On Demand Webinar: AI-Driven Data-Sharing in Government

Supported by:

snowflake

Open data and information-sharing in government offer huge potential for unlocking deeper insights and developing new services for citizens. While Artificial Intelligence and Machine Learning are driving unprecedented opportunities for innovation, they also present new challenges around privacy, transparency and accountability.

This online discussion explored how public sector agencies are working through technical, cultural and ethical issues around AI to drive value from their shared data.

  • How AI and ML are being used to support inter-agency data sharing - and what’s coming next
  • Building data infrastructure and capacity
  • How to implement data governance frameworks
  • Promoting open data standards and interoperable formats

Fill in the form to access interactive the Q&A sessions to help you develop your own strategies around AI-enabled data sharing and open data initiatives.

This webinar is part of a 3-episode series designed to build upon each other, offering a comprehensive roadmap for overcoming common challenges in the public sector, from data-sharing barriers to digital maturity. Together, they provide a holistic approach to successfully navigating the journey toward a digital-first, data-driven future.

WATCH PART 2: Lessons from Digital Transformation

WATCH PART 3: Unlocking Public Data

Meet the Panellists

jennifer brooker sq

Jennifer Brooker

Chief Data Architect, CDDO

charles baird

Charles Baird

Chief Data Architect,
Office for National Statistics

Leanne Cummings

Leanne Cummings

Deputy Director,
GOV.UK

AI-Driven Data-sharing panellist

Andrew Newland

Director Central Government, Snowflake