostering collaboration and driving engagement.
- [How to Craft an Award-Winning Entry](https://www.dataiq.global/report/how-to-craft-an-award-winning-entry/): Now in its 13th year, the DataIQ Awards celebrate exceptional companies, individuals, and programmes that have significantly advanced the impact of data and AI. These prestigious awards honour outstanding contributions to innovation, the cultivation of data-driven cultures, and the advancement of ethical practices in the industry.
- [The Big 5: The Defining Priorities for Data and AI Leaders in 2025](https://www.dataiq.global/report/the-big-5-the-defining-priorities-for-data-and-ai-leaders-in-2025/): On Tuesday, 4 March 2025 we unveiled the 2025 DataIQ 100 Europe - a power list of the most important and influential people in data-driven businesses and the innovators who support them. Those recognised in the 2025 DataIQ 100 are making extraordinary strides in the field of data innovation and possess the influence, profile, experience and knowledge to drive this vibrant industry forward and help create truly great businesses.
- [Voice of the Chief Data Officer 2024](https://www.dataiq.global/report/voice-of-the-chief-data-officer-2024/): We´re delighted to present to our members Voice of the Chief Data Officer 2024.
- [Resilience by design: Building thriving data functions for turbulent times](https://www.dataiq.global/report/resilience-by-design-building-thriving-data-functions-for-turbulent-times/): Our exclusive data and organisational resilience report is your definitive guide to navigating these challenges. Backed by in-depth research into the evolving data landscape, this report uncovers the paradoxes and pitfalls businesses face while offering actionable insights through real-world use cases.
- [Confronting the top data function challenges as a leader](https://www.dataiq.global/report/confronting-the-top-data-function-challenges-as-a-leader/): On 21 May 2024 we released the DataIQ 100 USA – a power list of the most important and influential people in data-driven businesses and the innovators who support them. Those recognized in the 2024 DataIQ 100 are making extraordinary strides in the field of data innovation and possess the influence, profile, experience and knowledge to drive this vibrant industry forward and help create truly great businesses.
- [Mastering the art of data leadership in a complex landscape](https://www.dataiq.global/report/mastering-the-art-of-data-leadership-in-a-complex-landscape/): We have asked those who have made it into the DataIQ 100 to share how they are addressing the key challenges they face as leaders of their data functions. On 5 March 2024 we released the DataIQ 100 EMEA – a power list of the most important and influential people in data-driven businesses and the innovators who support them. Those recognised in the 2024 DataIQ 100 are making extraordinary strides in the field of data innovation and possess the influence, profile, experience and knowledge to drive this vibrant industry forward and help create truly great businesses.
- [Careers, skills, and recruitment in data: Numbers for leaders and practitioners](https://www.dataiq.global/report/careers-skills-and-recruitment-in-data-numbers-for-leaders-and-practitioners/): What is the average tenure of a data practitioner? Which data roles are most companies looking to hire in the next 12 months? Surprisingly, there are no industry-agreed standards here. Data is a relatively new field. In most organisations, data offices are less than ten years old, and the data talent market comprises inconsistent, varying degrees of expertise and experiences, resulting in a lack of standardised approach to the realities of people, skills and careers.
- [Succeed with AI: Building a future-ready organization](https://www.dataiq.global/report/succeed-with-ai-building-a-future-ready-organization/): On 21 May 2024 we released the DataIQ 100 USA – a power list of the most important and influential people in data-driven businesses and the innovators who support them. Those recognized in the 2024 DataIQ 100 are making extraordinary strides in the field of data innovation and possess the influence, profile, experience and knowledge to drive this vibrant industry forward and help create truly great businesses.
- [AI Adoption: Navigating change management in your organisation](https://www.dataiq.global/report/ai-adoption-navigating-change-management-in-your-organisation/): On 5 March 2024 we released the DataIQ 100 EMEA – a power list of the most important and influential people in data-driven businesses and the innovators who support them. Those recognised in the 2024 DataIQ 100 are making extraordinary strides in the field of data innovation and possess the influence, profile, experience and knowledge to drive this vibrant industry forward and help create truly great businesses.
- [2025 Data & AI Awards – How To Enter Guide](https://www.dataiq.global/report/2025-data-ai-awards-how-to-enter-guide/): The Data & AI Awards celebrate exceptional companies, individuals, and programs that have significantly advanced the impact of data and AI. These prestigious awards honor outstanding contributions to innovation, the cultivation of data-driven cultures, and the advancement of ethical practices in the industry.
- [Priceless or worthless? How data leaders are mastering the art of data valuation](https://www.dataiq.global/report/how-data-leaders-are-mastering-the-art-of-data-valuation/): One of the biggest problems in the data world is that there exists no clear benchmark for the value of data, even as organisations feel a growing need for it. Research undertaken by Anmut detailed that the value of data held by firms in the ten largest sectors of the FTSE 350 is £295 billion, which equates to 20% of aggregate market capitalisation of the companies in those sectors. To build on this research, we approached the DataIQ research panel consisting of global organisations to understand how data value in their organisation is perceived and measured. Is this £295 billion a pipedream, or a vision of the future?
- [The Data Literacy Blueprint: Maximizing organizational value and impact](https://www.dataiq.global/report/the-data-literacy-blueprint-maximizing-organizational-value-and-impact/): On 21 May 2024 we released the DataIQ 100 USA – a power list of the most important and influential people in data-driven businesses and the innovators who support them. Those recognized in the 2024 DataIQ 100 are making extraordinary strides in the field of data innovation and possess the influence, profile, experience and knowledge to drive this vibrant industry forward and help create truly great businesses.
- [How to make an impact with data literacy](https://www.dataiq.global/report/how-to-make-an-impact-with-data-literacy/): On 5 March 2024 we released the DataIQ 100 EMEA – a power list of the most important and influential people in data-driven businesses and the innovators who support them. Those recognised in the 2024 DataIQ 100 are making extraordinary strides in the field of data innovation and possess the influence, profile, experience and knowledge to drive this vibrant industry forward and help create truly great businesses.
- [Breaking down data culture – The ten pain points](https://www.dataiq.global/report/breaking-down-data-culture-the-ten-pain-points/): Unlock the secrets to building a thriving data culture.
- [DataIQ 100 Summit Miami: Programme](https://www.dataiq.global/report/dataiq-100-summit-miami-programme/): Don’t miss your chance to connect with the world’s most influential data minds at the DataIQ 100 Summit Miami. Download the program to access the agenda, speakers, attendee list, and everything you need to level up your AI strategy.
- [2024 DataIQ AI Awards – The essential guide](https://www.dataiq.global/report/2024-dataiq-ai-awards-the-essential-guide/): The 2024 DataIQ AI Awards are now open! Do you have a groundbreaking AI project that’s making a positive impact on society? We want to hear about it! Our comprehensive guide provides all the information you need to submit your entry.
- [How to enter the 2024 DataIQ Awards](https://www.dataiq.global/report/how-to-enter-the-2024-dataiq-awards/): Submissions for the 2024 DataIQ Awards are open! Shine the spotlight on your team’s incredible work and get the recognition you deserve. Download this eBook to find out how to enter and our most frequently asked questions.
- [2023 DataIQ Annual Review](https://www.dataiq.global/report/2023-dataiq-annual-review/): As the trusted global collaboration and intelligence platform for data leaders, we are committed to providing the best products, knowledge and events to our community. How did we achieve this in 2023?
- [Data beyond limits: Unleashing the power of your organisation’s visionary data strategy](https://www.dataiq.global/report/data-beyond-limits-unleashing-the-power-of-your-organisations-visionary-data-strategy/): We have asked those who have made it into the DataIQ 100 to share their experiences regarding fixing the data foundations of their organisation, particularly with regard to data quality.
- [Data Leaders – Priorities for 2024](https://www.dataiq.global/report/data-leaders-priorities-for-2024/): What are data leaders focusing on in 2024? Examine the latest DataIQ findings to see how your data office compares.
- [Innovation: The new agenda for data](https://www.dataiq.global/report/innovation-the-new-agenda-for-data/): The explosion of interest in generative AI during 2023 has emphasised an important fact - that the road to innovation goes through the data office.
- [Unlocking success with a data vision: Is your entire organisation on board?](https://www.dataiq.global/report/unlocking-success-with-a-data-vision-is-your-entire-organisation-on-board/): We have asked those who have made it into the DataIQ 100 to share their views and experiences regarding setting a vision for data and the scope of those visions.
- [DataIQ Awards 2023 Book of the Night](https://www.dataiq.global/report/dataiq-awards-2023-book-of-the-night/): The standard has been extremely high and the competition fierce for the 2023 DataIQ Awards - the data industry’s most prestigious awards. Read about each organisation, team and individual that has been crowned a 2023 DataIQ Awards winner.
- [Future-Proofing Data Strategy](https://www.dataiq.global/report/future-proofing-data-strategy/): Explore the role of data apprenticeships in empowering CDOs.
- [Data leadership unlocked: The must-have skills for success](https://www.dataiq.global/report/data-leadership-unlocked-the-must-have-skills-for-success/): We have asked those who have made it into the Future leaders list to share their views on what they believe are the most important must-have skills to achieve success as a data professional.
- [How well do you (need to) know your models?](https://www.dataiq.global/report/how-well-do-you-need-to-know-your-models/): Over the past five years there has been a massive growth within retailers looking to use Machine Learning (ML) and Artificial Intelligence (AI) to improve performance, simplify the customer journey and increase innovation. But should we always trust the algorithms, and are they even required?
- [The future of data: Anticipating industry-wide challenges for the year ahead](https://www.dataiq.global/report/the-future-of-data-anticipating-industry-wide-challenges-for-the-year-ahead/): We have asked those who have made it into the DataIQ 100 to share their views on what they believe the most important and pressing challenges will be for data and analytics over the next 12 months
- [How to Thrive as a Chief Data Officer in 2023](https://www.dataiq.global/report/how-to-thrive-as-a-chief-data-officer-in-2023/): Discover why CDO positions are so tenuous and misunderstood and what successful CDOs are doing differently from their struggling counterparts.
- [How to enter the DataIQ Awards 2023](https://www.dataiq.global/report/how-to-enter-the-dataiq-awards-2023/): Submissions for the DataIQ Awards 2023 close next week! Shine the spotlight on your team’s incredible work and get the recognition you deserve. Download this eBook to find out how to enter and our most frequently asked questions.
- [2022 DataIQ Annual Review](https://www.dataiq.global/report/2022-dataiq-annual-review/): At DataIQ, we are committed to connecting, developing and elevating data leaders and their teams. How did we achieve this in 2022?
- [Keeping pace with data technology](https://www.dataiq.global/report/keeping-pace-with-data-technology/): We asked those who have made it into the DataIQ 100 to share their views on how to keep pace with technology.
- [DataIQ Way of the 100 Conference Agenda](https://www.dataiq.global/report/dataiq-way-of-the-100-conference-agenda/): The DataIQ 100 Way of the 100 2022 will focus on the data community’s big issues. Joining 200 like-minded, ambitious data professionals across all sectors, including DataIQ 100 nominees.
- [Connected leadership: Growing your data network](https://www.dataiq.global/report/connected-leadership-growing-your-data-network/): As new technologies and data are being developed at a rapid pace, how important is it to keep pace and stay in touch with your peers? We asked those who have made it into the DataIQ 100 to share their views on how to keep pace and grow your peer group.
- [Proven techniques to get data to the boardroom](https://www.dataiq.global/report/proven-techniques-to-get-data-to-the-boardroom/): Where data scientists sit in your organisation is vital. We asked those who have made it into the DataIQ 100 to share their views on how to get data a seat at the boardroom during strategic discussions.
- [The role and value of external data  in a post-pandemic world](https://www.dataiq.global/report/the-role-and-value-of-external-data-in-a-post-pandemic-world/): This whitepaper examines the extents to which external data is being adopted, how the pandemic has affected customer data collection and how this data is valued moving forward into a post-pandemic era.
- [DataIQ Awards 2022 Book of the Night](https://www.dataiq.global/report/dataiq-awards-2022-book-of-the-night/): The standard has been extremely high and the competition fierce for the 2022 DataIQ Awards - the data industry’s most prestigious awards. Read about each organisation, team and individual that has been crowned a 2022 DataIQ Awards winner.
- [Why democratising skills is fundamental to achieving data maturity](https://www.dataiq.global/report/why-democratising-skills-is-fundamental-to-achieving-data-maturity/): This report is an opportunity to explore the true value of data maturity and how coordinating your data skills development across departments can lead to effective results and better overall data literacy.
- [Upskilling Data Leaders](https://www.dataiq.global/report/upskilling-data-leaders/): We have asked those who have made it into the DataIQ 100 to share their views on what key skills contribute to success and how to develop those skills. In this guide we share what some of the industry leaders who have made the list believe is fundamental in achieving success in these areas
- [DEI in data: Many bridges still to cross](https://www.dataiq.global/report/dei-in-data-many-bridges-still-to-cross/): Diversity is essential for a well-rounded, functioning data office and implementing a recruitment approach that understands intersectional diversity is the way forward. Research indicates that highly diverse teams produce better results with reduced algorithmic bias, which is a necessity for organisations aiming to be leaders in their field.
- [Managing marketing data in the first-party era](https://www.dataiq.global/report/managing-marketing-data-in-the-first-party-era/): This report, conducted in collaboration between Acxiom and DataIQ, examines customer data and the challenges this poses to marketing.
- [Driving digital transformation: The road to value creation](https://www.dataiq.global/report/driving-digital-transformation-the-road-to-value-creation/): This report, conducted in collaboration between Informatica and DataIQ, highlights the different paths that businesses are taking on the road to digital transformation, the challenges faced and the factors that underpin successful value creation.

## Articles
- [Developing Data and AI Talent in High Maturity Organisations](https://www.dataiq.global/articles/developing-data-and-ai-talent-in-high-maturity-organisations/): Building AI capability requires more than hiring. Organisations need to balance specialist recruitment, internal development, and adaptable career pathways to keep pace with rapidly evolving technology.
- [EU AI Act Delays Offer Financial Services More Time, Not Less Responsibility](https://www.dataiq.global/articles/eu-ai-act-delays-financial-time/): Finance and insurance organisations have been given some respite from the upcoming EU AI Act changes, but they need to utilise this extra time to strengthen their AI governance.
- [AI governance in insurance – Building trust while accelerating adoption](https://www.dataiq.global/articles/ai-governance-in-insurance-building-trust-while-accelerating-adoption/): Governance frameworks are rapidly becoming outdated as AI evolves. Read how senior data and AI leaders from the insurance industry are adapting governance to boost innovation at speed.
- [AI governance in banking: Scaling oversight without slowing innovation](https://www.dataiq.global/articles/ai-governance-in-banking-scaling-oversight-without-slowing-innovation/): A banking discussion between DataIQ clients examined the pressures surrounding governance while trying to scale AI adoption.
- [Designing Enterprise Trust for Data and AI: The Back-of-the-House Data Reliability Operating Model](https://www.dataiq.global/articles/designing-enterprise-trust-for-data-and-ai/): Modern data platforms may be faster and more scalable, but that does not mean their outputs are trusted. As AI raises the stakes, data leaders need to ask a harder question: is reliability something they are monitoring, or something they have deliberately engineered?
- [EU AI Act Delays Create Breathing Room for AI Governance](https://www.dataiq.global/articles/eu-ai-act-delays-create-breathing-room-for-ai-governance/): The latest updates to the timeline for the EU AI Act provide some extra space for data and AI leaders, but vigilance needs to remain high for all things governance.
- [Stop calling it AI](https://www.dataiq.global/articles/stop-calling-it-ai/): Personal productivity gains don’t necessarily translate into strategic value, and this article written in partnership with BDO explores companies can do about it.
- [Building Use Case Portfolios That Deliver Results](https://www.dataiq.global/articles/building-use-case-portfolios-that-deliver-results/): Leaders are under pressure to prove value, prioritise effectively, and scale what works, yet many use cases stall before impact. Peers in this DataIQ roundtable addressed how to bridge that gap with stronger portfolio discipline and execution.
- [Navigating AI Risk: Building Resilient and Responsible Data Practices](https://www.dataiq.global/articles/navigating-ai-risk-building-resilient-and-responsible-data-practices/): Data and AI leaders need to develop sturdy data practices that can ensure governance in an era of scaling while monitoring and deflecting risk.
- [Where Generative AI Is Creating Value in Data Product Delivery](https://www.dataiq.global/articles/where-generative-ai-is-creating-value-in-data-product-delivery/): Generative AI Is creating value at scale as organisations grapple with the difficulties surrounding rapidly outdated models or systems that get stuck within individual projects.
- [Governance is the Route from AI Pilots to Enterprise Performance](https://www.dataiq.global/articles/governance-ai-pilots-performance/): As organisations find embracing AI experimentation easier than ever before, AI production remains an operating commitment. Governance has therefore arrived front and centre, acting as the mechanism that allows AI to scale with trust. 
- [Nine Ways to Measure the Impact of Your Data Literacy Programme](https://www.dataiq.global/articles/nine-ways-to-measure-your-data-literacy-programme/): For years, data literacy programmes have been the cornerstone of empowering organisations to make better decisions with data. While launching these programmes has been a challenge, the biggest complexity has been proving that they work.
- [What do the C-Suite Want and Expect from CDO’s?](https://www.dataiq.global/articles/c-suite-want-and-expect-cdos/): CDOs are being tasked with AI translation and storytelling to C-suite executives, as well as handling prioritization, governance, culture, and transformations across organizations – so what does the C-suite truly want from their CDO?
- [How can we Successfully Innovate within Highly Regulated Environments?](https://www.dataiq.global/articles/innovate-regulated-environments/): Regulated sectors are discovering the real constraint regarding the scaling of AI is rarely regulation itself, but operational. This DataIQ panel examines how AI innovation and scaling can be achieved within highly regulated industries.
- [Day 2 Highlights – Operating Models, Data Products, and the Reality of Scale](https://www.dataiq.global/articles/operating-models-reality-scale/): Day 2 of the DataIQ 100 Summit in Nashville shifted the conversation from why decision intelligence matters to how it is actually delivered at scale with different operating models.
- [Day 1 Highlights: Decisions, Agentic AI, and Leadership](https://www.dataiq.global/articles/day-1-decisions-agentic-ai-leadership/): Day 1 of the DataIQ 100 Summit North America dove into decisions, agentic AI, and leadership excellence, culminating in the reveal of the Top Ten data and AI leaders in North America.
- [The Rise of Decision Intelligence: How Data and AI Leaders are Rewiring the Enterprise](https://www.dataiq.global/articles/the-rise-of-decision-intelligence/): The Rise of Decision Intelligence examines how leading organizations are responding to this shift in practice.
- [The 2026 DataIQ 100 North America Top Ten revealed in Nashville](https://www.dataiq.global/articles/the-2026-dataiq-100-north-america-top-ten-revealed-in-nashville/): The most influential leaders in data and AI across North America for 2026 have been unveiled, recognizing those driving measurable impact across organizations and the wider industry.
- [From Use Cases to Operating Models: Structuring for Agentic AI](https://www.dataiq.global/articles/structuring-operating-models-for-agentic-ai/): While ideas for agentic AI use cases are plenty, the key to scaling is rethinking the structures that surround them.
- [Removing Human-in-the-Loop Without Compromising Customer Experience](https://www.dataiq.global/articles/human-in-the-loop-customer-experience/): Removing humans from the AI process without damaging the customer experience was the topic of discussion at two roundtables at the DataIQ 100 Discussion, hosted by Accenture.
- [In Conversation the DataIQ Number One of 2025 – Confronting the Hardest Leadership Challenges in Data](https://www.dataiq.global/articles/conversation-the-dataiq-number-one-2025/): Johanna Hutchinson, Group CDO, BAE Systems, and 2025’s top-ranked DataIQ 100 Europe leader spoke about her experience leading at scale in a highly regulated, high-stakes environment.
- [The End of AI Theatrics – What Data and AI Leaders Must Prove in 2026](https://www.dataiq.global/articles/ai-theatrics-leaders-must-prove-2026/): An overview of the key findings from the latest DataIQ report, The End of AI Theatrics: Accountability, Governance, and Value in 2026.
- [Seven Decisions That Determine S/4HANA Migration Success](https://www.dataiq.global/articles/seven-decisions-that-determine-s-4hana-migration-success/): S/4HANA migration is rarely just a system upgrade. This article outlines seven key decisions shaping success, based on real-world experience from senior data and transformation leaders navigating complex ERP transitions.
- [What Does It Take to Lead Data, AI, and Cultural Transformation in 2026?](https://www.dataiq.global/articles/data-ai-cultural-transformation-2026/): At the 2026 DataIQ 100 Discussion, a panel of data and AI leaders discussed knowing where AI genuinely matters, where it does not, and how to move organisations forward.
- [Scaling Agentic AI – Frameworks, Governance, and Real-World Impact](https://www.dataiq.global/articles/scaling-agentic-ai-governance/): A panel at the 2026 DataIQ 100 Discussion examined frameworks, governance, and real-world impact in an environment where agentic AI is rapidly scaling.
- [What’s Next for the Role of the CDO](https://www.dataiq.global/articles/whats-next-for-the-role-of-the-cdo/): A panel discussion at the 2026 DataIQ Discussion in London highlighted several shifts that are reshaping the CDO role as AI moves closer to the centre of enterprise strategy.
- [DataIQ 100 Discussion: The Future is Here](https://www.dataiq.global/articles/dataiq-100-discussion-future-here/): The 2026 DataIQ 100 Discussion brought data and AI leaders together to examine scaling Agentic AI, the changing role of the CDO, and much more across a day of panels, roundtables, and keynotes.
- [Communication Tactics that Win Executive Buy-In and Unlock AI Progress](https://www.dataiq.global/articles/communication-tactics-that-win-executive-buy-in/): Exclusive DataIQ peer insights on how data and AI leaders are reframing conversations with senior executives to unlock funding, accelerate decisions and shift accountability.
- [How to Scale Agentic AI: Top Five Priorities for Data and AI Leaders](https://www.dataiq.global/articles/how-to-scale-agentic-ai-top-five-priorities/): In a recent DataIQ masterclass, Elizabeth Osta, DataIQ expert and co-founder of the Frugal AI Hub, outlined five practical priorities for organisations preparing to deploy agentic AI at scale.
- [Agentic AI: The Six Biggest Deployment Challenges](https://www.dataiq.global/articles/agentic-ai-the-six-biggest-challenges/): Exclusive DataIQ peer insights reveal the six biggest practical challenges in deploying agentic AI — from governance gaps and cost volatility to skills shortages and organisational redesign.
- [Making Data Products Stick: Driving Adoption, Speed and Value in Mature Organisations](https://www.dataiq.global/articles/making-data-products-stick/): Data product adoption across mature organisations continues to be a bottleneck, despite strong investment. DataIQ clients came together to examine their successes.
- [Submissions open for the 2026 DataIQ Awards](https://www.dataiq.global/articles/submissions-open-2026-dataiq-awards/): The 2026 DataIQ Awards, the data and AI industry’s premier celebration of excellence, is open for submissions with an Early Bird deadline offer.
- [DataIQ to reveal the 2026 DataIQ 100 Europe live, celebrating the most influential leaders in data and AI](https://www.dataiq.global/articles/dataiq-2026-dataiq-100-europe-live/): Who is moving the needle across data and AI this year? On 4 February, the industry finds out. Join your peers for the live unveiling of the 2026 DataIQ 100 Europe, the definitive ranking of the leaders shaping the future of data and AI.
- [Building a Business Case for AI](https://www.dataiq.global/articles/building-a-business-case-for-ai/): Ofgem’s Chris Gullick challenges the fantasy of ready-made AI value, arguing that the business case is more of a political, cultural, and organisational project than a document to pitch. 
- [Scaling AI Use Cases into Enterprise Products](https://www.dataiq.global/articles/scaling-ai-use-cases-enterprise-products/): Dan Taffler, winner of the Data & AI Leader of the Year Europe 2025, hosted an exclusive DataIQ masterclass examining the practical realities of scaling an AI proof-of-concept from experimentation to a business-critical enterprise product inside a major UK media organisation.
- [The Data-Confident Enterprise: Empowering Colleagues to Enhance Operations](https://www.dataiq.global/articles/data-confident-enterprise/): National Grid is building a data-confident enterprise by scaling AI, embedding fluency, and federating ownership across 30,000 employees to power the energy transition.
- [Building Trust to Enhance the Role of Data in the Economy](https://www.dataiq.global/articles/building-trust-to-enhance-role-of-data/): The ONS shared their insightful experiences and lessons with data errors, issues, and managing trust at the DataIQ World Congress.
- [From Siloed to Event-Driven Care: How Data and AI Are Reshaping NHS Patient Journeys](https://www.dataiq.global/articles/reshaping-nhs-patient-journeys/): NHS England is rebuilding the data and digital infrastructure behind patient journeys, creating the conditions for safe, scalable, and clinically meaningful use of AI.
- [Designing AI for Adoption: From Pilots to Products](https://www.dataiq.global/articles/designing-ai-for-adoption/): Why do so many AI pilots stall? Mastercard’s Mara Pometti believes the issue isn’t merely technical, it’s experiential. AI scales only when there is adoption, and adoption is powered by experience. If interactions with AI feel cranky, irrelevant, or misaligned with users’ expectations, engagement collapses and pilots die — and even the smartest model can’t recover a broken experience.
- [The CEO’s Lens: Unlocking Business Transformation Through the Chief Data Officer](https://www.dataiq.global/articles/the-ceos-lens/): Data and AI leaders must stop chasing pilots and start shaping enterprise agency. This was the challenge set by Accenture’s Matt Prebble during DataIQ’s World Congress where he positioned the CDO as the CEO’s multiplier for execution and trust.
- [The winners of the 2025 DataIQ Awards showcase the best of the data and AI industry](https://www.dataiq.global/articles/the-winners-of-the-2025-dataiq-awards-showcase-the-best-of-the-data-and-ai-industry/): The 2025 DataIQ Awards have shone a spotlight on those making the difference in the data and AI industry, the pinnacle of leadership, and the emerging talent.
- [DataIQ World Congress Day 2 Highlights: Action Trumps Ambition](https://www.dataiq.global/articles/dataiq-world-congress-day-2-highlights-action-trumps-ambition/): By bringing CEOs, CDOs, policymakers, and innovators into the same conversation, the 2025 DataIQ World Congress reaffirmed its place as the meeting point for those shaping the next chapter of data and AI leadership as a community united by impact, not hype.  
- [DataIQ World Congress Day 1 Highlights: Connection, Collaboration and Accountability](https://www.dataiq.global/articles/dataiq-world-congress-day-1-highlights-connection-collaboration-and-accountability/): Day 1 of the DataIQ World Congress provided incredible insights into the inner workings of the world of data and AI leadership with impressing keynote speeches and panel discussions.
- [Final call: Nominations for the 2026 DataIQ 100 Europe will close on 7 November](https://www.dataiq.global/articles/final-call-nominations-for-dataiq-100/): The countdown is on. Nominations for the 2026 DataIQ 100 Europe – the data and AI industry’s definitive power list – will close at midnight on Thursday 7 November.
- [Africa’s Data & AI Elite Revealed in Inaugural DataIQ 30 Africa List](https://www.dataiq.global/articles/africas-data-ai-elite-revealed-in-inaugural-dataiq-30-africa-list/): The future of Africa’s data and artificial intelligence landscape took centre stage yesterday as DataIQ unveiled its first-ever Africa 30 list, a powerful new addition to its globally renowned DataIQ 100 series. Held at The Venue, Houghton Hotel in Johannesburg, and powered by Accenture, the Africa inclusion marks a major milestone for the continent’s role in shaping the global data and AI agenda.
- [10 Tips to Successfully Migrate to Microsoft Fabric](https://www.dataiq.global/articles/10-tips-to-successfully-migrate-to-microsoft-fabric/): Microsoft Fabric is gathering momentum across enterprise data teams, with leaders seeking best practices for migration. Those with experience are clear that migrating successfully isn’t just about technical setup but about designing new habits, ownership models and governance from day one.
- [Myth versus Reality of Technical Data Lineage](https://www.dataiq.global/articles/myth-versus-reality-of-data-lineage/): The path to robust data lineage is still uphill and strewn with pitfalls. DataIQ recently bought together leaders from mature organisations to exchange best practices on the topic, revealing a wealth common myths and practical advice on how to to meaningfully advance with technical data lineage.
- [1.9 Years: What Short CDO Tenure Says About Your Organisation](https://www.dataiq.global/articles/what-short-cdo-tenure-says-about-your-organisation/): Our latest report reveals that the average tenure of a Chief Data Officer in Europe is 1.9 years. In other words, the role designed to lead data and AI transformation across people, culture, and technology is gone in less than two years. What does that mean for your organisation?
- [Stop Explaining Agentic AI — Start Implementing It](https://www.dataiq.global/articles/stop-explaining-agentic-ai/): Scaling agentic AI and proving its worth with successful implementation is the challenge being faced by data and AI leaders as curiosity wanes.
- [Data and AI Leadership: Under Way and Under Pressure](https://www.dataiq.global/articles/data-and-ai-leadership-under-way-and-under-pressure/): A new report by DataIQ in collaboration with Databricks explores the real leadership work behind the AI-first organisation

## Events
- [Aligning Decentralised Data and AI Capabilities with Enterprise Strategy](https://www.dataiq.global/iqevents/aligning-decentralised-data-16-09-26/): Explore how leading organisations are balancing decentralised AI innovation with enterprise governance, architecture and investment.
- [Launching and Scaling AI Projects: From Blank Page to Operational Impact](https://www.dataiq.global/iqevents/launching-and-scaling-ai-projects-26-08-26/): This masterclass explores how Veolia started from a broad CEO-led question and developed a scalable AI programme for Energy Recovery Facilities, balancing discovery, adoption and practical impact.
- [Breaking Down Data Silos In Complex Organisations](https://www.dataiq.global/iqevents/roundtable-05-11-2026-710/): Discuss how organisations are connecting fragmented data teams and capabilities while preserving business ownership and agility. Share practical approaches to creating consistent standards without slowing down innovation.
- [Reimagining Data Stewardship in an AI-First World](https://www.dataiq.global/iqevents/roundtable-26-10-2026/): Explore how AI is transforming data stewardship by automating repetitive tasks and allowing stewards to focus on governance, ownership and decision-making. Discuss how organisations can redesign stewardship roles to increase engagement and accountability.
- [Is Your Architecture Fit for the Future?](https://www.dataiq.global/iqevents/roundtable-15-09-2026/): Assess your current architecture and make informed choices about what to modernise, replace, or integrate as demand for AI-ready infrastructure accelerates.
- [Hiring, Upskilling, Retaining: What Actually Solves the Data Talent Gap?](https://www.dataiq.global/iqevents/roundtable-02-09-2026/): Tackle persistent hiring and retention challenges by building strategies that go beyond just recruitment and focus on growing and keeping the right capabilities.
- [Data Literacy at Scale: Tactics for Culture Change Across the Business](https://www.dataiq.global/iqevents/roundtable-19-08-2026/): Explore how peers move from awareness to adoption by empowering employees across the organisation to use data and AI confidently in everyday decisions.
- [Industry Pulse: The Rise of Decision Intelligence](https://www.dataiq.global/iqevents/industry-pulse-08-07-26/): Following the publication of our latest research on decision intelligence, this session explores what the findings signal for how organisations operate and how data and AI leaders deliver value.
- [Evolving Data Governance for the AI Era in Regulated Industries](https://www.dataiq.global/iqevents/https-hub-dataiq-global-events-evolving-data-governance-for-the-ai-era-in-regulated-industries/): Explore how regulated organisations are evolving governance to support AI, balance compliance with agility, and align data, model risk and AI oversight.
- [Future-Proofing Your Test-and-Learn Capabilities In B2C](https://www.dataiq.global/iqevents/future-fit-test-and-learning-capabilities-05-08-2026-724/): Discover how leading organisations are building test-and-learn capabilities to foster experimentation, improve customer engagement and deliver measurable business outcomes.
- [Developing Data and AI Talent in High Maturity Organisations](https://www.dataiq.global/iqevents/accelerator-future-skills-and-capabilities-28-07-2026/): Exploring the future skills, roles, and capability models needed to thrive in a rapidly evolving AI landscape.
- [Making Data Governance and Data Quality a Shared Responsibility in Federated R&D Organisations](https://www.dataiq.global/iqevents/accelerator-making-data-quality-shared-responsibility-17-06-2026/): Exploring how federated organisations can drive accountability for data quality, align standards across teams, and build trusted data foundations for future AI and business needs.
- [Governing Critical Data Elements: Best Practice for Mature Regulated Organisations in the US](https://www.dataiq.global/iqevents/accelerator-governing-critical-data-04-08-2026/): How are leading US financial institutions identifying and governing critical data elements while balancing risk, ownership, and operational efficiency?
- [Starting a Data and AI Community of Practice](https://www.dataiq.global/iqevents/accelerator-creating-data-communities-14-07-26/): Exploring how organisations are building, scaling and measuring successful data communities of practice to drive engagement, enablement and shared best practice.
- [Agentic Series: Technical Infrastructure and Foundational Strategies Enabling Agentic AI.](https://www.dataiq.global/iqevents/accelerator-agenticseries-27-05-2026/): Explore how organisations are designing technical foundations, platforms, and control layers to safely build, deploy, and scale autonomous AI agents.
- [Data modelling to support data product delivery using GenAI](https://www.dataiq.global/iqevents/accelerator-genai-productivity-28-05-2026/): How are advanced organisations evolving data modelling practices to better support scalable, governed data delivery in complex, regulated environments?
- [Agentic data quality: how organisations are implementing tools and operating models](https://www.dataiq.global/iqevents/accelerator-agentic-data-quality-03-06-2026/): How are leading organisations using AI-powered, agentic approaches to transform data quality with human oversight in complex, regulated environments.
- [Designing a Scalable ETL, Data Warehousing, and Reporting Strategy for S/4HANA](https://www.dataiq.global/iqevents/accelerator-s-4hana-transformations-04-06-26/): Bridging the gap between evolving S/4HANA transformations and a robust, fit-for-purpose ETL strategy that delivers usable, trusted data at scale.
- [Driving Organisation-Wide Engagement in Data Literacy](https://www.dataiq.global/iqevents/accelerator-driving-organisational-data-literacy-21-05-26/): Practical strategies to engage employees and leaders, boost participation, and measure the real business impact of data literacy initiatives.
- [Successfully Activating Data Communities in Decentralised Organisations](https://www.dataiq.global/iqevents/accelerator-data-communities-07-05-26/): Turning fragmented data talent into a connected, high-impact community across the enterprise.
- [From Grassroots to Global Goals: Building High-Performing Data Teams](https://www.dataiq.global/iqevents/masterclass-grassroots-to-global-goals-10-06-26/): Drawing on grassroots football and the World Cup, this masterclass explores how organisations can build strong data cultures and high-performing teams across industries.
- [test event only – ignore test event only – ignore test event only – ignore test event only – ignore test event only – ignore test event only – ignore](https://www.dataiq.global/iqevents/test-event-only-ignore-test-event-only-ignore-test-event-only-ignore-test-event-only-ignore-test-event-only-ignore-test-event-only-ignore/): excerpt text goes here
- [2026 DataIQ Awards Shortlist Reveal](https://www.dataiq.global/iqevents/2026-dataiq-awards-shortlist-reveal/)
- [2026 DataIQ Awards Ceremony](https://www.dataiq.global/iqevents/2026-dataiq-awards-ceremony/)
- [2026 DataIQ Awards Entry Deadline](https://www.dataiq.global/iqevents/2026-dataiq-awards-entry-deadline/): Enter the 2026 DataIQ Awards to highlight the impact of your work, your team and organisation. Don’t miss your opportunity to stand out and receive the recognition your work truly deserves.
- [From Curated Datasets to Data Products that Drive Value](https://www.dataiq.global/iqevents/accelerator-curated-datasets-07-05-26/): This session focuses on realities of moving curated datasets to well-defined data and information products services that deliver measurable results in federated organisations.
- [Establishing a Unified Data Sharing Policy and Ownership Framework](https://www.dataiq.global/iqevents/accelerator-data-sharing-29-04-26/): How regulated organisations establish clear ownership, governance, and coordinated approval processes for responsible, scalable data sharing across complex international environments.
- [Delivering Responsible AI at Speed and Scale in Large, Complex Organisations](https://www.dataiq.global/iqevents/accelerator-responsible-ai-06-05-26/): How can large, complex organisations scale AI responsibly while balancing governance, collaboration, and innovation to deliver safe, high-value outcomes?
- [Industry Focus: Utilities: Earning Business Buy-In for Data and AI Ownership](https://www.dataiq.global/iqevents/roundtable-industry-focus-21-05-26/): Explore how data and AI teams build durable business partnership, so ownership, governance, and investment become shared commitments rather than data team initiatives.
- [Agentic Commerce: What Does the Future Hold and How Do You Prepare? ](https://www.dataiq.global/iqevents/roundtable-agentic-commerce-06-05-26/): Explore how B2C organisations are preparing for a shift from website-led commerce to AI agents that discover, evaluate, and transact on behalf of customers.
- [Measuring ROI of AI-Driven, Multi-Channel Marketing](https://www.dataiq.global/iqevents/roundtable-roi-21-04-26/): Explore how consumer and retail organisations are measuring true incremental impact and attribution across AI-driven, automated, multi-channel customer journeys. 
- [Best Practice for Starting Organisation Wide Data Literacy Programmes](https://www.dataiq.global/iqevents/accelerator-wide-data-literacy-02-04-2026/): Designing scalable data literacy programmes that drive engagement and capability across the organisation.
- [Scaling Data Literacy: Building Role-Based Competencies](https://www.dataiq.global/iqevents/accelerator-scaling-data-literacy-14-04-26/): Designing scalable data literacy programmes that drive engagement and capability across the organisation.
- [2026 DataIQ Awards Tables](https://www.dataiq.global/iqevents/2025-dataiq-awards-tickets-brand-565-420/)
- [Roundtable – Evolving Data Competency Frameworks for the AI Era: Lessons, Approaches, and Early Progress](https://www.dataiq.global/iqevents/roundtable-data-competency-frameworks-02-03-2026/): Discuss how organisations are evolving data competency frameworks for the era, sharing early progress, lessons, pilots, and challenges in building AI skills across the enterprise.
- [Modernising Geospatial Data Infrastructure: Migrating from On-Prem to Cloud](https://www.dataiq.global/iqevents/accelerator-geospatial-data-infrastructure-24-03-2026/): What it takes to move large-scale geospatial data from on-prem systems to cloud-native platforms.
- [Building Use Cases that Drive Value with the Business](https://www.dataiq.global/iqevents/accelerator-use-cases-01-04-2026/): How to identify, prioritise, and scale data use cases that deliver real business impact.
- [Roundtable – Evolution of the CDO: Growth Paths for Senior Data and AI Leaders](https://www.dataiq.global/iqevents/roundtable-cdo-evolution-23-03-25-865-611/): Look at how the CDO role is shifting, and what pathways leaders are taking to expand their influence and career opportunities.
- [Building a Trusted, Single View for Regulatory Decision-Making](https://www.dataiq.global/iqevents/accelerator-4-mar-2026/): How organisations are unifying complex data sources to deliver trusted insights for regulatory decision-making.
- [Transitioning to S/4HANA: Lessons Learnt](https://www.dataiq.global/iqevents/accelerator-3-mar-26/): How leading organisations are navigating data migration, governance, and value creation in S/4HANA.
- [2026 DataIQ Awards Masterclass](https://www.dataiq.global/iqevents/2026-dataiq-awards-masterclass/): Join us for an exclusive masterclass and get a behind-the-scenes look at what makes an award-winning submission stand out for the 2026 DataIQ Awards!
- [Storing and Using Personal Data in GDPR Compliant Way](https://www.dataiq.global/iqevents/accelerator-4-feb-26/): Learn how financial services organisations approach storing, sharing, and using personal data across cloud, on-prem, and distributed systems while remaining GDPR-compliant.
- [Proving Impact from Data Literacy and Upskilling Programmes](https://www.dataiq.global/iqevents/accelerator-5-feb-26/): Explore how data governance frameworks, accountability models, and roles are evolving to support the rise of autonomous AI agents and decision automation.
- [Data Literacy at Scale: Tactics for Culture Change Across the Business](https://www.dataiq.global/iqevents/roundtable-sep-26/): Explore how peers move from awareness to adoption by empowering employees across the organisation to use data and AI confidently in everyday decisions.

## Partners
- [MSQ](https://www.dataiq.global/partner/msq/): We are a data, tech and insight agency. Experts in unlocking actionable insight, measurable value and developing connected data-driven experiences, globally.
- [Anmut](https://www.dataiq.global/partner/anmut/): Connect data to your purpose, through strategic data asset management. Treat data as a prioritised asset, manage it for value, and maximise its potential.
- [Quest](https://www.dataiq.global/partner/erwinbyquest/): At Quest Software, we create technology and solutions that build the foundation for enterprise AI. By focusing on data management and governance, cybersecurity, and platform modernization, we help organizations solve their most pressing challenges and turn the promise of AI into reality.
- [Solidatus](https://www.dataiq.global/partner/solidatus/): Solidatus is the leading business lineage platform for complex, regulated, and hybrid data estates—delivering complete, bi-temporal, business-context-rich lineage that empowers organizations to prove, predict, and protect data use at enterprise scale.
- [BDO](https://www.dataiq.global/partner/bdo/): BDO UK provides tax, audit and assurance, advisory and business outsourcing services to companies across all sectors of the economy.
- [Blend](https://www.dataiq.global/partner/blend/): Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people.
- [WNS Analytics](https://www.dataiq.global/partner/wns-analytics/): WNS is a digital-led business transformation and services company with 63,390 professionals across 66 delivery centers worldwide, including facilities in 13 countries.
- [Alteryx](https://www.dataiq.global/partner/alteryx/): Alteryx, the Analytics Automation company, is focused on enabling every person to transform data into a breakthrough.
- [Seriös Group](https://www.dataiq.global/partner/serios-group/): Seriös Group are experts in data solutions, helping organisations take control of their data and deliver rapid value without compromise.
- [QuantumBlack, AI by McKinsey](https://www.dataiq.global/partner/quantumblack-ai-by-mckinsey/): As McKinsey’s data and analytics center of excellence, we enable clients and our teams to improve performance by using cutting-edge advanced analytics to make precise interventions with measurable results.
- [EXL](https://www.dataiq.global/partner/exl/): Drive your business forward with data & AI.
- [Acxiom](https://www.dataiq.global/partner/acxiom/): Acxiom unifies, connects, and prepares data for AI-driven marketing and decision-making, maximising technology investments.
- [Accenture](https://www.dataiq.global/partner/accenture/): Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Interactive, Technology and Operations services.

## 100 Alumni
- [Maria Zervou, Chief AI Officer EMEA, Databricks](https://www.dataiq.global/dataiq100/maria-zervou-chief-ai-officer-emea-databricks/): Maria Zervou is Chief AI Officer for EMEA at Databricks, where she works with organisations across industries to accelerate the adoption and scaling of AI. Her career has evolved alongside the development of the data and AI industry itself, giving her a unique perspective on both technological innovation and organisational transformation. 
- [Eileen Vidrine, CEO & Founder, Vidrine Vantage Consulting LLC](https://www.dataiq.global/dataiq100/eileen-vidrine-ceo-founder-vidrine-vantage-consulting-llc/): Eileen Vidrine is CEO and Founder of Vidrine Vantage Consulting LLC, where she advises organizations on data, AI, and strategic leadership. Her career has been defined by stepping into emerging spaces and shaping roles before they were formally established, with a consistent focus on using data to drive mission-critical decisions. 
- [Scott Taylor, The Data Whisperer, MetaMeta Consulting](https://www.dataiq.global/dataiq100/scott-taylor-the-data-whisperer-metameta-consulting-2/): Scott Taylor is Founder of MetaMeta Consulting and widely known as The Data Whisperer, a global voice on data storytelling and business engagement. As a full-time content creator, Scott partners with technology brands, media organizations, and industry groups to help organizations communicate the value of data and AI through keynotes, events, webinars, podcasts, and digital content. 
- [Sadie St. Lawrence, Founder and CEO, Human Machine Collaboration Institute (HMCI)](https://www.dataiq.global/dataiq100/sadie-st-lawrence-founder-and-ceo-human-machine-collaboration-institute-hmci/): Sadie St. Lawrence is Founder and CEO of the Human Machine Collaboration Institute (HMCI), where she focuses on advancing the intersection of AI, data, and human-centered leadership. Her career path spans multiple disciplines, beginning in music as a classically trained pianist, moving into neuroscience, and ultimately transitioning into data science. This unconventional journey has shaped her perspective on the gap between technological potential and real-world impact. 
- [Zee Moradi, Chief Data Officer Americas, UBS](https://www.dataiq.global/dataiq100/zee-moradi-chief-data-officer-americas-ubs/): Zee Moradi is Chief Data Officer for the Americas at UBS, where she is responsible for data strategy, integration, management, and innovation across the region. As a Managing Director, Zee leads efforts to strengthen data capabilities, enabling better decision-making, regulatory compliance, and business performance. 
- [Tom Henry, Chief Data and Deputy Chief Information Officer, Schnucks](https://www.dataiq.global/dataiq100/tom-henry-chief-data-and-deputy-chief-information-officer-schnucks/): Tom Henry is Chief Data and Deputy Chief Information Officer at Schnucks, where he leads the company’s data and information systems organization and serves as a member of the executive strategy team. In this role, Tom oversees high-performing data and IT teams responsible for building and maintaining a modern technology ecosystem that supports innovation, operational efficiency, and new revenue opportunities. 
- [Sonia Khosla, SVP, Chief Data & AI Officer, Globe Life](https://www.dataiq.global/dataiq100/sonia-khosla-svp-chief-data-ai-officer-globe-life/): Sonia Khosla is Senior Vice President and Chief Data and AI Officer at Globe Life, where she leads enterprise data, analytics, and AI strategy to drive business transformation and customer-focused outcomes. With more than 15 years of experience in technology, including over a decade dedicated to data and analytics, Sonia has built a strong track record in scaling data capabilities across complex organizations. 
- [Ranju Das, Chief AI & Technology Officer, Lululemon](https://www.dataiq.global/dataiq100/ranju-das-chief-ai-technology-officer-lululemon/): Ranju Das is Chief AI and Technology Officer at lululemon, where he leads the company’s AI and technology strategy to drive innovation, enhance operational efficiency, and elevate guest experiences. In this role, Ranju focuses on applying cloud computing, SaaS, and AI to transform retail operations while ensuring responsible and value-driven adoption of emerging technologies. 
- [Michelle Boston, Chief Information Officer, Bank of America](https://www.dataiq.global/dataiq100/michelle-boston-chief-information-officer-bank-of-america/): Michelle Boston is Chief Information Officer at Bank of America, where she leads technology strategy and execution to support the bank’s global operations and business lines. Based in Dallas, she brings more than a decade of leadership experience within the organization, with a strong focus on data, architecture, and enterprise technology. 
- [Karen Bernhard, Chief Data Officer, Citi](https://www.dataiq.global/dataiq100/karen-bernhard-chief-data-officer-citi-2/): Karen Bernhard is Chief Data Officer at Citi, where she leads enterprise data strategy and analytics to drive business value and strengthen decision-making across the organization. A results-oriented executive, Karen is known for identifying high-impact opportunities and delivering innovative, analytically rigorous solutions in complex, data-rich environments. 
- [Joern Mumme, AVP Data Science & Machine Learning, Hyatt](https://www.dataiq.global/dataiq100/joern-mumme-avp-data-science-machine-learning-hyatt/): Joern Mumme is Associate Vice President of Data Science and Machine Learning at Hyatt, where he leads the development of AI-driven strategies and scalable data solutions across the business. In this role, Joern focuses on applying advanced analytics and machine learning to drive innovation within the hospitality industry. 
- [Harish Rao, VP, Global Data and Analytics, Costco](https://www.dataiq.global/dataiq100/harish-rao-vp-global-data-and-analytics-costco/): Harish Rao is Vice President of Global Data and Analytics at Costco, where he leads data, AI, and marketing technology initiatives to drive revenue growth, operational efficiency, and enhanced member experience. With more than 25 years of experience, Harish has built a career focused on applying data, analytics, and emerging technologies to solve complex business challenges across retail, e-commerce, manufacturing, and financial services. 
- [Hannah Poferl, Chief Data Officer, Universal Music Group](https://www.dataiq.global/dataiq100/hannah-poferl-chief-data-officer-universal-music-group/): Hannah Poferl is Chief Data Officer at Universal Music Group, where she leads data strategy to support audience growth, commercial performance, and digital innovation. Based in Santa Monica, she brings deep experience at the intersection of media, analytics, and newsroom strategy. 
- [Emily Lyons, Chief Enterprise Data & Data Science Officer, Liberty Mutual Insurance](https://www.dataiq.global/dataiq100/emily-lyons-chief-enterprise-data-data-science-officer-liberty-mutual-insurance/): Emily Lyons is Chief Enterprise Data and Data Science Officer at Liberty Mutual Insurance, where she leads enterprise data strategy and advanced analytics to drive business performance and innovation. With nearly two decades at Liberty Mutual, Emily has built a career spanning actuarial science, analytics, and data leadership. 
- [Christy O’Gaughan, Chief Data & Analytics Officer, Abbvie](https://www.dataiq.global/dataiq100/christy-ogaughan-chief-data-analytics-officer-abbvie/): Christy O’Gaughan is Chief Data and Analytics Officer at AbbVie, where she leads data, analytics, and AI initiatives to advance commercial performance and improve patient outcomes. With 25 years of experience in healthcare, Christy has built a career focused on driving digital transformation through data, insights, and intelligent technologies. 
- [Caroline Arnold, EVP, Chief Data Officer & CIO, State Street](https://www.dataiq.global/dataiq100/caroline-arnold-evp-chief-data-officer-cio-state-street/): Caroline Arnold is Executive Vice President, Chief Data Officer and Chief Information Officer at State Street, where she leads enterprise data and technology strategy to support global investment operations and client services. A highly commercial technology leader, Caroline brings deep experience across investment banking, capital markets, research, compliance, and digital platforms. 
- [Brian Dummann, VP, IT & Chief Data Officer, AstraZeneca](https://www.dataiq.global/dataiq100/brian-dummann-vp-it-chief-data-officer-astrazeneca/): Brian Dummann is Vice President of IT and Chief Data Officer at AstraZeneca, where he leads technology and data strategy to drive innovation and business outcomes across the organization. Known as an influential technology leader, Brian partners closely with business stakeholders to translate emerging capabilities into practical, enterprise-scale impact. 
- [Andy Markus, Chief Data Officer, AT&T](https://www.dataiq.global/dataiq100/andy-markus-chief-data-officer-att/): Andy Markus is Chief Data Officer at AT&T, where he leads enterprise data and AI strategy with a focus on democratization, governance, and responsible use of consumer data. A seasoned data and analytics executive, Andy has built a career delivering creative, value-driven, and privacy-compliant solutions to complex, real-world challenges. 
- [Andrew Reiskind, Chief Data Officer, Mastercard](https://www.dataiq.global/dataiq100/andrew-reiskind-chief-data-officer-mastercard/): Andrew Reiskind is Chief Data Officer at Mastercard, where he leads enterprise data strategy and governance to ensure responsible data innovation across the organization. In his role, Andrew oversees data policy, data quality, AI governance, privacy, and ethical data use, enabling Mastercard to deliver data-driven insights and products with trust at the core. 
- [Ellen Nielsen, Board Advisor and CDAIO Executive](https://www.dataiq.global/dataiq100/ellen-nielsen-board-advisor-and-cdaio-executive/): Ellen Nielsen is a Board Advisor and CDAIO Executive with more than 30 years of experience spanning IT, digital transformation, procurement, supply chain, and data and AI leadership. She most recently served as Chevron’s first Chief Data Officer, where she led enterprise data strategy and transformation efforts. 
- [Asha Saxena, Founder and CEO, World Leaders in Data and AI](https://www.dataiq.global/dataiq100/asha-saxena-founder-and-ceo-world-leaders-in-data-and-ai/): Asha Saxena is Founder and CEO of World Leaders in Data and AI, where she focuses on advancing data and AI leadership through global community building, education, and enterprise engagement. Her career has been shaped at the intersection of data, product, and business transformation, with a consistent focus on closing the gap between insight and action. 
- [Xingchu Liu, Chief Data and Analytics Officer, Commercial, Genentech](https://www.dataiq.global/dataiq100/xingchu-liu-chief-data-and-analytics-officer-commercial-genentech/): Xingchu Liu is Chief Data and Analytics Officer, Commercial, at Genentech, where he leads digital, data, and analytics strategy to scale AI and deliver measurable impact for patients. With more than 20 years of experience, Xingchu has built his career at the intersection of data, analytics, and AI across both startups and large enterprises. 
- [Van Lin, Sr Director, Strategic Alignment Office, Freddie Mac](https://www.dataiq.global/dataiq100/van-lin-sr-director-strategic-alignment-office-freddie-mac/): Van Lin is Senior Director of the Strategic Alignment Office at Freddie Mac and serves as Chief of Staff to the Single Family Data and Decisions Chief Data Officer. With more than 25 years of experience, including over two decades in leadership roles, she has built a career at the intersection of business and technology, focused on data operations, governance, and transformation. 
- [Tijuana Willis, VP, CDO Governance, Zurich American Insurance Company](https://www.dataiq.global/dataiq100/tijuana-willis-vp-cdo-governance-zurich-american-insurance-company/): Tijuana Willis is Vice President of CDO Governance at Zurich American Insurance Company, where she leads governance initiatives that support enterprise data management and strategic alignment. With more than three decades at Zurich North America, Tijuana brings deep institutional knowledge and a consistent track record of delivering large-scale data programs. 
- [Peter De Rama, Sr Executive Director, Technology and Digital Transformation, Destination Canada](https://www.dataiq.global/dataiq100/peter-de-rama-sr-executive-director-technology-and-digital-transformation-destination-canada/): Peter De Rama is Senior Executive Director of Technology and Digital Transformation at Destination Canada, where he leads the strategic direction and delivery of enterprise-wide technology initiatives. His remit spans enterprise architecture, digital platforms, cybersecurity, IT infrastructure, and agile solution delivery, reflecting a broad mandate to modernize capabilities while ensuring alignment with organizational priorities. 
- [Michael Leal, SVP Enterprise Data Senior Manager, Truist](https://www.dataiq.global/dataiq100/michael-leal-svp-enterprise-data-senior-manager-truist/): Michael Leal is Senior Vice President and Enterprise Data Senior Manager at Truist, where he leads enterprise data initiatives focused on governance, risk management, and operational performance. With more than 15 years of experience in technology and data-driven transformation, he brings a structured, delivery-focused approach to managing complex programs within large-scale organizations. 
- [Megan Brown, Director, Starbucks Data Office, Starbucks](https://www.dataiq.global/dataiq100/megan-brown-director-starbucks-data-office-starbucks/): Megan Brown is Director of the Starbucks Data Office at Starbucks, where they lead the development and execution of enterprise data strategy across key areas including data quality, governance, metadata, and data literacy. With nearly a decade at Starbucks, Megan has built a reputation for translating complex business priorities into actionable data and analytics strategies that deliver measurable impact. 
- [Lorelei Chernyshov, VP Analytics, Information Leader, Synchrony](https://www.dataiq.global/dataiq100/lorelei-chernyshov-vp-analytics-information-leader-synchrony/): Lorelei Chernyshov is Vice President of Analytics and Information Lifecycle Management Leader at Synchrony, where she oversees the strategy and execution of information management practices across the organization. With more than a decade of experience in information governance and analytics, she focuses on building structured, policy-driven frameworks that balance data utility with risk, compliance, and ethical considerations. 
- [Fabien Thiaucourt, Sr VP, Data Governance and Enablement, Mastercard](https://www.dataiq.global/dataiq100/fabien-thiaucourt-sr-vp-data-governance-and-enablement-mastercard/): Fabien Thiaucourt is Senior Vice President of Data Governance and Enablement at Mastercard, where he leads enterprise efforts to strengthen data governance, accessibility, and strategic use of data across the organization. With more than two decades of experience spanning data platforms, governance, and program leadership, he brings a structured, execution-focused approach to enabling data at scale. 
- [Craig Lescher, Data & AI Governance Director, Sidley Austin LLP](https://www.dataiq.global/dataiq100/craig-lescher-data-ai-governance-director-sidley-austin-llp/): Craig Lescher is Data and AI Governance Director at Sidley Austin LLP, where he leads the firm’s approach to data governance and responsible AI adoption. With over a decade of experience in the insurance industry prior to moving into legal services, he brings a risk-aware, commercially grounded perspective to the design and execution of governance frameworks. 
- [Amy Gromowski, VP, Head of Data Science, Cotality](https://www.dataiq.global/dataiq100/amy-gromowski-vp-head-of-data-science-cotality/): Amy Gromowski is VP, Head of Data Science at Cotality, where she leads the development and application of advanced AI and machine learning solutions across the mortgage, insurance, and real estate markets. With more than two decades of experience spanning actuarial science, product development, and analytics leadership, she brings a commercially grounded approach to data-driven innovation. 
- [Akshay Vashist, ED, Data Science & AI, Otsuka America Pharmaceutical, Inc](https://www.dataiq.global/dataiq100/akshay-vashist-ed-data-science-ai-otsuka-america-pharmaceutical-inc/): Akshay Vashist is Executive Director of Data Science and AI at Otsuka America Pharmaceutical, Inc., where he leads the application of advanced analytics to support scientific innovation, strategic decision-making, and operational performance. With a career spanning multiple industries, including telecommunications, research, digital health, and pharmaceuticals, he brings a cross-sector perspective to the use of AI and data science as drivers of business value. 
- [Randy Mangelsen, Co-Head of Investment Analytics, Allspring Global Investments](https://www.dataiq.global/dataiq100/randy-mangelsen-co-head-of-investment-analytics-allspring-global-investments/): Randy Mangelsen is Co-Head of Investment Analytics at Allspring Global Investments, where he focuses on advancing the firm’s ability to derive insight and value from data. While his career has been anchored in risk management, Randy has spent the majority of his professional journey working in data science and analytics within the investment domain. 
- [Robert Yue, VP, Data Intelligence, AARP Services Inc.](https://www.dataiq.global/dataiq100/robert-yue-vp-data-intelligence-aarp/): Robert Yue is Vice President of Data Intelligence at AARP Services Inc., where he leads data and AI initiatives to deliver scalable, business-driven outcomes. His career has been shaped by a strong multidisciplinary foundation, combining expertise in business, statistics, and computer science. Robert holds three master’s degrees across these fields, enabling him to integrate quantitative rigor with technological depth in addressing complex challenges. 
- [Susan Laine, Field Chief Technology Officer, Quest Software](https://www.dataiq.global/dataiq100/susan-laine-field-chief-technology-officer-quest-software/): Susan Laine is Field Chief Technology Officer at Quest Software, where she advises organizations on data management strategy and best practices. With over 26 years of experience in the field, Susan has built her career helping enterprises navigate the complexities of data governance, architecture and enablement. 
- [Ozgur Dogan, Co-Founder, President, Americas, Blend](https://www.dataiq.global/dataiq100/ozgur-dogan-co-founder-president-americas-blend/): Ozgur Dogan is Co-Founder and President, Americas at Blend, where he leads regional growth and the application of data, analytics, and AI to drive business outcomes. His career began in data science before the discipline was widely defined, building early customer churn models using neural networks well ahead of their mainstream adoption. This experience shaped his enduring belief that the value of AI lies not in model complexity, but in its ability to influence real business decisions. 
- [Nick Bonfiglio, CEO & Co-Founder, Syncari](https://www.dataiq.global/dataiq100/nick-bonfiglio-ceo-co-founder-syncari/): Nick Bonfiglio is CEO and Co-Founder of Syncari, where he leads the company’s vision to build modern data infrastructure for real-time, enterprise-scale operations. With more than 20 years of experience, Nick has built data systems at global scale across organizations including SAP, Marketo, and Adobe, where he was named a Tech Fellow, one of the company’s highest technical honors. 
- [Ari Kaplan, Global Head of Evangelism, Databricks](https://www.dataiq.global/dataiq100/ari-kaplan-global-head-of-evangelism-databricks/): Ari Kaplan is Global Head of Evangelism at Databricks, where he works with organizations worldwide to advance the use of data and AI at scale. His career spans multiple waves of technological change, from early database systems and the rise of the internet to modern lakehouse architectures and AI-driven platforms. 
- [Randy Bean, Founder, CEO, Advisor, Data & AI Leadership Exchange](https://www.dataiq.global/dataiq100/randy-bean-founder-ceo-advisor-data-ai-leadership-exchange/): Randy Bean is Founder and CEO of the Data and AI Leadership Exchange and a long-standing advisor to Fortune 1000 organizations on data and AI leadership. With more than four decades of experience, Randy has played a central role as a participant, observer, and thought leader in the evolution of data and AI. 
- [Yuri Aguiar, SVP, Chief Technology Officer, Tokio Marine North America Services](https://www.dataiq.global/dataiq100/yuri-aguiar-svp-chief-technology-officer-tokio-marine-north-america-services/): Yuri Aguiar earns his place among North America’s top data and AI leaders by pairing deep technical experience with a clear-eyed view of what drives enterprise impact. He operates beyond the confines of pure technology leadership, focusing on how data and AI become embedded in decision-making and operational performance. His career reflects an ability to adapt early, from internet-era transformation through to applied AI in unstructured data environments. What distinguishes his approach is an emphasis on adoption over experimentation by recognizing that without strong data foundations, intuitive interfaces, and organizational alignment, AI will stall. His leadership leans heavily on communication and talent-building, translating complexity into business relevance while developing teams capable of sustaining progress. In a landscape prone to overestimating technology and underestimating execution, Aguiar’s pragmatism positions him firmly in the top tier. 
- [Wendy Batchelder, Senior Vice President & Chief Data Officer, Centene Corporation](https://www.dataiq.global/dataiq100/wendy-batchelder-senior-vice-president-chief-data-officer-centene-corporation/): Wendy Batchelder is Senior Vice President and Chief Data Officer at Centene Corporation, where she leads enterprise data strategy to support business transformation and AI readiness. Her career spans financial services, technology, and healthcare, with a consistent focus on connecting data initiatives to measurable business impact. 
- [Wei Manfredi, SVP, AI & Architecture, IHG Hotels and Resorts](https://www.dataiq.global/dataiq100/wei-manfredi-svp-ai-architecture-ihg-hotels-and-resorts/): Wei stands out among North America’s leading data and AI executives by pushing beyond incremental transformation towards a fundamentally different operating model. At IHG, she is re-architecting how AI is created, governed, and scaled through a unified agentic AI platform that brings visibility, control, and usability to what is often a fragmented landscape. Her career across global enterprises reflects a consistent ability to translate complex architecture into measurable business outcomes at scale. What differentiates her leadership is a dual focus on systems and culture: embedding governance and observability at the infrastructure level while simultaneously enabling non-technical teams to participate in AI creation. Her concept of an AI Creator Economy captures a broader shift many organizations are still grappling with. In a market moving past experimentation, Wei's emphasis on trust, adoption, and enterprise-wide integration places her firmly at the forefront of data and AI leadership. 
- [Vishal Talwar, Executive Vice President and Chief Digital and Information Officer, FedEx Corporation; President of FedEx Dataworks, FedEx Corporation](https://www.dataiq.global/dataiq100/vishal-talwar-executive-vice-president-and-chief-digital-and-information-officer-fedex-corporation-president-of-fedex-dataworks-fedex-corporation/): Vishal Talwar is Executive Vice President and Chief Digital and Information Officer at FedEx Corporation, and President of FedEx Dataworks. He brings nearly three decades of experience leading large-scale digital transformations and helping global enterprises apply data, AI, and technology to drive competitive advantage. His career has shaped a clear perspective: successful AI leadership is not defined by technical sophistication alone, but by strong business alignment, disciplined governance, and a human-centered approach to adoption. 
- [Vikram Somaya, CDAO – Chief Data & Analytics Officer, Kenvue](https://www.dataiq.global/dataiq100/vikram-somaya-cdao-chief-data-analytics-officer-kenvue/): Vikram Somaya is Chief Data and Analytics Officer at Kenvue, where he leads enterprise data and analytics strategy to support transformation across a complex global consumer goods ecosystem. His career spans startups, media, and consumer packaged goods, giving him a broad perspective on how data and AI can drive business change. 
- [Vijay Rajandram, Chief Data Officer, Northern Trust Asset Management](https://www.dataiq.global/dataiq100/vijay-rajandram-chief-data-officer-northern-trust-asset-management/): Vijay Rajandram is Chief Data Officer at Northern Trust Asset Management, where he leads data and AI strategy to drive innovation, strengthen governance, and enable a more data-driven organization. With more than 25 years of experience, Vijay has built a career focused on delivering transformative outcomes across both Fortune 500 companies and start-ups. 
- [Venkat Gopalan, Chief Digital, Data & Technology Officer, Belcorp](https://www.dataiq.global/dataiq100/venkat-gopalan-chief-digital-data-technology-officer-belcorp-2/): Venkat Gopalan is Chief Digital, Data and Technology Officer at Belcorp, where he leads enterprise transformation across digital, data, and technology to drive growth and operational performance. With more than 25 years of experience, Venkat has built his career at the intersection of technology, business strategy, and human behavior. 
- [Ursula Cottone, Chief Data and Architecture Officer, Huntington Bank](https://www.dataiq.global/dataiq100/ursula-cottone-chief-data-and-architecture-officer-huntington-bank/): Ursula Cottone is Chief Data and Architecture Officer at Huntington Bank, where she leads the enterprise data and architecture strategy with a focus on driving business value through disciplined governance, modern platforms, and cultural transformation. 
- [Tifani McCann, VP, Data & Analytics, Otsuka Pharmaceutical](https://www.dataiq.global/dataiq100/tifani-mccann-vp-data-analytics-otsuka-pharmaceutical/): Tifani McCann is Vice President of Data and Analytics at Otsuka Pharmaceutical, where she leads enterprise data and AI strategy to support innovation and improved patient outcomes. Her career has been shaped by a strong foundation in problem-solving, rooted in an early interest in puzzles that evolved into a passion for using data to inform real-world decisions. 
- [Tarun Sood, Chief Data and AI Officer, American Century Investments](https://www.dataiq.global/dataiq100/tarun-sood-chief-data-and-ai-officer-american-century-investments/): Tarun Sood is Chief Data and AI Officer at American Century Investments, where he leads enterprise data and AI strategy to drive business growth, operational efficiency, and better decision-making. His leadership has been defined by a focus on building scalable, trusted data capabilities that deliver measurable outcomes. 
- [Sushma Punuru, EVP, Chief Data Officer, Global Payments](https://www.dataiq.global/dataiq100/sushma-punuru-evp-chief-data-officer-global-payments/): Sushma Punuru is Executive Vice President and Chief Data Officer at Global Payments, where she leads the company’s data and AI strategy with a focus on business outcomes, growth, and customer impact. 

## Award Winners
- [Grand Prix Award – Love Business](https://www.dataiq.global/award-winner/grand-prix-award-love-business/): Love Business has been awarded the Grand Prix for 2025 with the submission highest rated by all the judging panel.
- [Best Data and AI Team (Europe) – Openreach](https://www.dataiq.global/award-winner/best-data-and-ai-team-europe-openreach/): The Openreach Data and Insight team has reshaped how Openreach harnesses data: reducing complexity, accelerating insight, and delivering measurable business impact worth hundreds of millions of pounds. 
- [Best Data & AI Team (Media) – News UK](https://www.dataiq.global/award-winner/best-data-ai-team-media-news-uk/): In a fast-changing media landscape, News UK’s Data Team has shown how strong data foundations, bold AI innovation, and embedded expertise can transform a heritage organisation.
- [Emerging Data Talent of the Year – Ben Pereira, Starbucks EMEA](https://www.dataiq.global/award-winner/emerging-data-talent-of-the-year-ben-pereira-starbucks-emea/): From self-funding his own training to transforming how Starbucks EMEA makes data-driven decisions, apprentice Ben Pereira has shown what’s possible when talent, curiosity, and determination meet opportunity. 
- [Data & AI Leader of the Year (Global) – Natalijia Bezubova, Entain](https://www.dataiq.global/award-winner/data-ai-leader-of-the-year-global-natalijia-bezubova-entain/): Natalija Bezubova has redefined what it means to lead with data at scale. By transforming analytics into a strategic partner, embedding measurable value frameworks, and fostering a global culture of trust and inclusion, she has delivered huge financial impact and positioned analytics as a competitive advantage.
- [Data & AI Leader of the Year (Europe) – Dan Taffler, Reach Plc](https://www.dataiq.global/award-winner/data-ai-leader-of-the-year-europe-dan-taffler/): Dan Taffler transformed how businesses leverage data and AI to drive growth, productivity, and innovation. From pioneering industry-leading AI products to embedding an enablement framework that reshaped culture, his leadership has delivered measurable commercial value.
- [Best Place to Work in Data & AI – Solution Provider – Ekimetrics](https://www.dataiq.global/award-winner/best-place-to-work-in-data-ai-solution-provider-ekimetrics/): Ekimetrics boasts 100% of employees recommending it as a place to work and 89% report the company’s model boosts their performance and motivation. Over two years, the UK team has more than doubled in size, demonstrating that trust, growth, and collaboration are more than values on a slide.
- [Best Place to Work in Data & AI – Superdrug](https://www.dataiq.global/award-winner/best-place-to-work-in-data-ai-superdrug/): Superdrug’s Insights Team is proof that people-first culture drives business impact. With a diverse, growing team, strong development opportunities, and an inclusive structure, the team has embedded insight-led decision-making across the business.
- [Data-Driven and AI-Enabled Brand of the Year – Nestlé](https://www.dataiq.global/award-winner/data-driven-and-ai-enabled-brand-of-the-year-nestle/): Nestlé has demonstrated how a heritage brand can become a data-driven, AI-enabled enterprise, integrating intelligent technology across its marketing ecosystem to drive effectiveness, efficiency, and measurable growth.
- [New Ways of Working with Data (Global) – Syngenta](https://www.dataiq.global/award-winner/new-ways-of-working-with-data-global-syngenta/): Syngenta’s Crop Protection R&D has moved from siloed, inaccessible data and low data literacy to a thriving data mesh underpinned by a cutting-edge platform and an ambitious upskilling academy.
- [New Ways of Working with Data (Europe) – News UK](https://www.dataiq.global/award-winner/new-ways-of-working-with-data-europe-news-uk/): News UK transformed its newsrooms by embedding data into everyday editorial decision-making. Through Times Editorial Data, daily reviews, and clear story quotas, instinct was complemented with insight, driving a reduction in low-performing articles and a more impactful output.
- [Most Effective Stakeholder Engagement – Coventry Building Society](https://www.dataiq.global/award-winner/most-effective-stakeholder-engagement-coventry-building-society/): Coventry Building Society has transformed Data Governance from a framework on paper into a lived reality. By embedding governance into delivery, training hundreds of colleagues, and making data risk visible from boardroom to frontline, the Society has created a culture where data management is everyone’s responsibility.
- [Best Data Story or Data Visualisation – Superdrug](https://www.dataiq.global/award-winner/best-data-story-or-data-visualisation-superdrug/): By turning complex data into clear, engaging stories, Superdrug has transformed how insights drive decisions. With innovations like Dashboard Central and Shopper Missions, the retailer has combined impactful design with compelling storytelling.
- [Best Data Academy or Skills Development Programme – Love Business](https://www.dataiq.global/award-winner/best-data-academy-or-skills-development-programme-love-business/): From dependency to empowerment, the LOVE Data Academy has transformed how staff at Love Business interact with data, earning it Best Data Academy or Skills Development Programme at the 2025 DataIQ Awards.
- [Best Cross-Border Data and AI Collaboration – Nestlé](https://www.dataiq.global/award-winner/best-cross-border-data-and-ai-collaboration-nestle/): With operations spanning 185 countries and more than 3,000 brands, Nestlé’s Marketing Data Foundation and Analytics (MDFA) initiative has unified data, technology, and talent across borders—creating one global marketing data layer that powers smarter, faster, and more consistent decision-making.
- [Best AI Literacy Initiative – The Financial Times](https://www.dataiq.global/award-winner/best-ai-literacy-initiative-the-financial-times/): The Financial Times has continued to evolve its award-winning data and AI literacy journey and demonstrated to the DataIQ judging panel that the AI Fluency Initiative has given staff confidence and responsibility with data and AI in 2025.
- [Most Innovative Use of AI (Global) – Burberry](https://www.dataiq.global/award-winner/most-innovative-use-of-ai-global-burberry/): Burberry has reimagined luxury client service with Penguin, a generative AI-powered discovery and recommendation platform. Enhancing the creativity and effectiveness across every global market, Penguin has driven uplift in value and set a new standard for human–AI collaboration in fashion.
- [Most Innovative Use of AI (Europe) – Notting Hill Genesis](https://www.dataiq.global/award-winner/most-innovative-use-of-ai-europe-notting-hill-genesis/): By harnessing AI to predict disrepair risks and automate property inspections, Notting Hill Genesis has redefined what innovation looks like in housing management. Its pioneering tools have enhanced tenant safety, reduced legal costs, improved staff efficiency, and set a new benchmark for AI in the housing sector.
- [Data & AI for Good Hero Organisation Award – NatWest Group](https://www.dataiq.global/award-winner/data-ai-for-good-hero-organisation-award-natwest-group/): By co-leading the world’s first Data Fusion pilot, NatWest Group has demonstrated how data can be mobilised responsibly to tackle society’s toughest challenges. In partnership with the National Crime Agency and six other banks, the initiative has identified organised crime networks to protect victims and safeguard the UK’s financial system.
- [Best Responsible AI Programme or Initiative – Lloyds Banking Group](https://www.dataiq.global/award-winner/best-responsible-ai-programme-or-initiative-lloyds-banking-group/): Lloyds Banking Group’s Responsible AI Programme has been recognised as Best Responsible AI Programme or Initiative at the 2025 DataIQ Awards, reflecting the bank’s ability to turn ethics into a practical operating model for AI. 
- [Best Data Governance with AI Initiative – NatWest and Version 1](https://www.dataiq.global/award-winner/best-data-governance-with-ai-initiative-natwest-and-version-1/): Conscious of both the opportunities and risks of AI, NatWest and Version 1 designed a pragmatic, organisation-wide AI governance framework enabling safe, ethical, and scalable AI adoption.
- [Transformation with AI (Global) – The British Council](https://www.dataiq.global/award-winner/transformation-with-ai-global-the-british-council/): The British Council’s Eva App has revolutionised access to evaluation insights. The solution delivers instant, evidence-backed answers from a multilingual repository of over 200 reports, saving time, cutting consultant costs, and embedding data-driven decision-making into daily practice.
- [Transformation with AI (Europe) – EDF UK](https://www.dataiq.global/award-winner/transformation-with-ai-europe-edf-uk/): EDF UK is helping Britain achieve Net Zero through practical AI-powered products that are changing customer behaviour at scale. EDF's strategies are reshaping engagement, reducing carbon, and proving that data and AI can align household incentives with national decarbonisation goals.
- [Transformation with Data (Global) – Burberry](https://www.dataiq.global/award-winner/transformation-with-data-global-burberry/): Burberry has redefined the luxury retail experience by embedding Customer Science at the heart of its in-store strategy. With AI-powered campaigns doubling conversion rates, tripling engagement, and driving incremental revenue, Burberry’s single customer view ensures every interaction is timely, personal, and distinctly Burberry.
- [Transformation with Data (Europe) – Lebara](https://www.dataiq.global/award-winner/transformation-with-data-europe-lebara/): Lebara has redefined itself from a retail-first telco with siloed systems into a digital-first, AI-driven business. By creating a dedicated analytics team, and embedding machine learning into customer engagement, Lebara has grown its customer base, cut churn, and achieved category-leading satisfaction scores.
- [Breakthrough with Data or AI – Veolia](https://www.dataiq.global/award-winner/breakthrough-with-data-or-ai-veolia/): By harnessing AI to transform the way Energy Recovery Facilities are managed, Veolia has set a new standard in operational excellence with AI-driven modules for steam, electrical, and boiler monitoring to deliver tangible gains.
- [Lifetime Achievement Award – Carolyn E. Stebbings](https://www.dataiq.global/award-winner/lifetime-achievement-award-carolyn-e-stebbings/): Carolyn E. Stebbings received the DataIQ 2025 Lifetime Achievement Award for her tenacious dedication to enhancing the data and AI landscape of organisations and training the future leaders of the industry.
- [Data and AI Leader of the year (Solution Provider) – Rob Fuller, Blend](https://www.dataiq.global/award-winner/data-and-ai-leader-of-the-year-vendor-rob-fuller-blend/): Rob Fuller has been selected as Data and AI Leader of the Year because of what he has built for Blend, but also for the scale, sophistication, and sustained business value his leadership has delivered.  
- [DataIQ Lifetime Achievement Award – Randy Bean](https://www.dataiq.global/award-winner/dataiq-lifetime-achievement-award-randy-bean/): In a world where the data and AI landscape is in constant flux, few figures have stood as steadfast and influential as Randy Bean. Over a career spanning more than four decades, Randy has carved a singular path as a pioneering voice on the strategic role of data and artificial intelligence within modern enterprise. His combination of intellectual rigor, practical insight, and relentless advocacy for data leadership make him a defining candidate for the DataIQ Lifetime Achievement Award. 
- [Best Responsible AI Program or Initiative – TD: Trustworthy AI](https://www.dataiq.global/award-winner/best-responsible-ai-program-or-initiative-td-trustworthy-ai/): In an era where AI capabilities are accelerating faster than governance frameworks can keep pace, TD has taken a grounded, pragmatic approach to building trust into its AI initiatives, setting an industry benchmark. TD’s initiative stands out for its substance, ambition, and execution. 
- [Data and AI For Good Champion – Monica Kedzierski, formerly at Herbalife](https://www.dataiq.global/award-winner/data-and-ai-for-good-champion-monica-kedzierski-formerly-at-herbalife/): Monica Kedzierski’s career has deployed AI and data in a way that redefines how a global business can embed these resources in service of broader human and societal outcomes. Her work demonstrates that AI for good is a leadership principle with tangible results, sustained vision, and ethical backbone. 
- [Transformation with Data & AI (Solution Provider) – NTT DATA](https://www.dataiq.global/award-winner/transformation-with-data-ai-solution-provider-ntt-data/): NTT DATA’s Digital Twin of Customer (DToC) initiative is a sharp reimagining of how businesses interact with, understand, and serve their customers. In a landscape saturated with claims about customer-centricity, DToC demonstrates what it takes to deliver on that promise using real-time data, AI, and machine learning to create actionable, individualized insight that drives business outcomes. 
- [Transformation with Data & AI (Client Side) Destination Canada](https://www.dataiq.global/award-winner/transformation-with-data-ai-client-side-destination-canada/): Destination Canada’s Canadian Tourism Data Collective is an impressive example of data infrastructure and a national transformation effort that redefines how an entire industry operates. In a sector dominated by SMEs and historically fragmented access to insight, this initiative has introduced data and AI as shared, strategic assets. Shifting from reactive recovery to proactive, intelligent planning is what makes Destination Canada a standout organization that is transforming with Data and AI. 
- [Most Innovative Use of AI (Client Side) – Carrie Rath, Lowes Food](https://www.dataiq.global/award-winner/most-innovative-use-of-ai-client-side-carrie-rath-lowes-food/): Carrie Rath’s work at Lowes Foods exemplifies what innovation in AI looks like when rooted in frontline expertise and business-critical impact. She applied Zebra’s Workcloud Actionable Intelligence software and transformed how it is used, building a new standard for loss prevention that is proactive, precise, and profit-protecting. 
- [Grand Prix – International Air Transport Association (IATA)](https://www.dataiq.global/award-winner/grand-prix-international-air-transport-association-iata/): International Air Transport Association (IATA) has been awarded the Grand Prix for 2025. The Grand Prix is presented to the submission that scored highest across all the judges, which this year has been won by IATA for its submission to the Data and AI for Good Hero Organization Award category. 
- [Environmental, Social, and Governance (ESG) Data and AI award – University Health Network – Dunn House](https://www.dataiq.global/award-winner/environmental-social-and-governance-esg-data-and-ai-award-university-health-network-dunn-house/): In a landscape where healthcare outcomes are increasingly shaped by social determinants, University Health Network’s (UHN) Dunn House initiative stands out as a pioneering model of what is possible when data, healthcare, and social action are seamlessly integrated. Dunn House is a systemic intervention that redefines how data-driven collaboration can achieve deep, lasting social and health impact. 
- [Data and AI Leader of the Year (Client Side) – Meaghan Ferrigno, Destination Canada](https://www.dataiq.global/award-winner/data-and-ai-leader-of-the-year-client-side-meaghan-ferrigno-destination-canada/): Meaghan Ferrigno exemplifies what it means to be a data and AI leader that can reshape industries through insight, influence, and execution. At Destination Canada, her leadership has turned data from a back-office function into a strategic lever for national competitiveness in tourism. 
- [Data and AI For Good Hero Organization Award – International Air Transport Association (IATA)](https://www.dataiq.global/award-winner/data-and-ai-for-good-hero-organization-award-international-air-transport-association-iata/): The Incident Data Exchange (IDX), part of IATA’s Global Aviation Data Management (GADM) platform, is a textbook example of how data and AI can serve a higher purpose. It is a technological ambition safeguarding lives, enhancing trust, and enabling informed decisions across one of the most safety-critical industries in the world: aviation.  
- [Data & AI Leader of the Year (Influencer): Ari Kaplan](https://www.dataiq.global/award-winner/data-ai-leader-of-the-year-influencer-ari-kaplan/): Ari Kaplan’s career is not defined by a single breakthrough or a fleeting moment of success, but by sustained, industry-shaping impact across multiple paradigms in data and AI. What makes his candidacy for Data and AI Leader of the Year stand out include his current achievements at Databricks and the depth and breadth of his influence over decades. 
- [Best Use of Data and AI for Healthcare Award – Vertex Pharmaceuticals](https://www.dataiq.global/award-winner/best-use-of-data-and-ai-for-healthcare-award-vertex-pharmaceuticals/): Vertex Pharmaceuticals’ application of LLMs to automate the development of Informed Consent Forms (ICFs) stands out not as a speculative proof-of-concept, but as a rigorously executed, business-driven innovation with clear, measurable outcomes. In a year when AI experimentation has proliferated, Vertex demonstrates what operational maturity in AI looks like in healthcare: targeted, grounded, and transformative without losing sight of compliance or patient experience. 
- [Best Place to Work in Data and AI (Solution Provider): Blend](https://www.dataiq.global/award-winner/best-place-to-work-in-data-and-ai-solution-provider-blend/): Blend demonstrated its worthiness as Best Place to Work, not through slogans or surface-level perks, but through a deep, systemic commitment to culture, capability, and impact. Operating at the intersection of human expertise and AI innovation, Blend has shown itself to be a strategic environment where people grow, collaborate, and lead real change across the data and AI landscape. 
- [Best Place to Work in Data and AI (Client Side): Colgate-Palmolive](https://www.dataiq.global/award-winner/best-place-to-work-in-data-and-ai-client-side-colgate-palmolive/): Colgate-Palmolive has made a deliberate and sustained investment in cultivating a technically capable data organization and a company-wide culture where data and AI are embedded into the rhythm of daily decision-making. This is not about box-ticking or trend-chasing but instead is about a deep transformation grounded in leadership, learning, and long-term impact. 
- [Best Data and AI Team – National Grid](https://www.dataiq.global/award-winner/best-data-and-ai-team-national-grid/): The Data Science team at National Grid stands out for the technical sophistication of its work and the depth of its integration across the organization, its culture of collaboration, and the measurable value it delivers at scale. In a sector under mounting pressure to modernize, decarbonize, and deliver, this team is demonstrating what it truly means to operationalize AI responsibly, efficiently, and with a clear focus on outcomes. 
- [AI-enabling Solution of the Year (Solution Provider) – Snorkel AI](https://www.dataiq.global/award-winner/ai-enabling-solution-of-the-year-solution-provider-snorkel-ai/): Snorkel has tackled one of the most persistent bottlenecks in AI development: the creation of high-quality labelled data. While the broader industry continues to chase model performance and novel architectures, Snorkel focused on the less visible but critically foundational layer that makes those models work in the real world. Through its flagship product, Snorkel Flow, Snorkel AI has redefined the economics and speed of training data generation, enabling organizations to build domain-specific AI systems faster, more accurately, and with significantly lower overhead. 
- [AI-enabling Solution of the Year (Client Side) – Mars Inc.](https://www.dataiq.global/award-winner/ai-enabling-solution-of-the-year-client-side-mars-inc/): Mars’ V2C (Volume to Customer) platform stands out as a textbook case of what happens when AI is applied as the engine of enterprise transformation rather than just a bolt-on. This is not just another AI pilot or analytics dashboard; V2C is a fully operational, cross-functional decision intelligence platform that has redefined how Sales, Customer Care, and Supply Chain teams work together. 
- [2024 DataIQ Awards – Transformation with Data and AI (Enabler): Jungle Creations](https://www.dataiq.global/award-winner/2024-dataiq-awards-transformation-with-data-and-ai-enabler/): Jungle Creations has been awarded Transformation with Data and AI (Enabler) for its work developing and launching an AI platform that has demonstrated incredible gains and efficiencies.
- [2024 DataIQ Awards – Transformation with Data and AI (Brand): EDF](https://www.dataiq.global/award-winner/2024-dataiq-awards-transformation-with-data-and-ai-brand/): EDF’s transformation with data and AI impressed the judges and serves as a prime example of the benefits and improvements than can be achieved.
- [2024 DataIQ Awards – New Ways of Working with Data: Lebara](https://www.dataiq.global/award-winner/2024-dataiq-awards-new-ways-of-working-with-data/): Lebara has shown that its new approach to centralised reporting has provided stronger commercial decisions, added efficiencies, and improved on-site testing.
- [2024 DataIQ Awards – New Talent or Data Apprentice (Enabler): Danique Hekkema, Data Booster](https://www.dataiq.global/award-winner/2024-dataiq-awards-new-talent-or-data-apprentice-enabler/): Danique Hekkema, Data Literacy Consultant at Data Booster has been selected by the judges as the 2024 New Talent or Data Apprentice (Enabler) for her work promoting data literacy and data-driven decision making.

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