Artwork

内容由Jon Reed提供。所有播客内容(包括剧集、图形和播客描述)均由 Jon Reed 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
Player FM -播客应用
使用Player FM应用程序离线!

Generative AI in the enterprise - project myths and realities with Vijay Vijayasankar

50:13
 
分享
 

Manage episode 377843696 series 2831136
内容由Jon Reed提供。所有播客内容(包括剧集、图形和播客描述)均由 Jon Reed 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

On diginomica, I've been pushing back on the generative AI hype machine with vigor, but also digging into its enterprise possibilities. Who better for an enterprise AI gut check than Vijay Vijayasankar? Vijayasankar has a deep interest/passion for AI but also has a reputation for debunking its misconceptions.

In his role at IBM managing financial services clients, he can also speak to project realities - and how customers weigh GenAI risks and opportunities. I lay out my generative AI views/research for a gut check from Vijayasankar. We also discuss why he wrote his post on GenAI in the enterprise, and what he thinks customers should prioritize, as they move into GenAI projects. Vijayasankar also shares his own project learnings, and promising use cases.

We hit on many issues in this podcast, such as whether bias and hallucations can ever be eliminated from LLM, and whether domain experts, customer data and reinforcement learning can improve the accuracy/effectiveness of GenAI for the enterprise. As Vijayasankar notes in the podcast, the views he expresses here, and in his post, are his views alone, not his employer.

Vijay's AI post: https://andvijaysays.com/2023/08/05/genai-in-the-enterprise-nine-themes-that-i-have-seen-so-far/

My AI post: https://diginomica.com/enterprises-will-test-limits-llms-and-chatgpt-just-beginning

  continue reading

177集单集

Artwork
icon分享
 
Manage episode 377843696 series 2831136
内容由Jon Reed提供。所有播客内容(包括剧集、图形和播客描述)均由 Jon Reed 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

On diginomica, I've been pushing back on the generative AI hype machine with vigor, but also digging into its enterprise possibilities. Who better for an enterprise AI gut check than Vijay Vijayasankar? Vijayasankar has a deep interest/passion for AI but also has a reputation for debunking its misconceptions.

In his role at IBM managing financial services clients, he can also speak to project realities - and how customers weigh GenAI risks and opportunities. I lay out my generative AI views/research for a gut check from Vijayasankar. We also discuss why he wrote his post on GenAI in the enterprise, and what he thinks customers should prioritize, as they move into GenAI projects. Vijayasankar also shares his own project learnings, and promising use cases.

We hit on many issues in this podcast, such as whether bias and hallucations can ever be eliminated from LLM, and whether domain experts, customer data and reinforcement learning can improve the accuracy/effectiveness of GenAI for the enterprise. As Vijayasankar notes in the podcast, the views he expresses here, and in his post, are his views alone, not his employer.

Vijay's AI post: https://andvijaysays.com/2023/08/05/genai-in-the-enterprise-nine-themes-that-i-have-seen-so-far/

My AI post: https://diginomica.com/enterprises-will-test-limits-llms-and-chatgpt-just-beginning

  continue reading

177集单集

所有剧集

×
 
Loading …

欢迎使用Player FM

Player FM正在网上搜索高质量的播客,以便您现在享受。它是最好的播客应用程序,适用于安卓、iPhone和网络。注册以跨设备同步订阅。

 

快速参考指南