Headline Partner
We’re putting the finishing touches to the 2026 DataIQ Congress agenda. Explore the themes below and check back soon for full session details and speaker announcements.
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.
As AI becomes central to business strategy, expectations of data and AI leaders are rapidly evolving. This keynote examines the growing demands for accountability, commercial impact and enterprise-wide influence, and explores what it takes to lead AI transformation in an environment where success is measured by outcomes, not innovation alone.
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
Technology alone will not determine the success of AI initiatives. Organisations that realise lasting value are those that empower people to understand, challenge and confidently use data and AI in their day-to-day decision making. This session explores how leading enterprises are embedding data and AI literacy across their workforce, creating cultures of informed decision-making and responsible innovation. Learn how executives are moving beyond training programmes to build organisation-wide capability that accelerates adoption, strengthens governance and unlocks greater business impact from data and AI investments.
Gold Partner
Build, Buy or Partner? The Strategic Choices Defining Enterprise AI in 2027
As AI becomes embedded across the enterprise, leaders face increasingly complex decisions about where to build proprietary capabilities, where to buy proven solutions, and where strategic partnerships can accelerate value. This panel explores how organisations are navigating an evolving ecosystem of models, platforms and vendors while balancing innovation, governance, flexibility and long-term competitive advantage. Discover the frameworks leading organisations are using to make AI investment decisions that will stand the test of time.
Governing Autonomous AI Systems at Scale
As organisations deploy increasingly autonomous AI systems and agents, traditional governance frameworks are being put to the test. This session explores how leaders are evolving oversight, accountability and risk management to ensure intelligent systems operate safely, transparently and in alignment with business objectives. Discover the approaches organisations are taking to balance innovation with control as AI becomes embedded in critical decision-making and operational workflows.
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.
Managing the Multi-Model Enterprise
As organisations adopt multiple AI models, copilots, agents and platforms, managing complexity is becoming a big leadership challenge. This session explores how organisations are establishing governance, operating models and architectural principles that enable innovation without creating fragmentation. Learn how leaders are balancing standardisation and flexibility while building AI environments that remain secure, scalable and manageable as adoption accelerates.
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 becomes embedded across every part of the enterprise, technical expertise alone is no longer enough. The most effective leaders are developing new capabilities in influence, communication, change leadership, commercial thinking and organisational transformation. This session explores the human skills that will define the next generation of data and AI leaders, and why their ability to align people, strategy and technology will determine the success of AI in the years ahead.
As AI becomes a board-level priority, many data and AI leaders are being held accountable for outcomes that depend on functions far beyond their direct control. This session explores how leading executives are navigating the tension between responsibility and influence, securing executive alignment, driving organisational adoption, and ensuring governance, investment and operating models support successful AI transformation at scale.
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.
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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