Fixing London market data foundations to transform business performance
Driving efficiency, reducing cost and improving client outcomes by fixing the data that powers AI
Bob Bob Ricard, Leadenhall
Free to attend | Only 15 places
Overview
Across the London market, AI has moved from experimentation to expectation. Yet many organisations are finding that progress is slower than anticipated, with initiatives stalling before they can deliver meaningful business value.
The issue is rarely the AI itself. It is the underlying data.
While most firms recognise the importance of data quality, governance and architecture, the challenge now is turning that understanding into execution. Fragmented data estates, limited data context and unclear ownership continue to undermine trust in AI outputs and slow down adoption at scale.
This breakfast briefing will move beyond the theory of data foundations to focus on how leading organisations are addressing these challenges in practice.
Topics to be discussed include:
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Why AI initiatives stall in real-world environments and what typically breaks first
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The shift from raw data to structured intelligence, including semantics, lineage and context
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How to build trust in AI through data quality, governance and regulatory defensibility
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What a practical path forward looks like, from current state to scalable, enterprise AI
The session will also introduce emerging concepts such as context models and augmented AI “team structures”, where human expertise and AI agents work together to deliver outcomes, and what this means for operating models, delivery and skills.
Speakers
- Takes place in the private dining rooms at Bob Bob Ricard, Leadenhall
- Only 15 industry practitioner places are available
- Hear the case study then participate in the Q&A
AGENDA
08:00 Registration, tea and coffee
08:15 Breakfast of your choice in the private dinning room at Bob Bob Ricard
08:40 Introduction by the chair
08:50 Presentations
Overcoming the data and operational challenges to enable AI decision making in the London market
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Approaching London market data challenges that have been intractable in the past
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What capabilities and skills are needed to move from isolated agent use cases to interoperable, decision-ready AI at scale?
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How to maintain control, explainability and regulatory confidence as autonomous agents interact across organisational boundaries
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How to enable interoperability while protecting core data assets and preserving competitive advantage
09.05 Roundtable discussion & feedback
10:00 Close
Sponsored by
iCube360 is a strategic data and AI advisory firm focused on building AI-ready enterprises. We help organizations modernize data platforms, strengthen governance, and activate trusted data for advanced analytics, machine learning, and Generative AI. Our work bridges strategy and execution—ensuring data investments translate into measurable business outcomes.
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