The Rise of Decision Intelligence: How Data and AI Leaders are Rewiring the Enterprise

The Rise of Decision Intelligence DataIQ Report Page 01

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 […]

What’s Next for the Role of the CDO

What's 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.

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

The End of AI Theatrics Cover

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 […]

Building a Business Case for AI

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

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

Close up of Mara Pometti, Mastercard on stage at World Congress 2025 talking about improving AI 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.

DataIQ World Congress Day 2 Highlights: Action Trumps Ambition

DataIQ Worldcongress 5thNov 2025 Highlights5

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 […]

10 Tips to Successfully Migrate to Microsoft Fabric

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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

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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.