Richa Sachdev, Executive Director- Data Operations and Automation, shares insights on optimizing the end-user experience, understanding business goals and metrics, converting legacy applications, working with data platforms, challenges of integrating different databases, and the role of automation in streamlining processes and improving customer interactions in the reward space.
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Quick takeaways
Understanding business goals and metrics is crucial for making effective product design and technology decisions.
A strong data platform is essential for successful ML model utilization and effective data utilization.
Deep dives
Understanding the Value of Tech and Business Knowledge
Riche, a former software engineer turned business expert, shares the importance of understanding both the technology and business sides of a project. She explains how her background in software engineering has allowed her to make better product design and technology decisions by deeply understanding business goals and metrics.
The Significance of Data Platforming
Riche discusses the importance of data platforming in the current ML world. She explains that a strong data platform is crucial for utilizing proprietary data and ensuring the success of ML models. Riche shares her experience in implementing data platforms in various organizations and emphasizes the need for a robust foundation for effective data utilization.
The Challenges of Data Architecture
Riche delves into the complexities of data architecture and its impact on successful data-driven projects. She highlights the challenges of integrating structured and unstructured data, as well as the trade-offs between choosing the right databases and storage solutions. Riche also discusses the concepts of ETL/ELT, data mesh, and the importance of considering data security and privacy when designing data architecture.
Balancing Business Metrics and Technology Trade-offs
Riche addresses the trade-offs between focusing on business metrics and embracing new technology. She explains the need to evaluate the impact of technology changes on business outcomes and ROI. Riche emphasizes the importance of considering resources, time, stakeholder involvement, and the ability to deliver quick wins. Additionally, she discusses the challenge of modernizing legacy systems and finding the right balance between automation and maintaining user experience.
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 https://www.youtube.com/watch?v=tAOf2lVQUY4 https://www.youtube.com/watch?v=cXanVyaannQ 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
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