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How to build great AI products with Vanta Software Developer Noam Rubin

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Manage episode 456147245 series 3586305
Content provided by Raza Habib. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Raza Habib or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

In this episode, Noam Rubin, a Software Developer at Vanta reveals how his team uses data-driven strategies to design, test, and improve cutting-edge AI features. Learn how customer insights, rapid prototyping, and iterative development transform raw ideas into tools that make compliance and security easier for businesses everywhere.

Chapters:

00:00 - Introduction
02:47 - The process of building AI products at Vanta
04:51 - The role of customer feedback in product development
06:59 - Integrating AI into security and compliance workflows
08:06 - Using data specifications to guide product development
10:10 - Collaborating with subject matter experts to refine AI models
12:14 - Iterative testing and refining AI features
14:10 - Quality control and ensuring AI accuracy
16:00 - The importance of dogfooding and internal feedback loops
18:23 - Scaling AI features and rolling them out to wider audiences
20:50 - Educating engineers and democratizing AI at Vanta
22:20 - Key lessons learned from building AI products
24:12 - Maintaining AI quality through continuous feedback
26:00 - The future of AI in business and product development

  continue reading

32 episodes

Artwork
iconShare
 
Manage episode 456147245 series 3586305
Content provided by Raza Habib. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Raza Habib or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

In this episode, Noam Rubin, a Software Developer at Vanta reveals how his team uses data-driven strategies to design, test, and improve cutting-edge AI features. Learn how customer insights, rapid prototyping, and iterative development transform raw ideas into tools that make compliance and security easier for businesses everywhere.

Chapters:

00:00 - Introduction
02:47 - The process of building AI products at Vanta
04:51 - The role of customer feedback in product development
06:59 - Integrating AI into security and compliance workflows
08:06 - Using data specifications to guide product development
10:10 - Collaborating with subject matter experts to refine AI models
12:14 - Iterative testing and refining AI features
14:10 - Quality control and ensuring AI accuracy
16:00 - The importance of dogfooding and internal feedback loops
18:23 - Scaling AI features and rolling them out to wider audiences
20:50 - Educating engineers and democratizing AI at Vanta
22:20 - Key lessons learned from building AI products
24:12 - Maintaining AI quality through continuous feedback
26:00 - The future of AI in business and product development

  continue reading

32 episodes

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