Sign up to save your podcasts
Or
Share Ep 41: Head of AI at Snowflake Baris Gultekin on Why They Built Their Own LLM, Governance as a Moat, and the Most Common Enterprise Use-Cases
Share to email
Share to Facebook
Share to X
Share to email
Share to Facebook
Share to X
Or
Ep 41: Head of AI at Snowflake Baris Gultekin on Why They Built Their Own LLM, Governance as a Moat, and the Most Common Enterprise Use-Cases
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
View all episodes
By by Redpoint Ventures
4.9
4949 ratings
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
More shows like Unsupervised Learning
View all
This Week in Startups
1,293 Listeners
The Twenty Minute VC (20VC): Venture Capital | Startup Funding | The Pitch
536 Listeners
a16z Podcast
1,092 Listeners
Y Combinator Startup Podcast
236 Listeners
Machine Learning Street Talk (MLST)
90 Listeners
Dwarkesh Podcast
72 Listeners
No Priors: Artificial Intelligence | Technology | Startups
131 Listeners
Latent Space: The AI Engineer Podcast
94 Listeners
The AI Daily Brief: Artificial Intelligence News and Analysis
588 Listeners
BG2Pod with Brad Gerstner and Bill Gurley
511 Listeners
AI + a16z
34 Listeners
Lightcone Podcast
22 Listeners
Training Data
39 Listeners
Uncapped with Jack Altman
39 Listeners
Cheeky Pint
43 Listeners