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The Secret World of AI: What Businesses Are Doing Behind Closed Doors

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Manage episode 423500818 series 3521162
内容由Jeff Bullas提供。所有播客内容(包括剧集、图形和播客描述)均由 Jeff Bullas 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

Brad is the Founder & CEO of Jozu and a project lead for the open source http://Kitops.ml project, a toolset designed to increase the speed and safety of building, testing, and managing AI/ML models in production.

‌This is Brad’s second startup, his first (Codenvy, the market’s first container-based developer environment) was sold to Red Hat in 2017.

‌In his 25-year career in the developer tools and DevOps software market, he’s been the GM for Amazon’s API Gateway, and built open- and closed-source products that have been leaders in Gartner Magic Quadrants.

‌In his free time he enjoys cycling, reading, and vintage cars.

‌What you will learn
  • Learn the importance of protecting intellectual property and sensitive data in AI.
  • Comprehend how AI is less deterministic and more human-like than traditional software.
  • Recognize the challenges companies face in integrating AI while keeping their data secure.
  • Explore the process and collaboration needed between data scientists and software engineers.
  • Examine a real-world example of using AI for inventory management in a global retailer.
  • Identify the problem of model drift and how to address it.
  • Distinguish between consumer AI applications and enterprise AI needs.
  • Appreciate the rapid pace of AI development and its unprecedented nature.
  continue reading

100集单集

Artwork
icon分享
 
Manage episode 423500818 series 3521162
内容由Jeff Bullas提供。所有播客内容(包括剧集、图形和播客描述)均由 Jeff Bullas 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

Brad is the Founder & CEO of Jozu and a project lead for the open source http://Kitops.ml project, a toolset designed to increase the speed and safety of building, testing, and managing AI/ML models in production.

‌This is Brad’s second startup, his first (Codenvy, the market’s first container-based developer environment) was sold to Red Hat in 2017.

‌In his 25-year career in the developer tools and DevOps software market, he’s been the GM for Amazon’s API Gateway, and built open- and closed-source products that have been leaders in Gartner Magic Quadrants.

‌In his free time he enjoys cycling, reading, and vintage cars.

‌What you will learn
  • Learn the importance of protecting intellectual property and sensitive data in AI.
  • Comprehend how AI is less deterministic and more human-like than traditional software.
  • Recognize the challenges companies face in integrating AI while keeping their data secure.
  • Explore the process and collaboration needed between data scientists and software engineers.
  • Examine a real-world example of using AI for inventory management in a global retailer.
  • Identify the problem of model drift and how to address it.
  • Distinguish between consumer AI applications and enterprise AI needs.
  • Appreciate the rapid pace of AI development and its unprecedented nature.
  continue reading

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