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Best Data Governance Programme – Financial Services – Talan x NatWest

[…] to evolve alongside customer expectations and regulatory requirements. The programme provides a model for how cross-functional collaboration can deliver better outcomes. Bringing together expertise from marketing, data, technology, legal, risk, and governance enabled the bank to simplify one of its most complex data challenges without losing sight of the customer experience. By treating regulatory […]

Data and AI Partnership of the Year – NatWest Group

NatWest Group has transformed Data Fusion from a pioneering pilot into a permanent national capability, demonstrating how secure data sharing between banks and law enforcement can expose organised crime. In 2025, NatWest’s Data Fusion proved that cross-sector data sharing could reveal criminal activity hidden across the financial system. In 2026, NatWest Group and its partners […]

Data and AI Leader of the Year (SME) – Jean Perez, Valuedynamx

[…] to leading an established global capability, Jean’s progression mirrors the transformation she has driven within Valuedynamx itself. Her achievement demonstrates a distinctive form of data and AI leadership where success is measured by the ability to build capability, earn trust, develop people, and turn strategy into sustainable business change, not by size or technology budget.

Data or AI-Driven Transformation of the Year – UK – EDF

[…] Blueprint for Enterprise AI Sunday Saver represents a change in how EDF approaches AI transformation. Data scientists, engineers, product owners, and business teams worked together to align technology with governance and operational requirements. Models have moved into business-as-usual processes, while GenAI has progressed from experimentation to a governed frontline workflow. The environmental dimension adds […]
29 Sep 2026

Operationalizing Data Retention

[…] ────────────────────────────────────────────────────── As retention obligations grow, how do organisations translate policy into accountable, scalable processes and controls? Join peers to explore how responsibility is shared across data, compliance, technology and the business, and how retention requirements can be embedded into day-to-day operations. Discussion Questions: How can data management , compliance, ICT and business teams divide […]
EU AI Act Delays Offer Financial Services More Time, Not Less Responsibility

EU AI Act Delays Offer Financial Services More Time, Not Less Responsibility

[…] an inventory of AI systems and understand where they fall within the AI Act’s risk classifications. Strengthen governance around model development, validation, monitoring, and documentation. Embed clear accountability across technology, data, risk, and compliance functions. Prepare for evolving technical standards and regulatory guidance as implementation becomes more defined. Ensure AI governance complements existing operational resilience, model risk, and data governance […]
AI governance in insurance – Building trust while accelerating adoption

AI governance in insurance – Building trust while accelerating adoption

[…] widespread employee access to foundation models. Rather than relying on annual policy reviews, organisations are moving towards continuous governance, with regular reviews to ensure controls remain aligned with emerging technology, regulation, and business priorities. Governance is becoming increasingly risk based. Rather than treating every AI initiative equally, organisations are introducing structured triage processes that assess factors such as: Customer-facing […]
AI governance in banking: Scaling oversight without slowing innovation

AI governance in banking: Scaling oversight without slowing innovation

[…] are: Embedding AI-specific questions into existing supplier risk assessments: Legal reviews Information security checks Data governance workflows This allows AI risks to be assessed alongside operational, technology, and compliance risks, reducing duplication while encouraging business teams to remain accountable for the AI solutions introduced. This supports regulatory expectations around resilience and risk management as AI becomes a component of established governance. […]
04 Aug 2026
Expired!

Governing Critical Data Elements: Best Practice for Mature Regulated Organisations in the US

[…] bring together senior data leaders from US financial institutions to share practical approaches to identifying critical data, balancing classification methodologies, and establishing effective ownership between business and technology teams. Discussion Questions: What is the common criteria used across firms to identify critical data (e.g. regulatory impact, customer harm, financial loss, financial reporting, operational dependency)? How do organisation tend to balance risk‑based […]
Paul on stage at Nashville Summit 2026 where decisions, agentic AI, and leadership were discussed

Day 1 Highlights: Decisions, Agentic AI, and Leadership

[…] transformation, Monotype took a more targeted approach – connecting fragmented CRM and enterprise systems through an agentic MDM platform to deliver immediate value. What stood out, aside from the technology, was the sequencing: start narrow, prove impact, and expand from a position of credibility. Key insights: Incremental transformation outperforms grand redesigns. Focused use cases create momentum […]
DataIQ 100 NA 2400x1200

The 2026 DataIQ 100 North America Top Ten revealed in Nashville

[…] Analytics Officer, Colgate-Palmolive Jane Rheem, Chief Data & AI Officer, Sidley Austin LLP Scott Richardson, Chief Data & Analytics Officer, First Citizens Bank Yuri Aguiar, SVP, Chief Technology Officer, Tokio Marine North America Services Mike Vaughan, Chief Data Officer, Brown & Brown Meaghan Ferrigno, Senior Vice President, CFO & CDAO, Destination Canada Wei Manfredi, […]

Sonia Khosla, SVP, Chief Data & AI Officer, Globe Life

[…] 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. Sonia has spent more than […]

Karen Bernhard, Chief Data Officer, Citi

[…] Data Officer. In these roles, Karen advanced data strategy, governance, and analytics capabilities, helping to embed data-driven approaches across the business. At Citi, Karen focuses on leveraging data and technology to enable growth, improve efficiency, and enhance risk management. She is recognized for her ability to build alignment across functional boundaries, creating a shared understanding of data and […]

Emily Lyons, Chief Enterprise Data & Data Science Officer, Liberty Mutual Insurance

[…] science and digital analytics teams focused on improving claims outcomes. Emily went on to lead Claims Operational Solutions, overseeing functions such as data science, workforce management, claims technology, and innovation. This role expanded her experience in operational leadership and cross-functional execution. From 2018 to 2023, Emily served as Chief Data Officer for Global Retail […]

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 […]

Van Lin, Sr Director, Strategic Alignment Office, Freddie Mac

[…] 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. Van’s professional journey at Freddie Mac has progressed through a wide range of roles from programmer analyst to senior […]