In this edition of "The Next Frontiers of AI," we explore the transformative potential of AI in the financial services sector. Featuring a discussion on how industries can create integrated AI ecosystems to surpass current limitations, the conversation emphasizes the importance of building value from generative AI as a foundational tool in the financial space. Our August guest, Jayeeta Putatunda, director of the Artificial Intelligence Center of Excellence at Fitch Group, provides extensive knowledge on AI developments in financial services. Recorded at theCUBE Research and hosted by Scott Hebner, the video explores current trends and forward-thinking strategies in the sector. Putatunda introduces their diverse background in economics, statistics, and quantitative modeling, sharing how this expertise applies to financial AI innovations. The conversation includes insights from theCUBE Research and hosts, highlighting how financial services consistently lead in adopting and leveraging new technologies. Key topics addressed include generative AI's cautious adoption in financial services, the need for rigorous testing, and improving value delivery through AI. Among the critical takeaways, Putatunda discusses the limitations of traditional AI and large language models in financial industries, emphasizing the importance of explainability and transparency. Causal AI is highlighted as a transformative technology, offering business decision-making advancements and the ability to simulate "what-if" scenarios. Putatunda also focuses on how these capabilities can enhance strategic planning and operational efficiency within financial services. Find more SiliconANGLE news and analysis https://siliconangle.com/ Follow theCUBE's wall-to-wall event coverage https://siliconangle.com/events/ Learn about the latest theCUBE events https://www.thecube.net/ 00:00 - Intro 00:06 - Exploring the Evolution and Future of AI: Innovations, Ecosystems, and Historical Perspectives 03:28 - Navigating AI: Current Landscape and Challenges in Financial Services 07:47 - The Limitations of LLMs and Traditional Models 10:22 - AI Reasoning and RAG Frameworks 14:14 - The Evolution of RAG Frameworks 18:44 - Knowledge Graphs and Financial Services 25:26 - The Importance of Causal AI in Financial Services 30:37 - Concluding Insights: The Future of Causal AI #FinancialServices #AI #GenerativeAI #CausalAI #FitchGroup #SiliconAngle