Snowflake has been on a journey to break down silos to help organizations put their data to work. From high-performance analytics at scale to global collaboration across shared data to enabling full programmability without sacrificing governance, Snowflake continues to redefine what's possible with data... and we're just getting started.

Healthcare and life sciences organizations are under unprecedented pressure to adapt and respond to changing patient needs, regulations, and market conditions. Snowflake’s Healthcare & Life Sciences Data Cloud enables healthcare and life sciences organizations to securely leverage the full potential of data to help deliver exceptional patient and business outcomes and accelerate medical innovation, while ensuring the highest levels of data security, governance, and compliance.

Join host Felipe Hoffa joined by Snowflake Product Manager Samartha Chandrashekar and Developer Advocate Gilberto Hernandez as they discuss best practices and recommendations on cost optimization including getting visibility into cost, warehouse optimization, warehouse utilization, and more.

While companies have different motivations for modernizing their data strategy and platform, we all agree that investment in data is necessary and valuable. With the pace at which technologies are changing, it can be difficult to make the right decisions for your organization. By starting with a strong foundational data strategy, you can choose the right tools and architecture to transform your business. Listen in to learn how Disney Parks is leveraging Snowflake to implement a modern data strategy and lead a multifaceted transformation to disrupt not only the technology but also the culture of how engineering and business teams use and collaborate with data.

What can an organization do to troubleshoot flawed data sets before they get into the hands of end-users? In this episode of “Powered by Snowflake,” host Daniel Myers explores that topic with Andy Petrella, Founder and CPO of Kensu, which offers a data observability platform built specifically for data engineers. The conversation includes a demo of the platform that spotlights how it enables data engineers to proactively identify data problems before the data gets to stakeholders.

When Salesforce moved from an on-premises data warehouse to Snowflake, it faced the challenge of supporting exponential growth in data and users. Hear about the people, processes, and technological steps taken to build a scalable data platform that enables faster time to market.

Join host Felipe Hoffa as he recaps announcements made at Snowflake Summit with Data Superhero and Co-Founder & CEO of SELECT, Ian Whitestone, and Snowflake Developer Advocate, Dash Desai. The event will also feature a demo on how to get started with building Native Apps.

How does Peak leverage the power of Snowflake to provide businesses with the ability to integrate artificial intelligence right into their data infrastructure? In this episode of “Powered by Snowflake” host Daniel Myers explores that question with Peak Solution Engineer Chris Billingham, who also provides a demo of how the Peak platform works.

The Snowflake Native Apps Framework revolutionizes the way apps are developed, distributed, and monetized. To illustrate its capabilities, we developed a Snowflake Native App utilizing the preferred tools of developers, and Snowflake first-class functionalities including Streamlit, Snowpark, and Telemetry. We then seamlessly distributed and monetized the app through the Snowflake Marketplace. Last, we demonstrated how consumers can discover, try, purchase and deploy the Snowflake Native App within their accounts, retaining full control of their data.

Sridhar Ramaswamy (Neeva co-founder) on the LLM landscape and his excitement for Summit! https://www.snowflake.com/summit/

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