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When Will AI Hit the Enterprise? Ben Horowitz and Ali Ghodsi Discuss
Oct 6, 2023
Ben Horowitz and Ali Ghodsi discuss obstacles in implementing generative AI, building large models, fragmentation of AI use cases, impact of open source in AI, limitations and future possibilities of AI.
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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