Translating Business Goals into Product Decisions

Dive into a 43-minute podcast episode featuring Richa Sachdev, Executive Director of Data Operations and Automation at JP Morgan Chase, as she discusses translating business goals into product decisions in the realm of MLOps. Explore Richa's journey from software engineering to the financial sector, gaining insights on optimizing end-user experiences, understanding business metrics, and integrating diverse databases. Learn about the challenges of converting legacy applications, the role of automation in improving customer interactions, and strategies for driving success in MLOps. Discover the importance of aligning technology with business needs, the value of structured and unstructured data, and the ongoing use of COBOL in banking. Gain valuable perspectives on leadership, creativity in problem-solving, and the balance between innovation and practical implementation in the ever-evolving field of machine learning operations.

Syllabus

[] Richa's preferred coffee
[] Takeaways
[] Richa's background to data
[] Prescriptive, Descriptive, and Predictive Data
[] Data Engineering Perspectives & Setup
[] Structured and Unstructured data
[] Richa's day-to-day at Chase
[] Figure out the business needs before the cool tech
[] Importance of business metrics
[] Optimizing end-user experience and trade-offs
[] Exhausting creativity in finding solutions
[] Consider faster implementation and increased ROI
[] Banks still using COBOL
[] Learning and growing as a versatile leader
[] Wrap up