EVENTS

DataIQ Congress

3 November 2026
Together Venue, London

Leading Enterprise AI: The Mandate to Scale

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

From Capability to Mandate
AI is no longer about building tools or proving value through pilots, it is about stepping into enterprise-wide leadership accountability.

Commercial Ownership of AI
Moving beyond activity metrics to measurable commercial outcomes, investment discipline, and CFO-level scrutiny.

Designing Operating Models for Scale
Clarifying central vs federated accountability, decision rights, and domain ownership to prevent structural ambiguity.

Governance as Infrastructure
Embedding AI governance, regulatory readiness, and systemic assurance without slowing innovation.

Scaling Beyond Pilot Fatigue
Overcoming stalled experimentation and driving disciplined, confident expansion across the enterprise.

Authority, Mandate & Board Alignment
Ensuring AI leaders have the structural authority to match their accountability.

Adoption as Behavioural Change
Moving from use case deployment to sustained integration into decision workflows and operational behaviour.

Investment & Capital Allocation for AI
Designing funding models that support distributed impact while maintaining financial clarity.

Trust, Risk & Regulatory Scrutiny
Building assurance models that support growth while meeting rising regulatory expectations.

The Evolving Role of the CDO & AI Leader
From steward of data to institutional architect. Shaping value, structure, governance and enterprise direction.

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