Data & AI Podcast from Indicium AI

Enterprise AI initiatives frequently stall between pilot and production, even when the underlying models perform well. Kareem Al-Hakeem traces that pattern back to two recurring failures: investing in the wrong use cases without validating return early, and underestimating the governance and security overhead that real operational data demands. The episode covers how enterprises can qualify use cases faster, where workforce enablement delivers underrated returns, and what getting AI out of the pilot phase actually requires organizationally.

In celebration of International Women's Day, we brought together a group of women from across Indicium AI — from data scientists and AI advisors to people experience managers and partnership leads — to talk honestly about their journeys in technology.

In this episode of the Data & AI Podcast, host Alex Juarez, Director of Engineering at Mesh-AI, is joined by Elliot Budd (Lead AI Engineer), Millie Wan Marriott (Data Engineer), and Maartens Lourens (Principal AI Engineer) for a deep dive into the rapidly evolving world of AI-assisted coding.The team explores how AI coding tools have transformed from basic autocomplete suggestions to sophisticated development partners - and what that means for the future of software engineering. From the early days of GitHub Copilot to today's agentic coding systems, they discuss the trust, limitations, and best practices that are shaping how developers work alongside AI.This episode covers:The evolution from autocomplete to agentic coding systemsWhy trust is the critical factor in adopting AI coding toolsThe gap between "vibe coding" and proper engineering practicesCurrent limitations: context management, hallucinations, and when AI changes the wrong codeEmerging best practices and the concept of "guardrail engineering"What junior developers need to learn in an AI-assisted worldThe future of verification, testing, and developer satisfactionWhether you're sceptical about AI coding tools or already using them daily, this conversation offers honest insights into what works, what doesn't, and where the industry is headed."Developer satisfaction is at an all-time high with these tools. If five years ago it took you a week to build an API, and now you can do it in an hour - that's really satisfying."

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 mattersHow game days, postmortems, and psychological safety drive true learningThe prevention paradox: why good resilience often looks like “nothing happening”How AI creates both new opportunities and new risks in incident responseWhy building resilience means transferring knowledge, not just deploying toolsWhether 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

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. 

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...

80% of AI initiatives fail – stuck in pilots, misaligned with business strategy, or unable to scale. With AI investment soaring, the cost of inaction is rising.In this episode, Jacob Parsons (CEO, Mesh-AI) and Phil Le-Brun (Director, Enterprise Strategy, AWS) share practical advice for business leaders on why AI transformations fail – and how to avoid common pitfalls, and how to align business and technology for long-term success.

AI is only as good as the data behind it. Without a clear understanding of their data, businesses risk missing opportunities, making poor decisions, and struggling to scale AI effectively. Data analytics provides the insights needed to unlock value, solve critical challenges, and build the foundation for innovation.In our latest podcast, Data Analytics Explained: Turning Raw Data into Impact, we break down what effective analytics looks like in the real world – and how organisations can set themselves up for success.  Join Mesh-AI’s Data Analytics Lead Mike Swordy and former Stuart and Ocado data analytics expert Lydia Monnington as they discuss:  How organisations are proving the value of data analytics  Why analytics must come before AI adoption  How to overcome resistance and drive business-wide impact  The rise of automation and its impact on data teams  Listen now to discover how data analytics can help you make better decisions, faster