Delivering AI at Scale

Government Data & AI Summit - Discussion Table

Discussion Table Synopsis

As public sector organisations strive to harness the potential of AI, they face the challenge of managing and leveraging vast amounts of data in a secure and responsible way. Achieving AI at scale requires a strategic and comprehensive approach to data governance, technology and talent. We will explore the critical considerations and best practices for building a robust data foundation that fuels AI-powered innovation.

  • Establishing a strong data governance framework is crucial for ensuring data integrity, privacy, and compliance. How can public sector organisations effectively manage data quality, address ethical concerns, and maintain trust in AI systems?
  • What are the key considerations for leveraging cloud technologies and addressing challenges such as data silos, interoperability, and security?
  • How can public sector organisations attract and retain AI talent, while also providing upskilling opportunities for existing employees to embrace AI-driven transformation?

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Your Hosts

Richard-Patterson

Richard Patterson, Chief Data and Ai Officer, US Department of State

Chris Darriet-Jones

Chris Darriet-Jones, Chief Data Architect, Post Office

Andy Lawson

Andy Lawson, Head of Welfare, Economy & Justice at Amazon Web Services (AWS) UK Public Sector

Ana Chevasco

Ana Chevasco, Senior Solutions Architect, Amazon Web Services (AWS) UK Public Sector

 

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