Implementing Agile in Data Science/AI projects
Update: 2025-03-23
Description
How do you effectively implement Agile in data science and AI-driven IT engagements? It's a complex landscape, requiring a unique blend of Agile principles and data science expertise. In this episode, we speak with Balaji T., an IT professional with 24 years of experience, including 15 years in Agile. Balaji specializes in pragmatic Agile, digital and strategic transformation, and organizational change management in IT. He's passionate about executive coaching in IT and Data Science initiatives and currently focuses on the merger of Agile CoE, Enterprise AI CoE, and DevOps CoE. We explore how to bridge the gap between Agile methodologies and data science realities, adapting ceremonies, managing stakeholders, and ensuring real value delivery.
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