Updated The Evolution of ML Infrastructure // Sakib Dadi // MLOps Podcast #140

MLOps Coffee Sessions #140 with Sakib Dadi, The Evolution of ML Infrastructure sponsored by Wallaroo. // Abstract The toolkit and infrastructure empowering machine learning practitioners are advancing as ML adoption accelerates. We'll go through the current landscape of ML tooling, startups, and new projects from an investor's perspective. // Bio Sakib is a vice president in the San Francisco office where he primarily focuses on early-stage investments in developer platforms, data infrastructure, and machine learning. He has been involved with Bessemer’s investments in Prefect, Coiled, Arcion, Periscope Data (acquired by Sisense), Okera, npm (acquired by GitHub), and LaunchDarkly. Before joining Bessemer, Sakib worked in product at Viagogo, an international marketplace for buying and selling tickets for live events.      Sakib also worked in the technology investment banking group at Morgan Stanley and as an engineer at Innova Dynamics (acquired by TPK), a startup manufacturing flexible touchscreen displays. // MLOps Jobs board   https://mlops.pallet.xyz/jobs // MLOps Swag/Merch https://mlops-community.myshopify.com/ // Related Links --------------- ✌️Connect With Us ✌️ ------------- Join our slack community: https://go.mlops.community/slack Follow us on Twitter: @mlopscommunity Sign up for the next meetup: https://go.mlops.community/register Catch all episodes, blogs, newsletters, and more: https://mlops.community/   Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/ Connect with Sakib on LinkedIn: https://www.linkedin.com/in/sakib-dadi-77938937/ Timestamps: [00:00] Sakib's preferred coffee [00:13] Introduction to Sakib Dadi [01:33] Sakib's background [02:40] Shout out to this episode's Sponsor, Wallaroo! [04:17] ML investing [05:57] Investing regrets [08:06] Transformers are today what would be tomorrow? [09:18] Company that you wish existed now [10:23] Current thoughts on the MLOps market [12:32] MLOps transition to Generative AI [15:52] Mind maps [17:03] Jasper [22:14] Intersection   [24:10] Differences in models in-house [26:08] Orchestration space [28:23] Nuances of Monitoring [29:20] Demetrios' theory on Monitoring [31:48] Non-funded Monitoring Companies [34:29] Investment risks [36:55] Orchestration markets [39:38] MLOps market at a plateau [42:14] Vertical problems, vertical solutions   [45:45] Sakib starting a company [50:10] Structuring deals [51:50] Infrastructure tools [53:26] Firing a founder   [53:49] Parting ways with a founder [57:07] Wrap up