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.

Join host Felipe Hoffa, Data Superhero Tomas Sobotik, and Snowflake Product Manager Samartha Chandrashekar as they discuss cost controls through resource monitors with auto suspend and resume scaled to zero.

In today’s highly competitive market, consumers are more likely to stick with brands and businesses that recognize their wants and needs. Achieving this level of personalization requires companies to have a 360-degree view of customers or Customer 360. Learn how the Snowflake Data Cloud helps companies activate data to improve customer experiences by powering Customer 360.

Join Felipe Hoffa, Gilberto Hernandez (Developer Advocate), and Sohail Zafar (Product Manager) as they demo building a Snowflake Native App, the provider and consumer side of the application, monetization, and more. Bring your questions!

Join Felipe Hoffa and Nick Akincilar, Snowflake Senior Sales Engineer, to discover the new Public Preview of External Network Access for Snowpark. Get your questions ready, and joint to see Nick's demos on how to perform web scraping and parse data and insights from the web.

Streaming data has been historically complex and costly to work with. That's no longer the case with Snowflake's streaming capabilities. Together, Snowpipe Streaming and Dynamic Tables (in public preview) break the barrier between batch and streaming systems. Now you can build low-latency data pipelines with serverless row-set ingestion and declarative pipelines with SQL. You can easily adapt to your business requirements to change latency as a single parameter.

Join Felipe Hoffa and Scott Redding, Sr Solutions Architect, as they discuss query tags, query fingerprinting, and warehouse size for queries to optimize cost.

Leverage the Snowflake Native App Framework to build, market, monetize, and distribute an app to customers across the Data Cloud seamlessly and securely. Public Preview on AWS. Private Preview on GCP and Azure.

EDF, the UK's leading home and business gas and electricity company, has a mission to help Britain achieve net zero greenhouse gas emissions. With the Snowflake Data Cloud, EDF has built a customer intelligence platform to help its customers save energy and money, ultimately helping Britain achieve that Net Zero benchmark. By using Snowpark, EDF can transform large processes with billions of rows of data and have its data science team run ML models directly where the data sits.