The Future of Business with Generative AI: Opportunities and Challenges

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.TakeawaysGenerative 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.Chapters00:00Introduction and Personal Updates01:23Introduction of Krishnan Venkata and Background02:21Generative AI and its Impact05:20Creating Decision Trees with Generative AI08:53Misconceptions about Generative AI11:16Specialized Agents and Multi-Model Structure16:22Significant Change with Generative AI in Different Industries18:08Targeting the Long Tail of Customers21:03AI in Self-Service and Personalized Customer Interactions25:20The Limitations of AI and the Importance of Human Expertise28:08Integrating Generative AI into Operations30:31Closing Remarks

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