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Prasad Kawthekar, Co-Founder & CEO of Dashworks, on enterprise AI search tools

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Manage episode 402789440 series 2986762
内容由Dan Turchin提供。所有播客内容(包括剧集、图形和播客描述)均由 Dan Turchin 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

Prasad Kawthekar is the Co-Founder & CEO of Dashworks, an all-in-one AI search assistant. It enables users to find any document, message, or email and to accelerate a team's productivity. With over 40+ integrations, Dashworks enables teams to find and organize their internal knowledge across apps from one place and leverage their collective expertise.

In our conversation, we discuss:

  • The historical evolution of enterprise search tools
  • The challenges to enterprise search adoption: such as API integration complexities persist, hindering widespread adoption
  • The role of Generative AI in search
  • Limitations of current AI models and what the future holds for them.
  • What are some considerations for future AI development?
  • The potential of retrieval-augmented generative AI (RAG) in providing accurate and factual responses, while also acknowledging its limitations and potential for further evolution

Additional resources:

  continue reading

261集单集

Artwork
icon分享
 
Manage episode 402789440 series 2986762
内容由Dan Turchin提供。所有播客内容(包括剧集、图形和播客描述)均由 Dan Turchin 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

Prasad Kawthekar is the Co-Founder & CEO of Dashworks, an all-in-one AI search assistant. It enables users to find any document, message, or email and to accelerate a team's productivity. With over 40+ integrations, Dashworks enables teams to find and organize their internal knowledge across apps from one place and leverage their collective expertise.

In our conversation, we discuss:

  • The historical evolution of enterprise search tools
  • The challenges to enterprise search adoption: such as API integration complexities persist, hindering widespread adoption
  • The role of Generative AI in search
  • Limitations of current AI models and what the future holds for them.
  • What are some considerations for future AI development?
  • The potential of retrieval-augmented generative AI (RAG) in providing accurate and factual responses, while also acknowledging its limitations and potential for further evolution

Additional resources:

  continue reading

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