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a16z and Andreessen Horowitz에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 a16z and Andreessen Horowitz 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
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Embedding AI: The Questions Every CEO is Asking

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Manage episode 363343838 series 2546451
a16z and Andreessen Horowitz에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 a16z and Andreessen Horowitz 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

2022 was a breakout year for AI. While machine learning had already been integrated into applications for millions of users, for many, these tools still felt like their first real-world encounter with AI.

As AI continues to revolutionize industries, CEOs are discussing how to integrate this new superpower. They are also considering important questions around data privacy, competition, cost, accuracy, and speed.

In today's episode, we talk with Cresta, Hex, and Sourcegraph, three companies at the forefront of integrating AI into their existing products. From navigating data privacy concerns to optimizing accuracy and managing costs, these leaders are navigating the complexities of this new superpower.

Topics Covered:

  • 00:00 - Introduction
  • 02:51 - How AI can enhance customer service
  • 08:26 - Using AI to shape data and analytics
  • 09:33 - Solving the challenges on contextual understanding
  • 12:01 - Giving AI the right information and context
  • 13:31 - Tools that help build language Models (LLMs)
  • 15:39 - Building open source tools
  • 18:40 - Constructing prompts
  • 22:26 - How do you differentiate?
  • 23:48 - Customization as a moat
  • 25:26 - Privacy challenges
  • 29:14 - Language models and search engines
  • 30:41 - Cost and pricing of models
  • 32:48 - What does the contact center look like in 2028?

Resources:

Find Barry McCardel on Twitter https://twitter.com/barrald

Find Beyang Liu on Twitter: https://twitter.com/beyang

Find Zayd Enam on Twitter: https://twitter.com/zaydenam

Recent AI episodes:

Stay Updated:

Find a16z on Twitter: https://twitter.com/a16z

Find a16z on LinkedIn: https://www.linkedin.com/company/a16z

Subscribe on your favorite podcast app: https://a16z.simplecast.com/

Follow our host: https://twitter.com/stephsmithio

Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. For more details please see

  continue reading

256 에피소드

Artwork

Embedding AI: The Questions Every CEO is Asking

a16z Podcast

51,244 subscribers

published

icon공유
 
Manage episode 363343838 series 2546451
a16z and Andreessen Horowitz에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 a16z and Andreessen Horowitz 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

2022 was a breakout year for AI. While machine learning had already been integrated into applications for millions of users, for many, these tools still felt like their first real-world encounter with AI.

As AI continues to revolutionize industries, CEOs are discussing how to integrate this new superpower. They are also considering important questions around data privacy, competition, cost, accuracy, and speed.

In today's episode, we talk with Cresta, Hex, and Sourcegraph, three companies at the forefront of integrating AI into their existing products. From navigating data privacy concerns to optimizing accuracy and managing costs, these leaders are navigating the complexities of this new superpower.

Topics Covered:

  • 00:00 - Introduction
  • 02:51 - How AI can enhance customer service
  • 08:26 - Using AI to shape data and analytics
  • 09:33 - Solving the challenges on contextual understanding
  • 12:01 - Giving AI the right information and context
  • 13:31 - Tools that help build language Models (LLMs)
  • 15:39 - Building open source tools
  • 18:40 - Constructing prompts
  • 22:26 - How do you differentiate?
  • 23:48 - Customization as a moat
  • 25:26 - Privacy challenges
  • 29:14 - Language models and search engines
  • 30:41 - Cost and pricing of models
  • 32:48 - What does the contact center look like in 2028?

Resources:

Find Barry McCardel on Twitter https://twitter.com/barrald

Find Beyang Liu on Twitter: https://twitter.com/beyang

Find Zayd Enam on Twitter: https://twitter.com/zaydenam

Recent AI episodes:

Stay Updated:

Find a16z on Twitter: https://twitter.com/a16z

Find a16z on LinkedIn: https://www.linkedin.com/company/a16z

Subscribe on your favorite podcast app: https://a16z.simplecast.com/

Follow our host: https://twitter.com/stephsmithio

Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. For more details please see

  continue reading

256 에피소드

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