{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Data Hurdles ","title":"The Future of Business with Generative AI: Opportunities and Challenges","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/4b961a70\"></iframe>","width":"100%","height":180,"duration":1767,"description":"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.\nTakeaways\nGenerative AI has the potential to drive growth and solve a wide range of business problems across industries and functions.\nWhen 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.\nThere 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.\nSpecialized agents and multi-model structures are emerging in the generative AI space, allowing for more targeted and effective communication with users.\nGenerative AI can be particularly impactful in targeting the long tail of customers, improving self-service experiences, and personalizing customer interactions.\nWhile generative AI has its limitations, human expertise and understanding of context, sentiment, and complex relationships are still crucial in problem-solving and customer interactions.\nChapters\n\n00:00\nIntroduction and Personal Updates\n01:23\nIntroduction of Krishnan Venkata and Background\n02:21\nGenerative AI and its Impact\n05:20\nCreating Decision Trees with Generative AI\n08:53\nMisconceptions about Generative AI\n11:16\nSpecialized Agents and Multi-Model Structure\n16:22\nSignificant Change with Generative AI in Different Industries\n18:08...","thumbnail_url":"https://img.transistorcdn.com/RdZTlNiazF3qYsBrhblBZW0SxFISyhS5vWSxFXkMjMY/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9hMWQ1/ZTQyYTAzYmEwOWQ3/MDE4YjM4ZjJhZTk2/MGRkMS5wbmc.webp","thumbnail_width":300,"thumbnail_height":300}