a16z Podcast
When Will AI Hit the Enterprise? Ben Horowitz and Ali Ghodsi Discuss
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.
25:33
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Quick takeaways
- Enterprises face challenges in adopting generative AI due to slow decision-making processes, concerns about data privacy and security, and internal politics.
- Enterprises have use cases that require high data accuracy, influencing their adoption of generative AI.
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Challenges of Enterprise Adoption of Generative AI
Enterprises face challenges in adopting generative AI due to their slow decision-making processes, concerns about data privacy and security, and internal politics. Enterprises move at a slower pace, which makes it difficult for them to adopt new technologies quickly. They are also cautious about sharing their proprietary data and worry about data leakage. Additionally, internal conflicts arise within enterprises, with different departments claiming ownership over generative AI initiatives, hindering progress.
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