Snowflake sits in a unique position in the AI landscape: They enable fast, secure, and scalable proprietary data access for thousands of customers, many of whom are building AI tools. They also maintain their own suite of AI products, increasing the utility of their platform and empowering customers who may not have the resources to build their own. That’s why it was so fascinating to speak with Baris Gultekin, Snowflake’s Head of AI, on our latest Unsupervised Learning. Baris has helped Snowflake launch several key products, including Cortex, AI Data Cloud, and even Snowflake’s own LLM, called Arctic. Baris was a founder himself — he joined Snowflake through an acquisition of his blockchain API startup, nxyz. He has a unique window into the future of AI via his role building key infrastructure. It was really fun to dive deep into this side of the AI ecosystem with Baris.
Snowflake sits in a unique position in the AI landscape: They enable fast, secure, and scalable proprietary data access for thousands of customers, many of whom are building AI tools. They also maintain their own suite of AI products, increasing the utility of their platform and empowering customers who may not have the resources to build their own.
That’s why it was so fascinating to speak with Baris Gultekin, Snowflake’s Head of AI, on our latest Unsupervised Learning. Baris has helped Snowflake launch several key products, including Cortex, AI Data Cloud, and even Snowflake’s own LLM, called Arctic. Baris was a founder himself — he joined Snowflake through an acquisition of his blockchain API startup, nxyz. He has a unique window into the future of AI via his role building key infrastructure. It was really fun to dive deep into this side of the AI ecosystem with Baris.
[0:00] Intro
[0:33] Snowflake's AI Product Portfolio
[0:52] Building Arctic LLM: Challenges and Innovations
[2:57] Use Cases and Applications of Arctic LLM
[3:10] Cortex: Snowflake's Managed Service for LLMs
[4:26] Tackling BI Challenges with Cortex Analyst
[8:46] Data Extraction and Analysis with AI
[10:15] Snowflake's AI Strategy and Future Directions
[13:12] Governance and Security in AI Deployments
[22:25] Supporting and Integrating New AI Models
[24:02] Discussing the 405B AI Model
[25:02] Enterprise Use Cases and Cost Considerations
[26:09] Future of Arctic LM and Security Concerns
[26:59] Open Source Models and Guardrails
[30:21] Internal Use of LLMs at Snowflake
[31:32] Comparing Snowflake and Databricks AI Strategies
[33:24] Opportunities for AI Startups
[34:14] Exciting AI Developments and Future Prospects
[40:34] Over-hyped/Under-hyped
[45:58] Closing Thoughts and Resources
With your co-hosts:
@jacobeffron
- Partner at Redpoint, Former PM Flatiron Health
@patrickachase
- Partner at Redpoint, Former ML Engineer LinkedIn
@ericabrescia
- Former COO Github, Founder Bitnami (acq’d by VMWare)
@jordan_segall
- Partner at Redpoint