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Domino Data Lab empowers the largest AI-driven enterprises to build and operate AI at scale. Domino’s Enterprise AI Platform provides an integrated experience encompassing model development, MLOps, collaboration, and governance. With Domino, global enterprises can develop better medicines, grow more productive crops, develop more competitive products, and more. Founded in 2013, Domino is backed by Sequoia Capital, Coatue Management, NVIDIA, Snowflake, and other leading investors.

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RevX 2025: New York

Build High-Performing AI/ML Teams to Drive Real Business Impact with AI

Richa Sachdev Executive Director, AI/ML and Data Products, JPMorgan Chase

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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:

  1. Alignment with Business & Tech is Critical
    High-performing teams bridge the gap between data scientists, product managers, engineers, and compliance leaders.
  2. Auditability and Traceability are Non-Negotiable
    Even the best models are useless if they can't be explained, governed, and defended in audits.
  3. 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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