The Ops in MLOps - Process and People // Shalabh Chaudri // MLOps Podcast #146
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MLOps Coffee Sessions #146 with Shalabh Chaudri, The Ops in MLOps - Process and People co-hosted by Abi Aryan.

// Abstract Shalabh talks through their newfound appreciation for the MLOps perspective from a customer success standpoint. Shalabh's emphasis on setting realistic expectations and ensuring the delivery of promised value adds is particularly valuable.    

Generally, this episode provides a unique and insightful perspective on MLOps from the lens of customer success.

// Bio Shalabh has worked in the MLOps domain since 2020 at Algorithmia and Union AI. His experience spans startups and small and large public companies. He has 10+ years of experience in the design, delivery, adoption, and business value realization of B2B infrastructure and platform solutions.

// MLOps Jobs board   https://mlops.pallet.xyz/jobs)

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// Related Links https://www.union.ai/)

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Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/) Connect with Abi on LinkedIn: https://www.linkedin.com/in/abiaryan/) Connect with Shalabh on LinkedIn: https://www.linkedin.com/in/shalabhchaudhri/)

Timestamps: [00:00] Shalabh's preferred coffee [01:18] Takeaways [02:57] Huge shout out to Union AI! [03:46] Reviews [05:26] Shalab's journey [07:00] The people and process of MLOps [10:25] Accuracy measures and Multiple Stakeholders [13:01] UnionAI's success where others fall short [14:45] Legacy equipment [17:06] Legacy tools versus open source [19:27] Cataloging solution [22:51] Stakeholders and maturity levels [24:26] People and Process in MLOps [29:00] Collaboration for Machine Learning [31:08] Overcoming challenges [34:17] AI and leadership decision-making [35:33] Legacy Companies and AI [39:39] Common pitfalls   [42:24] Neglecting ROI [46:25] Speaking to each level [49:50] Being realistic [51:29] Becoming a champion [53:08] Transitioning to machine learning [55:25] Customer's Skill and Success needed in ML   [57:46] Different sizes of companies