Event Category: Accelerator

Defining Cashable Value for Data and AI Initiatives

Explore how organisations can establish credible baselines, convert productivity gains into cashable value and demonstrate that financial outcomes justify ongoing investment.
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Turning Data Ambition into an Actionable Strategy

How are data leaders prioritising what matters most and building realistic roadmaps for delivery?
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Enabling AI Agents to Find and Use the Right Context

How are organisations creating the data foundations that help AI agents access, understand and use information effectively?
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Defining and Reporting Data Risk in Banking

As regulatory expectations increase, how do banks define, measure and communicate data risk in a way that drives ownership and action?
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Operationalizing Data Retention

As data volumes continue to grow, how do organisations apply data retention consistently across systems and functions
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Defining the Scope for Governing Data Within Data Products

As organisations scale data products, how do they apply governance proportionately without creating unnecessary overhead?
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Building the Processes to Govern Unstructured Data at Scale

Explore the business processes, governance foundations and practical approaches organisations are using to manage unstructured data securely and at scale.
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Modernising Regulatory Data Production for the AI Era

Discover how cloud, data products and AI are reshaping regulatory data production and what the next era of trusted, intelligent reporting could look like.
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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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