Artwork

Content provided by Michael Burke and Chris Detzel, Michael Burke, and Chris Detzel. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Michael Burke and Chris Detzel, Michael Burke, and Chris Detzel 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://player.fm/legal.
Player FM - Podcast App
Go offline with the Player FM app!

The Future of Business with Generative AI: Opportunities and Challenges

29:27
 
Share
 

Manage episode 399028752 series 3451197
Content provided by Michael Burke and Chris Detzel, Michael Burke, and Chris Detzel. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Michael Burke and Chris Detzel, Michael Burke, and Chris Detzel 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://player.fm/legal.

In this conversation, Krishnan Venkata, Chief Client Officer at LatentView Analytics, discusses the impact of generative AI on various industries and business functions. He highlights the importance of understanding the business problems that can be solved with generative AI and starting with small pilots to test its effectiveness. Krishnan also addresses misconceptions about generative AI and emphasizes the need for human expertise in complex problem-solving and customer interactions. He suggests that companies should integrate generative AI into their operations by identifying use cases and creating a roadmap for implementation.

Takeaways
Generative AI has the potential to drive growth and solve a wide range of business problems across industries and functions.

When creating decision trees with generative AI, it is important to start with unsupervised learning and continuously refine the model based on known outcomes and context.

There are misconceptions about generative AI being a magic solution that can solve all problems, but it should be seen as an additional layer of intelligence that complements human expertise.

Specialized agents and multi-model structures are emerging in the generative AI space, allowing for more targeted and effective communication with users.

Generative AI can be particularly impactful in targeting the long tail of customers, improving self-service experiences, and personalizing customer interactions.

While generative AI has its limitations, human expertise and understanding of context, sentiment, and complex relationships are still crucial in problem-solving and customer interactions.

Chapters

00:00
Introduction and Personal Updates

01:23
Introduction of Krishnan Venkata and Background

02:21
Generative AI and its Impact

05:20
Creating Decision Trees with Generative AI

08:53
Misconceptions about Generative AI

11:16
Specialized Agents and Multi-Model Structure

16:22
Significant Change with Generative AI in Different Industries

18:08
Targeting the Long Tail of Customers

21:03
AI in Self-Service and Personalized Customer Interactions

25:20
The Limitations of AI and the Importance of Human Expertise

28:08
Integrating Generative AI into Operations

30:31
Closing Remarks

  continue reading

39 episodes

Artwork
iconShare
 
Manage episode 399028752 series 3451197
Content provided by Michael Burke and Chris Detzel, Michael Burke, and Chris Detzel. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Michael Burke and Chris Detzel, Michael Burke, and Chris Detzel 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://player.fm/legal.

In this conversation, Krishnan Venkata, Chief Client Officer at LatentView Analytics, discusses the impact of generative AI on various industries and business functions. He highlights the importance of understanding the business problems that can be solved with generative AI and starting with small pilots to test its effectiveness. Krishnan also addresses misconceptions about generative AI and emphasizes the need for human expertise in complex problem-solving and customer interactions. He suggests that companies should integrate generative AI into their operations by identifying use cases and creating a roadmap for implementation.

Takeaways
Generative AI has the potential to drive growth and solve a wide range of business problems across industries and functions.

When creating decision trees with generative AI, it is important to start with unsupervised learning and continuously refine the model based on known outcomes and context.

There are misconceptions about generative AI being a magic solution that can solve all problems, but it should be seen as an additional layer of intelligence that complements human expertise.

Specialized agents and multi-model structures are emerging in the generative AI space, allowing for more targeted and effective communication with users.

Generative AI can be particularly impactful in targeting the long tail of customers, improving self-service experiences, and personalizing customer interactions.

While generative AI has its limitations, human expertise and understanding of context, sentiment, and complex relationships are still crucial in problem-solving and customer interactions.

Chapters

00:00
Introduction and Personal Updates

01:23
Introduction of Krishnan Venkata and Background

02:21
Generative AI and its Impact

05:20
Creating Decision Trees with Generative AI

08:53
Misconceptions about Generative AI

11:16
Specialized Agents and Multi-Model Structure

16:22
Significant Change with Generative AI in Different Industries

18:08
Targeting the Long Tail of Customers

21:03
AI in Self-Service and Personalized Customer Interactions

25:20
The Limitations of AI and the Importance of Human Expertise

28:08
Integrating Generative AI into Operations

30:31
Closing Remarks

  continue reading

39 episodes

All episodes

×
 
Loading …

Welcome to Player FM!

Player FM is scanning the web for high-quality podcasts for you to enjoy right now. It's the best podcast app and works on Android, iPhone, and the web. Signup to sync subscriptions across devices.

 

Quick Reference Guide