How Snowflake Is Unlocking the Value of Data With Large Language Models

Snowflake is using AI to help enterprises transform data into insights and applications. In this episode of NVIDIA’s AI Podcast, host Noah Kravitz and Baris Gultekin, head of AI at Snowflake, discuss how the company’s AI Data Cloud platform enables customers to access and manage data at scale. By separating the storage of data from compute, Snowflake has allowed organizations across the world to connect via cloud technology and work on a unified platform — eliminating data silos and streamlining collaborative workflows.

The AI Podcast · Snowflake’s Baris Gultekin on Unlocking the Value of Data With Large Language Models – Ep. 231

Time Stamps

1:45: What does Snowflake do?
3:18: Snowflake’s AI and data strategies — building a platform with natural language analysis
5:30: How to efficiently access large language models with Snowflake Cortex
11:49: Snowflake’s open-source LLM: Arctic
16:18: Gultekin’s journey in AI and data science
23:05: The AI industry in three to five years — real-world applications of Snowflake technology
27:54: Gutlekin’s advice for professionals interested in AI

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