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Shubhangi Goyal

Shubhangi Goyal Profile Photo

Senior Analyst

Shubhangi is multi award-winning senior Data & AI professional and Microsoft MVP with a career spanning across Fortune 500 , FTSE 100 to agile startups. With a decade of experience across data analytics, data science, data strategy, and AI, she specializes in leveraging algorithms to extract insights, surface patterns, and decode human language in complex datasets. She currently serves as a senior analyst at a leading FTSE 100 financial services and insurance firm in the UK. Previously, she led high-impact AI and data initiatives at ICS AI Ltd, delivering cutting-edge technology to the UK public sector. She holds a degree in Computer Science Engineering and an MSc in Business Analytics from the University of Bath. An international speaker, Shubhangi has delivered talks in 14 countries across the globe. She leads the London Chapter of Women in Data, championing the next generation of women in tech, and co-founded Builders Foundry, a community-driven platform where practitioners learn from real-world experience. She is also a verified expert and mentor on TopMate.

July 21, 2026

From Data to Intelligent Agents: Building Trusted Enterprise AI with Microsoft AI Foundry with Shubhangi Goyal [MVP]

Enterprise AI is rapidly evolving from simple chatbots to intelligent agents that can automate business processes, reason over enterprise data, and deliver measurable business value. In this episode of M365.fm, Microsoft MVP Shubhangi Goyal joins Mirko Peters to explore how Microsoft AI Foundry helps organizations build secure, scalable, and trustworthy AI solutions that are ready for real-world production—not just impressive demos. The conversation explains why successful AI projects begin with a strong data foundation. Clean, governed, and well-connected enterprise data is essential for creating reliable AI agents that employees and customers can trust. Shubhangi discusses how Microsoft AI Foundry enables organizations to experiment with models, orchestrate intelligent workflows, integrate enterprise knowledge, and manage the full lifecycle of AI applications while maintaining security and compliance. A major focus is the shift from prompt engineering to building complete AI s…