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sridhar
CEO @snowflakedb; founder @neeva Ex-@GreylockVC Ex-@Google SVP of Ads Ex-@BellLabs.
. @SallieMae is showing what’s possible when you put data to work.
By consolidating onto @Snowflake, they cut regulatory processing times by 90%, scaled their data volumes 6x without increasing costs, and are now delivering real-time, personalized engagement to millions of students.
This is the power of a modern data foundation: Faster insights, smarter decisions, better outcomes.
Proud to support Sallie Mae in making higher education more accessible to students everywhere.

1,23K
sridhar kirjasi uudelleen
🇺🇸
Today is a day we have been working towards for six months. We are announcing America’s AI action plan putting us on the road to continued AI dominance.
The three core themes:
- Accelerate AI innovation
- Build American AI infrastructure
- Lead in international AI diplomacy and security.
It’s a long document (!) and I highly encourage you read it.
There is a lot of exciting actions in here but one I’m very partial to is the focus on open source and open weights and making sure the U.S. leads in this critical area.
This represents the work of many many people but I want to particularly highlight @DavidSacks @mkratsios47 and the person who has spent the most time and sweat and effort on this : @deanwball
Personally, this is an effort I’ve been incredibly proud to have been a part of and why I signed up for this job. I’m confident this and the other announcements today put us on the road to AI dominance as called for by President Trump.

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sridhar kirjasi uudelleen
The Snowflake team is thrilled to welcome @dbuchheim as our new Global Head of Media, Entertainment, and Adtech/Martech at Snowflake! His 20+ years of experience will drive even more innovation and transformation for these dynamic verticals. ❄️
Learn more about his vision:

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Making AI data interaction easy.
I’m excited to see the @Snowflake team open-source resources to streamline Model Context Protocol (MCP) server creation on Snowflake Cortex Analyst and Search. This is key to unlocking AI's full potential.
MCP provides AI agents with one consistent interface to access all data sources—Snowflake, third-party, and internal. Coupled with strong partnerships like @AnthropicAI, this means faster AI deployment, better data governance, and massive leaps in productivity with minimal integration headaches. Less complexity, more impact.

Snowflake15.7. klo 20.38
AI just got smarter for the enterprise—and it's redefining data interaction.
Model Context Protocol (MCP) servers are redefining how AI agents connect with enterprise data, driving efficiency like never before. And, we're thrilled to be a cornerstone data partner for @AnthropicAI's Claude for Financial Services to take enterprise AI agents to the next level.
And the best part? We've open-sourced resources for MCP server creation on Snowflake Cortex Analyst and Cortex Search. This empowers all organizations to build powerful, scalable AI agents using a consistent interface across all data sources—whether on Snowflake, third-party services, or internal systems.
Discover how Snowflake’s MCP Server support simplifies your AI agent integration and unlocks new possibilities:




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AI’s potential is enormous, and reliability is increasingly in focus as we expand enterprise use.
Here’s how we get there:
➡️ Start with trusted data: Your enterprise data, governed and secure, is the foundation.
➡️ Be intentional with use cases: The best AI isn’t generic. It’s applied to specific areas, trained to solve specific problems. Think about the use cases where AI at 90% accuracy can still drive huge impact.
➡️ Create human feedback loops: Feedback is how we drive continuous improvement and ensure models evolve in ways we can trust. It’s how we’re going to reach greater reliability across the board.
A relentless focus on outcomes will help us evolve this technology to achieve greater impact and drive meaningful efficiency.
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