Sponsored by: Dataiku | Agility Meets Governance: How Morgan Stanley Scales ML in a Regulated World
Overview
Wednesday
June 11
5:20 pm
Experience | In Person |
---|---|
Type | Breakout |
Track | Data and AI Governance |
Industry | Enterprise Technology, Financial Services |
Technologies | MLFlow, AI/BI |
Skill Level | Intermediate |
Duration | 40 min |
In regulated industries like finance, agility can't come at the cost of compliance. Morgan Stanley found the answer in combining Dataiku and Databricks to create a governed, collaborative ecosystem for machine learning and predictive analytics. This session explores how the firm accelerated model development and decision-making, reducing time-to-insight by 50% while maintaining full audit readiness. Learn how no-code workflows empowered business users, while scalable infrastructure powered Terabyte-scale ML. Discover best practices for unified data governance, risk automation, and cross-functional collaboration that unlock innovation without compromising security. Ideal for data leaders and ML practitioners in regulated industries looking to harmonize speed, control, and value.
Session Speakers
IMAGE COMING SOON
Raja Lanka
/Executive Director Cloud Tech
Morgan Stanley