Headline Partner
At the 13th annual DataIQ Congress, you will have the opportunity to:
The event starts at 8:00am with registration and breakfast. Take this opportunity to connect with senior data and AI leaders, setting the stage for a day of insightful discussions and networking.
Every day we hear of advances in AI, with new systems — from ChatGPT to DALL-E — taking on activities that, until recently, we thought only human beings alone could ever do: writing effective code and drafting compelling documents, designing beautiful buildings, and diagnosing medical illnesses. What does all this progress mean for the future of work? It is one of the greatest questions of our time. And in this optimistic and pragmatic talk, Daniel Susskind explores what lies ahead, drawing on his books, ‘The Future of the Professions’, ‘A World Without Work’, and ‘What Should My Children Do?’
While organisations race to deploy AI, many underestimate the importance of the infrastructure, governance and resilience that underpin successful outcomes. As data estates become increasingly complex, leaders must balance innovation with risk, security and operational continuity. This session examines how forward-thinking organisations are strengthening their data foundations to support AI at scale, improve organisational agility and reduce exposure to emerging risks. Discover the strategic approaches that are helping enterprises build data ecosystems that are resilient, trusted and ready for the next wave of AI-driven transformation.
Headline Partner
Since being recognised in the DataIQ 100 Europe earlier this year, AI and data leaders have continued to navigate one of the fastest-moving periods in the profession’s history. New technologies, evolving board expectations, economic pressures and growing demands for measurable value have reshaped priorities across every sector.
In this candid discussion, members of the DataIQ 100 reflect on the realities of 2026: what surprised them, what delivered impact, and what proved more difficult than expected. Looking ahead, they will share the strategic priorities, challenges and opportunities that will define their agenda for 2027.
From leadership and operating models to AI adoption and organisational transformation, this session provides a unique view into the thinking of some of the UK’s most influential data and AI leaders.
As organisations accelerate AI adoption, many are discovering that model performance is only one piece of the puzzle. The real challenge lies in creating trusted, repeatable pathways from raw data to business action. This session explores how leading organisations are closing the gap between analytics and execution by modernising data preparation, democratising access to insights, and embedding governance into decision-making processes. Attendees will learn how data leaders are building scalable foundations that enable both human and AI-driven decision intelligence while maintaining trust, transparency and control.
Diamond Partner
The Human Advantage: Building Data and AI Literacy for the Age of Intelligent Enterprise
Most enterprises own the AI tools, they’ve bought the licenses and set the target for “more AI”. Far fewer have people who know when to trust the output, when to challenge it, and how to turn it into a decision. That gap is where AI budgets leak: pilots that never scale, governance that exists only on paper, and adoption that flatlines a few months after launch.
We’re going to show you how leading organisations are closing that gap by building data and AI literacy into the way their teams already work, from the boardroom to the front line. We’ll cover what that looks like in practice, how it speeds up adoption and reduces risk, and which signals tell executives the capability is taking hold and the investment is paying back.
From Principles to Practice: Building Trustworthy AI That Delivers Business Value
As organisations move from AI experimentation to enterprise-wide adoption, trust is critical to unlocking sustainable business value. As AI continue to evolve towards increasingly autonomous AI agents, the challenge lies in translating technological potential into trusted, real-world outcomes. Building trust requires practical safeguards, measurable outcomes and clear accountability across the AI value chain. This session will explore how organisations can embed fairness, transparency, safety and explainability into governance, continuous monitoring and evidence-based assurance. The discussion will also consider how risk, autonomy and meaningful human oversight can help businesses strengthen confidence, transform operating models and scale AI responsibly to deliver measurable value without stifling innovation.
Stop Eating Your Vegetables: A Perspective On AI For People Who Make Decisions For A Living
Most organisations have been offered two answers to their data problem: spend three years cleaning everything first or point AI at the mess and hope. Both are theatre. This session makes the case for a third route: treat data quality as a property of each decision, not of your data estate. Leave with a practical way to score your own decisions and a clear view of where to start on Monday.
From AI Investment to Business Impact
As scrutiny of AI spending increases, organisations must prove that innovation is translating into tangible results. This session examines how leaders are measuring value, prioritising initiatives and creating the accountability needed to turn AI investment into sustained business impact.
Silver Partner
AI Economics: Your Agents Have A Spending Problem
AI is getting cheaper, but your AI bill isn’t. Join us to learn how leading organisations are engineering AI economics, or “tokenomics”. We’ll go under the hood on agent design, context management, model routing, caching and open-weight models, and show how these decisions can reduce costs by orders of magnitude while improving performance
From AI Leader to Enterprise Leader
As AI becomes business-critical, the role of the data and AI leader is undergoing a fundamental shift. No longer focused solely on technology and analytics, today’s leaders are increasingly responsible for driving organisational transformation, influencing board-level decisions and delivering measurable business outcomes. This session explores how the most effective executives are expanding their influence, building enterprise-wide alignment and evolving from technical specialists into strategic business leaders capable of leading AI transformation at scale.
As AI reshapes how digital platforms operate and create value, organisations must determine where to invest, how to build the right capabilities and how to translate ambition into meaningful outcomes.
In this fireside conversation, Rightmove’s CEO and CDO will share the strategic rationale behind the company’s data and AI journey and how that ambition is being translated into teams, capabilities and products. They will explore the relationship between CEO and CDO, the realities of making the case for long-term investment, and what it takes to turn a significant data asset into value for customers, consumers and the wider business.
The discussion will also consider how expectations around AI have evolved and the practical lessons other business and data leaders can take from Rightmove’s journey.
AI is rewriting the advertising funnel and how consumers discover, compare, and buy. Personalisation is now the baseline expectation at every touchpoint and generative interfaces are absorbing moments that used to belong to search, sites, and stores, which raises the question of what role is left for the advertiser and how any of it gets measured.
In this session, Travis Clinger, Chief Connectivity & Ecosystem Officer and GM International at LiveRamp, will show how AI opens up a bigger opportunity for marketers than the funnel it’s replacing: richer discovery through AI search, smarter optimisation through AI partners, and frictionless purchase inside AI interfaces. He’ll cover how data collaboration closes the identity and measurement gaps these new journeys create – turning them into a feedback loop that optimises outcomes campaign after campaign – and how the wider AI partner ecosystem, spanning creative, commerce, agentic, and measurement, is becoming a core layer of the ad tech stack.
Diamond Partner
Each roundtable will focus on an expertly curated scenario designed to address a challenge facing date leaders. Choose two tables based on the scenarios which most resonate with you. There will be two rotations, and each discussion will last 40 minutes.
Can your data estate survive the AI era?
Headline Partner
What’s stopping your organisation from becoming AI-ready?
Diamond Partner
AI economics: Your agents have a spending problem
Are we scaling AI or just scaling pilots?
What does an AI-literate organisation look like?
How can organisations move beyond compliance to enable safe and scalable AI adoption?
How data product sharing drives tangible business value and accelerates AI initiatives?
Beyond human-in-the-loop: What does effective human governance of AI Look Like?
What is required of data and AI leaders who are being moved closer to the commercial core?
Is AI a blackhole or a wormhole?
How should organisations evolve their data foundations to scale agentic AI?
Bronze Partner
Big bets, small wins: How do you measure the real value of AI?
Are data leaders being held accountable for things they don’t control?
How are you measuring AI business impact?
From AI potential to business value: How can Agentic AI drive intelligent operations at scale?
How should organisations evolve their data foundations to scale agentic AI?
Each roundtable will focus on an expertly curated scenario designed to address a challenge facing date leaders. Choose two tables based on the scenarios which most resonate with you. There will be two rotations, and each discussion will last 40 minutes.
Can your data estate survive the AI era?
Headline Partner
What’s stopping your organisation from becoming AI-ready?
Diamond Partner
AI economics: Your agents have a spending problem
Are we scaling AI or just scaling pilots?
What does an AI-literate organisation look like?
How can organisations move beyond compliance to enable safe and scalable AI adoption?
How data product sharing drives tangible business value and accelerates AI initiatives?
Beyond human-in-the-loop: What does effective human governance of AI Look Like?
What is required of data and AI leaders who are being moved closer to the commercial core?
Is AI a blackhole or a wormhole?
How should organisations evolve their data foundations to scale agentic AI?
Big bets, small wins: How do you measure the real value of AI?
Are data leaders being held accountable for things they don’t control?
How are you measuring AI business impact?
From AI potential to business value: How can Agentic AI drive intelligent operations at scale?
For the first time in history, organisations are learning to manage human and AI agents side-by-side. As AI becomes embedded within workflows, products and decision-making processes, traditional operating models are being fundamentally challenged.
This executive-level discussion brings together C-suite leaders to explore how organisations are adapting to this new reality. How should accountability be shared when decisions are increasingly AI-assisted? What new leadership capabilities are required? How will workforce structures, governance frameworks and organisational culture evolve as intelligent systems become part of everyday operations?
Moving beyond technology alone, this session examines what it will take to build organisations that can successfully combine human judgement, machine intelligence and business accountability at scale.
As organisations move beyond experimentation and into operational reality, boards are demanding more than AI ambition, they want measurable value, clear accountability, and systems they can trust under pressure. This keynote explores why the era of “AI theatre” is ending, what enterprise leaders must now prove to stakeholders, and how organisations can scale AI responsibly while balancing governance, execution discipline, organisational readiness, and commercial impact entering 2027.
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