Systems | Development | Analytics | API | Testing

Unlocking Data Innovation: Morgan Stanley's Journey with Snowflake for Customer 360

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.

Powering Better Decision and Policy Making Through Integrated Data

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.

Empowering Seamless Data Governance with a New User Experience in Snowsight

At Snowflake, we are dedicated to helping our customers effectively mobilize their data while upholding stringent standards for compliance and data governance. We understand the importance of quick and proactive identification of objects requiring governance, as well as the implementation of protective measures using tags and policies.

Snowflake Customer 360 For Organizations

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.

Marketing Success in the Age of AI Requires a Modern Marketing Data Stack

Data is essential to marketing. It’s how we know our audience and measure campaign outcomes. It shows us where to adjust a campaign on the fly, for even better results. But working with data is increasingly complex, and having the right stack of technologies is invaluable.

Power Holistic Customer Insights with Salesforce and Snowflake Data Sharing-Based Integration

Snowflake and Salesforce have built on our existing partnership to unify the full breadth of customer and business data and generate actionable insights for our customers. We are happy to announce the general availability of Bring Your Own Lake (BYOL) Data Sharing with the Snowflake Data Cloud from Salesforce Data Cloud. Organizations can now leverage Salesforce data directly in Snowflake via zero-ETL data sharing to accelerate decision-making and help streamline business processes.

Streaming Pipelines With Snowflake Explained In 2 Minutes

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.