Learn how Morgan Stanley is delivering the optimized and modern data experience for internal Morgan Stanley teams, as well as wealth customers. Key focuses include the approach that the technology team has taken to build a data platform with Snowflake and how that has translated to enabling data science and machine learning, data collaboration, and analytics workloads to drive core business outcomes. Topics include an overview of the Morgan Stanley Wealth Management data ecosystem and how Snowflake and key partners fit in, a deep dive into data science and machine learning and analytics workloads, and the key business use cases enabled by the technology.

In this episode, Alex Izydorczyk, Founder at Cybersyn, shares his vision of how integrated data can help to power better decision and policy making, the need for better branding of alternative data, and how Cybersyn is focused on building out DaaS (data as a service) across all industries.

Enabling the organization to use data is one of the biggest challenges for every company. Sebastien Rozanes, Chief Data & Analytics Officer at Carrefour explains how relating the data to a supermarket made it easier for the global company to use and leverage all of its data.