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HotTopics Studio: Abbey Road Studios
HotTopics Studio: Abbey Road - CMO
Data to AI value
In partnership with
You can't scale agentic AI without data trust.
Welcome to our new community hub, brought to you by HotTopics in partnership with Informatica.
From pilot to production: Making AI work
Your AI outcomes are only as strong as your data foundation. Agentic AI promises incredible autonomy, but it quickly creates chaos without a solid data architecture.
The numbers back this up: roughly eight in ten data teams are currently struggling with orchestration, complexity, and scale. Because of poor data readiness, over 40% of AI initiatives stall out before they ever deliver value.
This hub is designed to help you bypass the fluff, clear the hurdles, and deliver confident decisions with real-world results. We are focusing heavily on how to manage the entire data lifecycle to fuel responsible, robust AI that successfully moves from pilot to production.
Key themes and topics:
- Scaling data trust: Unpacking the reality that enterprises simply cannot scale agentic AI without first scaling data trust.
- Pilot to production: Navigating the technical and strategic shifts required to safely transition your AI initiatives into the wild.
- Operationalisation and leadership: Practical steps to advance your organisation past basic experimentation and into true market leadership.
The 2026 execution gap: Why enterprise AI isn’t scaling—yet
Virtual
17 Jun 2026
HotTopics Studio Sardinia
Forte Village, Sardinia
23 Jun 2026
Infrastructure—not innovation—is the largest barrier to AI at scale
London
8 Jul 2026
Simplifying your Collaboration Stack in the AI Era
Virtual
9 Jul 2026
The Orchestrators: Building transformation as a capability
London
29 Jul 2026
HotTopics Studio Nashville
Country Music Hall of Fame, Nashville
26 Oct 2026
HotTopics Studio Amsterdam
Johan Cruijff Arena, Amsterdam
19 Nov 2026
HotTopics Studio Abbey Road Studios
Abbey Road Studios, London
28 Apr 2027
FEATURED CONTENT
CDO Insights 2026
AI has transitioned from experimental technology to a strategic, transformational imperative.
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AI-powered data management
Surging data volumes are overwhelming traditional manual governance models. Transitioning to AI agents establishes "controlled autonomy," where automated virtual workers continuously monitor, classify, and remediate data within human-defined boundaries. This augments data stewards to focus on strategic outcomes while highlighting critical needs for system auditability and explainability.
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Building the semantic data layer for agentic AI
Agentic AI requires semantically explicit, machine-interpretable data to reason and act responsibly. Building a unified semantic layer provides critical business context, drastically boosting model accuracy while eliminating contextual blindness. Open frameworks like the Model Context Protocol (MCP) operationalise this metadata, translating rich organisational context directly for autonomous systems.
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Join the community
To join the HotTopics Community and gain access to our exclusive content, events and networking opportunities simply fill in the form below.