In this episode of Data Analytics Chat, host Ben welcomes Matthew Paruthickal, Global Head of Data and AI Architecture Engineering at Sanofi, to discuss the evolution of data technology from single-box systems to agent AI. They explore Matthew's career journey, the importance of solving business problems with technology, and the significant moments that shaped his approach to data. Topics include the layered data stack, overcoming technical and organisational challenges, the role of trust and speed in data, and how businesses can leverage AI for better decision-making. 00:00 The Evolution of Data and AI00:48 Introduction to the Podcast and Guest01:48 Matthew's Career Journey02:17 Technological Shifts in Data Management03:46 The Importance of Trust and Speed in Data07:40 Defining Moments and Career Setbacks09:46 Mentorship and Business Value16:51 Building a Layered Data Stack19:09 Understanding the Layered Data Stack20:12 Challenges in Executing a Layered Data Stack21:14 Top-Down and Bottom-Up Approach22:07 The Importance of Business Focus23:53 Aligning Data Stack with Strategic Decision Making26:30 E-commerce Data Challenges and Solutions29:14 Common Difficulties in Data Tool Investments31:17 Evaluating New Data Tools35:27 Balancing Automation with Real-Time Insights37:12 Conclusion and Final ThoughtsThank you for listening!

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