In this episode of the Data & AI Podcast, host Steve Barrett, Managing Director of AI in Financial Services at Mesh, is joined by Amit Nandi, Solution and Data Architect at Barclays Corporate & Investment Bank. Together, they explore what it really takes to operationalise AI in one of the world’s most complex and regulated industries.From orchestrating Barclays’ large-scale migration to AWS, to embedding data mesh strategies that empower quants across global markets, Amit shares hard-earned lessons on transforming legacy estates into future-ready platforms. Along the way, he reflects on his work in pharmaceuticals and R&D, drawing parallels between stringent regulatory frameworks and the compliance challenges of banking.This episode dives deep into:

• Why the shift from MLOps to AgentOps is critical for scaling AI
• How to balance innovation, security, and governance in financial services
• The importance of domain expertise in validating and adopting AI models
• What it takes to drive adoption across business and technical teams

Whether you’re modernising data foundations, experimenting with agent-based architectures, or grappling with adoption challenges in regulated industries, this is a must-listen for anyone serious about bringing AI into production.

‍“Domain expertise is becoming the ultimate differentiator. Without it, data remains data, not intelligence.” – Amit Nandi, Barclays

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About Our Guests

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Amit Nandi is a dynamic Solutions Architect with deep expertise in building and scaling ML/AI platforms for global financial institutions. Currently at Barclays Corporate & Investment Bank, he leads strategic initiatives spanning data platform migrations, MLOps, and data mesh.

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With a career that has spanned financial services, pharmaceuticals, manufacturing, and retail, Amit has designed and delivered secure, compliant, and high-performing data and AI ecosystems that empower hundreds of data scientists worldwide. His technical toolkit covers everything from big data engineering and real-time streaming to LLMs, agent-based architectures, and cloud-native AI services.

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Passionate about bridging the gap between business, data science, and engineering, Amit specialises in operationalising AI in highly regulated industries, driving innovation while ensuring governance, scalability, and trust.

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About The Podcast

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The Data & AI Podcast explores the developments, insights and trends in data science and AI/ML. Our hosts will delve into the latest news and discuss the challenges on how enterprises are reimagining how they use data and AI to benefit their customers. 

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Interested in speaking on the show? Get in touch with us at podcasts@mesh-ai.com 

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