

When Will AI Hit the Enterprise? Ben Horowitz and Ali Ghodsi Discuss
96 snips Oct 6, 2023
Join Ben Horowitz, co-founder of a16z, and Ali Ghodsi, CEO of Databricks and a leader in open-source data technologies, as they dive into the challenges of integrating AI in enterprises. They discuss the internal politics and data ownership issues large organizations face. The duo also explores the tug-of-war between large language models and specialized models, emphasizing efficiency and accuracy. Ethical implications weave throughout the conversation, reflecting on historical missteps and the need for balance in future AI advancements.
AI Snips
Chapters
Transcript
Episode notes
Enterprise AI Adoption Challenges
- Enterprises are slow to adopt generative AI due to data privacy concerns and internal politics.
- They now realize their data's value and fear leakage, causing hesitation.
Generative AI as Competitive Advantage
- Enterprise leaders now see generative AI as a competitive advantage, wanting proprietary models.
- They believe owning the AI IP is crucial for beating competitors.
Building Proprietary Models
- Enterprises with specific use cases can build better models with their own data using tools like Mosaic.
- This allows for complete data ownership and control.