Insight - DataIQ

The End of AI Theatrics: Accountability, Governance, and Value in 2026

The top leaders listed in the 2026 edition of the DataIQ 100 Europe provide actionable insights and lessons for those currently at the vanguard of data and AI excellence. The leaders shaping 2026 are translators and operators. Data and AI leadership is continuing to evolve and now enters a more exposed phase where new remits […]

Communication Tactics that Win Executive Buy-In and Unlock AI Progress

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

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

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

Data product adoption across mature organisations continues to be a bottleneck, despite strong investment. DataIQ clients came together to examine their successes.

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

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.

Designing AI for Adoption: From Pilots to Products

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

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.

DataIQ World Congress Day 2 Highlights: Action Trumps Ambition

The CEO’s Lens: Unlocking Business Transformation Through the Chief Data Officer Speaker: Matt Prebble, Accenture United Kingdom, Ireland & Africa The morning opened with a CEO’s perspective on data leadership as an engine of agency, challenging delegates to see the CDO as the CEO’s execution multiplier: a role that converts insight into organisational intent. Key […]

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.

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

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

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?