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Understanding the Snowflake Data Cloud

Understanding the Snowflake Data Cloud

FromThe Cloudcast


Understanding the Snowflake Data Cloud

FromThe Cloudcast

ratings:
Length:
34 minutes
Released:
Jun 28, 2023
Format:
Podcast episode

Description

Jeff Hollan (@jeffhollan, Director of Product @SnowflakeDB) talks about bringing apps to data, how orgs manage AI/ML, and the “enterprise” needs of Generative AI. SHOW: 731CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotwNEW TO CLOUD? CHECK OUT - "CLOUDCAST BASICS"SHOW SPONSORS:Datadog Kubernetes Solution: Maximum Visibility into Container EnvironmentsStart monitoring the health and performance of your container environment with a free 14 day Datadog trial. Listeners of The Cloudcast will also receive a free Datadog T-shirt.Equinix Global Data Centers and Networking Learn more and signup at https://deploy.equinix.com/. Use the coupon code CLOUDCAST to get $500 in credits to get started.SHOW NOTES:Snowflake (homepage)Snowflake Summit 2023Snowflake SnowparkNVIDIA NeMo Framework (build customized generative AI models)Topic 1 - Welcome to the show. Tell us a little bit about your background, and what you focus on at Snowflake.Topic 2 - For those not familiar, give us a high-level overview of the breadth of services that the Snowflake Data Cloud provides?Topic 3 - Challenges and patterns for orgs making data science / ML “real” in their companyTopic 4 - Evolution of data cloud platforms and emerging pattern of “bringing apps to the data” - the why and the howTopic 5 - Generative AI / LLMs for enterprise - peeling back the hype, enterprise considerations, tech opportunities.FEEDBACK?Email: show at the cloudcast dot netTwitter: @thecloudcastnet
Released:
Jun 28, 2023
Format:
Podcast episode

Titles in the series (100)

The Cloudcast is the industry's leading, independent Cloud Computing podcast. Since 2011, co-hosts Aaron Delp & Brian Gracely have interviewed technology and business leaders that are shaping the future of computing. Topics will include Cloud Computing | Open Source | AWS | Azure | GCP | Serverless | DevOps | Big Data | ML | AI | Security | Kubernetes | AppDev | SaaS | PaaS | CaaS | IoT.