In this insightful episode of the MongoDB Podcast, host Michael Lynn is joined by Vin Vashishta, a seasoned AI advisor, author of "From Data to Profit," and the founder of vSquared. Vin brings nearly three decades of expertise in strategy, leadership, software engineering, and applied machine learning to the table. The conversation delves into the transformative power of data, the challenges and opportunities presented by AI and machine learning, and the evolving landscape of software development. Vin shares his vision on the importance of transitioning from managing data to managing knowledge, the role of domain expertise in an AI-driven future, and practical advice for businesses and software developers to adapt and thrive in this rapidly changing environment. The episode concludes with a focus on continuous improvement and the necessity for individuals and organizations to anticipate and prepare for the technological advancements that lie ahead. For those looking to understand how to leverage data for profit and navigate the complexities of the AI revolution, this episode offers valuable insights and guidance.
Ep. 34 Performance Testing with David Daly
MongoDB Update - December 21 - MongoDB.Live Call for Speakers
Ep. 33 MongoDB Swift Driver with Kaitlin Mahar
Ep. 32 Lawrence Berkeley Labs Materials Project with Patrick Huck
Ep. 31 Built With MongoDB: Formbird
Ep. 30 MongoDB Connectors and Translators Deep Dive
MongoDB Update for November 30th, 2020
Ep. 29 Code Editor Landscape and MongoDB for VS Code
MongoDB Update for November 23, 2020
Ep. 28 Sizing MongoDB with Jay Runkel
Ep. 27 Built with MongoDB: BestSelf with David Gorski
Ep. 26 Automated Database Management Part 2 - Autoscalability
MongoDB Update for November 9, 2020
Ep. 25 Exploring Multi-cloud with Andrew Davidson
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Ep. 24 From Developer to Solutions Architect with Tosin Ajayi
MongoDB Update for October 26, 2020
Ep. 23 Automating Database Management Part 1 - Indexes
Ep. 22 The Mongoose ODM with Val Karpov
Ep. 21 Managing Corporate Purchasing with Vendrix and MongoDB
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