MLOps podcast #184 with Richa Sachdev, Executive Director- Data Operations and Automation at JP Morgan Chase, Data Platforms in MLOps: Translating Business Goals into Product Decisions. // Abstract Richa, with her background in software engineering and experience in the financial sector, shares her insights on optimizing the end-user experience and the importance of understanding business goals and metrics. She discusses her journey in converting legacy applications, working with data platforms, and the challenges of integrating different databases. Richa also explores the role of automation in streamlining processes and improving customer interactions in the reward space. Join us as we unravel the fascinating world of MLOps and uncover the strategies and technologies that drive success in this ever-evolving field. // Bio A passionate and impact-driven leader whose expertise spans leading teams, architecting ML and data-intensive applications, and driving enterprise data strategy. Richa has worked for a Tier A Start-up developing feature platforms and in financial companies, leading ML Engineering teams to drive data-driven business decisions. Richa enjoys reading technical blogs focussed on system design and plays an active role in the MLOps Community. // MLOps Jobs board https://mlops.pallet.xyz/jobs // MLOps Swag/Merch https://mlops-community.myshopify.com/ // Related Links https://www.youtube.com/watch?v=i0To3DeHGuU
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https://www.youtube.com/watch?v=2aWSsL24fv8 --------------- ✌️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 Richa on LinkedIn: https://www.linkedin.com/in/richasachdev/ Timestamps: [00:00] Richa's preferred coffee [02:09] Takeaways [04:26] Richa's background to data [08:55] Prescriptive, Descriptive, and Predictive Data [11:50] Data Engineering Perspectives & Setup [17:34] Structured and Unstructured data [21:01] Richa's day-to-day at Chase [23:52] Figure out the business needs before the cool tech [26:46] Importance of business metrics [30:43] Optimizing end-user experience and trade-offs [36:06] Exhausting creativity in finding solutions [37:40] Consider faster implementation and increased ROI [40:20] Banks still using COBOL [41:17] Learning and growing as a versatile leader [42:04] Wrap up

But God | GENTLE AND LOWLY | Andy Floyd | Ephesians 2