Achieving AI ready data

Modernising data foundations to enable enterprise AI adoption

155 Bishopsgate, London

Free to attend    |    Only 15 places

Pre-conference breakfast briefing

Insurers and brokers are rapidly exploring how AI can improve operational efficiency, accelerate decision-making, enhance analytics and enable more intelligent operating models. However, many are discovering that legacy platforms, fragmented data environments and inconsistent governance are becoming major barriers to scaling AI successfully.

The challenge is no longer simply adopting AI. It is creating the trusted, connected and accessible data foundations needed to support it.

Attend this breakfast briefing to discuss what “AI-ready data” really means in practice, why modernising data ecosystems is proving so difficult, and how organisations are approaching the challenge.

Discussion themes include:

  • Why legacy data environments and technical debt are limiting AI adoption
  • What trusted, governed and AI-ready data foundations look like in practice

  • How organisations are modernising data ecosystems to support AI at scale

  • The role of conversational analytics and intuitive access to enterprise data

  • How firms can accelerate transformation while reducing risk and complexity

 Speaker

ST
Saki Thethy
Head of Data & Analytics
Munich Re

 

  • Takes place at 155 Bishopsgate, prior to TINtech Data Jam
  • Only 15 industry practitioner places are available
  • Hear the case study then participate in the Q&A

    

AGENDA
07:45 Registration, breakfast of your choice and introduction by the chair
08:00 Presentation

Overcoming legacy data platform challenges, fragmented architectures and poor data quality to enable successful AI initiatives

  • What does "AI-ready data" actually look like in practice, and how far away are most organisations from achieving it?

  •  

    Modernising data foundations without creating additional complexity, risk and cost?

  •  

    What role will agentic AI and conversational analytics play in changing how business users interact with data and insights?

  •  

    How do data leaders balance governance, trust and control with the need to accelerate AI innovation and business value?

ST
Saki Thethy
Head of Data & Analytics
Munich Re

08.15 Roundtable discussion & feedback

09:00 Close

Sponsored by

Venue

155 Bishopsgate, London Liverpool Street London EC2M 3YD

Useful Info

Closest train station: Liverpool St

Bus: 155 Bishopsgate is served by many bus routes including 388, 242, 149, 135, 78, 48, 47, 42, 35, 26 and 8.