Build High-Performing AI/ML Teams to Drive Real Business Impact with AI
Richa Sachdev Executive Director, AI/ML and Data Products, JPMorgan Chase
Richa Sachdev shares a playbook for building and scaling high-performing AI/ML teams that drive tangible business impact. She emphasizes the importance of aligning stakeholders across C-suite, technology, and business units; clearly defining AI roles and responsibilities; integrating models into production with intentional design; and investing in governance, ethics, and literacy across the enterprise. The session is a deeply practical guide to what separates AI transformation success stories from stalled initiatives—and what leaders can do to stay ahead.
Key Takeaways:
- Alignment with Business & Tech is Critical
High-performing teams bridge the gap between data scientists, product managers, engineers, and compliance leaders. - Auditability and Traceability are Non-Negotiable
Even the best models are useless if they can't be explained, governed, and defended in audits. - Talent Strategy Must Match Operating Models
Clear role definitions, data literacy, and upskilling across functions are essential for scaling impact sustainably.
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