In this episode of the Data & AI Podcast, hosts Steve Bryen, CTO at Mesh-AI, and Eric Papaluca, Principal Consultant at Mesh-AI, are joined by Adrian Hornsby, CEO and founder of Resilium Labs, focused at helping customers improve system resilience. Together, they explore what it really takes to build resilient systems and cultures that can adapt, recover, and thrive in the face of disruption.

From the hard lesson of accidentally deleting a production database, to leading Chaos Engineering at Amazon, Adrian shares decades of experience turning incidents into learning opportunities. He explains why resilience isn’t something you buy, it’s something you build, and why cultural foundations are just as critical as technical tools in achieving operational excellence.

This episode dives deep into:

• Chaos vs. resilience engineering - and why the distinction matters
• How game days, postmortems, and psychological safety drive true learning
• The prevention paradox: why good resilience often looks like “nothing happening”
• How AI creates both new opportunities and new risks in incident response
• Why building resilience means transferring knowledge, not just deploying tools

Whether you’re scaling distributed systems, leading incident response, or building a culture of reliability, this is a must-listen for anyone serious about resilience in the age of AI.

“Good resilience is invisible — its output is non-events.” – Adrian Hornsby

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In this episode of the Data & AI Podcast, host Steve Barrett is joined by Amit Nandi, Solution and Data Architect at Barclays Corporate & Investment Bank.

Amit shares how Barclays migrated its data estate to AWS, built a data mesh to empower quants, and tackled the security and compliance challenges of AI in banking. He also explores the shift from MLOps to AgentOps, the importance of domain expertise, and how to drive real adoption of AI in complex, regulated industries.

Whether you’re modernising data platforms or preparing for the next wave of AI, this is a candid look at the future of operationalising AI in financial services.

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In this episode of the Data & AI Podcast, host Josh Walker is joined by two heavyweights of enterprise data: Peter Jackson, Interim Global Head of Data at Schroders, and Jez Davies, Global Head of Data Products at Northern Trust. Together, they unpack the cultural, structural, and strategic barriers to becoming truly data-driven in Financial Services, and what it really takes to overcome them. From data silos and sceptical execs, to failed initiatives and abandoned data villages, this episode explores why data transformation is less about tools and more about mindset. You’ll hear hard-won lessons on introducing product thinking into data, reshaping organisational behaviour's, and why "data governance by stealth" might be the future...

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