Agentic AI Podcast

In this episode, we unpack Satya Nadella’s Frontier Framework, a strategic roadmap that helps enterprises move from isolated AI experiments to organization-wide AI transformation. We explore its four core pillars—employee productivity, customer experience, business process reinvention, and product innovation—and why proprietary data and intelligent agents, not just models, are the real sources of competitive advantage. 

 In this episode, we explore the critical shift from fragmented AI experimentation in 2025 to full-scale enterprise transformation by 2026. While AI adoption is already widespread, many organizations remain stuck with siloed data and disconnected tools. We discuss why the next phase centers on agentic AI systems, private infrastructure, and deep workflow integration, where intelligence becomes embedded into the core of the business. 

 In this episode, we trace the evolution of operations roles—from SysAdmins managing servers, to DevOps accelerating delivery, to SREs ensuring reliability, and now to the rise of the AI Ops Engineer. We explore how agentic AI, automation, and AIOps are reshaping responsibilities—shifting humans from manual firefighting to overseeing autonomous systems. Tune in to understand the skills, mindset, and tools needed to thrive in the next phase of enterprise operations. 

 In this episode, we dive into the escalating rivalry between Google Gemini and OpenAI, as the AI race hits a critical “code red” moment. We compare their models, ecosystems, and strategic moves—from multimodal capabilities and developer platforms to enterprise adoption and agentic workflows. More importantly, we unpack what this high-stakes competition means for businesses, builders, and the future of AI innovation. Tune in to understand who’s leading, where the real differentiation lies, and how enterprises should position themselves amid the fast-moving AI landscape. 

In this episode, we unpack how AWS re:Invent has evolved into a major launchpad for agentic AI. From new foundation model offerings and AI-native cloud services to tools that enable autonomous agents at scale, AWS is positioning the cloud as the backbone for the next wave of enterprise AI. We explore the key announcements, architectural shifts, and what they mean for builders, CIOs, and enterprises preparing to deploy agentic AI in production.