Sanjeev Mohan - #TrueDataOps Podcast Ep. 48

Host Kent Graziano interviews former Research VP, Data & Analytics for Gartner Sanjeev Mohan to explore the evolving landscape of data operations (DataOps) and its critical role in modern business. Mohan defines DataOps as the methodology for automating and optimizing data management to efficiently deliver high-quality data products. The conversation highlights how Generative AI acts as a force multiplier for developers, shifting their roles from manual coders to strategic team leads who oversee automated assistants. They also discuss the importance of balancing agility, governance, and control within complex ecosystems like data lakehouses. Mohan emphasizes that while AI tools are becoming more integrated, a robust data foundation remains an organization's most vital and non-fungible asset.

A former Research VP, Data & Analytics for Gartner, Sanjeev was bitten by the data bug 30 years ago, and it's never let go. It started with an accidental introduction to dBASE III+ and years of being an Oracle evangelist, and he's now deep into Big Data and the plethora of technologies that complement the Data Science space. In between, he's helped the world's largest companies select the right cloud platforms, has run large mission-critical projects, and assisted senior management executives in making tough strategic decisions to ensure optimal solutions to complex problems such as the Wells Fargo / Wachovia merger. On top of all that, Sanjeev has published many white papers and has been among the top 10 speakers at numerous conferences such as Oracle World, BI Brain Trust and Informatica World. He created University of California, Berkeley Extension's advanced Oracle training curriculum.