In this episode, we delve into the array of new technologies fueling Agentic AI and why architecture matters more than ever. I am joined by  George Gilbert, the principal analyst at theCUBE Research, who covers data platforms, intelligent apps, and agentic frameworks, to decompose the approaches that industry pioneers are taking.  As enterprises seek to harness AI’s full potential, the focus shifts from GenAI and LLMs to sophisticated AI agents capable of autonomous decision-making and continuous learning. We’ll share our learnings about the importance of building a multi-layered architecture of AI agents, highlighting key components such as: • Perception Layer: Gathering contextual information through specialized modules. • Cognitive Core: Integrating logical reasoning and goal-setting for informed decisions. • Execution Framework: Selecting optimal actions and integrating external tools. • Learning Loop System: Utilizing feedback mechanisms to foster continuous improvement. • Inter-agent Communications: Enabling AI agents to collaborate intelligently. Join us as we explore the future of AI agents and their role in enhancing workflows and driving innovation in enterprise technology. We will discuss how agentic AI is fundamentally changing the nature of what software can do and how it's built and evolved. This is a must-watch conversation for anyone just getting started with agentic AI.

As enterprises rapidly embrace AI agents and agentic systems to revolutionize decision-making and automation, the question arises: Are Software Development Lifecycle (SDLC) solutions critical to the future of Agentic AI? Join Scott Hebner, host of the Next Frontiers of AI, and Paul Nashawaty , renowned industry analyst and expert in Application Development,  modernization, and Software Development Lifecycle (SDLC) solutions, as they consider the role of SDLC in agentic systems development. • Are software development skills essential? • Will software developers also need to become data scientists? • Does the complexity spectrum—from no-code to autonomous AI—dictate SDLC platforms? • When will SDLC platforms be critical, beneficial, or potentially overkill? • Will we see an integration of Jira, GitHub, Docker, Kubernetes, MLOps, etc. with AI platforms? Tune in for a thought-provoking conversation on bridging traditional software engineering practices with the revolutionary demands of AI-driven innovation.

In this episode of the Next Frontiers of AI Podcast, I am joined by Irving Wladawsky-Berger, an MIT research affiliate, adjunct professor, senior fellow, advisory board member, and a legendary, game-changing executive from IBM. We discuss how the last 50 years of transformative technologies serve as a guide for the future of AI. You’ll gain unique insights from an industry innovator who has repeatedly helped reshape the business landscape with technological innovations spanning the eras of mainframes, PCs, client-server systems, e-business, cloud computing, IoT, and now AI. Are we watching the same movie over and over again, just with different characters? Tune in and find out!

In this episode of the Next Frontiers of AI Podcast, I go solo to address an array of questions I have received about how to build decision intelligence capabilities in AI Agents and agentic systems. As the market is quickly realizing, generative AI and LLMs are insufficient to fuel these AI Agents, and businesses must build an extended ecosystem of specialized AI models. You’ll learn my point-of-view that has been informed by dozens of AI experts and pioneering companies. I am eager to hear your views!

In this episode of the Next Frontiers of AI Podcast, I am joined by Stuart Frost, the CEO and founder of Geminos. We discuss the future of AI-powered business decision-making, which understands why outcomes occur. You’ll learn how this industry pioneer has delivered next-generation AI platforms that incorporate gaming Causal Knowledge Graphs. By integrating causal relationships, Causal Knowledge Graphs transform knowledge graphs from passive repositories into dynamic, self-reinforcing systems that provide a foundation for more intelligent decision-making AI agents.

In this episode of The Next Frontiers of AI Podcast, I am joined by Jayeeta Putatunda, the director of the AI Center of Excellence at the Fitch Group, to discuss the unique needs of financial services organizations and how institutions are addressing the limitations of today's AI. You'll learn about the power of advanced RAG frameworks, agent-based architectures knowledge graphs, and how Causal AI combined with RAG represents the next frontier for actionable, interpretable, and reliable AI decision-making.

In this episode of the Next Frontiers of AI Podcast, I am joined by Marc Le Maitre, the CTO of Scanbuy, to discuss how his organization achieved a 10x ROI in digital advertising campaigns by creating fully explainable and transparent AI models through the emerging innovation of causal AI. Listen in and discover why Scanbuy is “flying their flag on Causal AI” to transform the world of programmatic advertising. You’ll also learn why causal AI will become a critical component in future Agentic AI systems and is rapidly being democratized for the masses to achieve similar business outcomes.