Event Category: Accelerator

Aligning Decentralised Data and AI Capabilities with Enterprise Strategy

Explore how leading organisations are balancing decentralised AI innovation with enterprise governance, architecture and investment.
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Evolving Data Governance for the AI Era in Regulated Industries

Explore how regulated organisations are evolving governance to support AI, balance compliance with agility, and align data, model risk and AI oversight.
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Future-Proofing Your Test-and-Learn Capabilities In B2C

Discover how leading organisations are building test-and-learn capabilities to foster experimentation, improve customer engagement and deliver measurable business outcomes.
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Developing Data and AI Talent in High Maturity Organisations

Exploring the future skills, roles, and capability models needed to thrive in a rapidly evolving AI landscape.
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Making Data Governance and Data Quality a Shared Responsibility in Federated R&D Organisations

Exploring how federated organisations can drive accountability for data quality, align standards across teams, and build trusted data foundations for future AI and business needs.
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Governing Critical Data Elements: Best Practice for Mature Regulated Organisations in the US

How are leading US financial institutions identifying and governing critical data elements while balancing risk, ownership, and operational efficiency?
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Starting a Data and AI Community of Practice

Exploring how organisations are building, scaling and measuring successful data communities of practice to drive engagement, enablement and shared best practice.
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Agentic Series: Technical Infrastructure and Foundational Strategies Enabling Agentic AI.

Explore how organisations are designing technical foundations, platforms, and control layers to safely build, deploy, and scale autonomous AI agents.
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Data modelling to support data product delivery using GenAI

How are advanced organisations evolving data modelling practices to better support scalable, governed data delivery in complex, regulated environments?
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Agentic data quality: how organisations are implementing tools and operating models

How are leading organisations using AI-powered, agentic approaches to transform data quality with human oversight in complex, regulated environments.
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