EVENTS

DataIQ Congress

3 November 2026
Together Venue, London

Headline Partner

Quest

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

Explore the core themes shaping the 2026 DataIQ Congress, designed to guide leaders through the challenges of scaling AI across the enterprise.

At the 13th annual DataIQ Congress, you will have the opportunity to:

  • Hear from dynamic brand-side keynote speakers from leading organisations
  • Gain practical insights from senior CDOs and CAIOs solving real-world challenges
  • Take part in interactive roundtables to exchange knowledge with your peers
  • Leave with actionable strategies to drive real organisational impact

Key Themes

Enterprise AI Leadership, Accountability & Board Alignment

As AI becomes business-critical, leaders are increasingly accountable for outcomes, risk and organisational adoption. Success depends on securing executive alignment, building influence across the enterprise and ensuring authority matches responsibility. 

Building an AI-Ready Organisation

The greatest barrier to AI success is no longer technology but organisational readiness. Leading organisations are developing AI literacy, redesigning workflows, reshaping operating models and fostering cultures that can adapt to continuous change. 

Delivering Measurable Business Value from AI

Boards and investors are demanding evidence of impact. Organisations must move beyond experimentation and focus on value realisation, operational discipline and the metrics that demonstrate AI’s contribution to business performance. 

Navigating the Modern AI Ecosystem

As organisations adopt increasingly complex, multi-model environments, leaders must make informed decisions about vendors, platforms, architectures and partnerships. Success depends on balancing flexibility, governance and long-term strategic fit. 

The Future Operating Model: Humans, AI & Intelligent Decision-Making

The next phase of transformation will see organisations managing human and AI agents together within operational workflows. Leaders must rethink decision-making, accountability, workforce structures and governance as intelligence becomes embedded throughout the enterprise. 

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