The Next Frontiers of AI
with Scott Hebner
About the podcast
AI is still in its infancy, but innovation cycles and the pursuit of high-value ROI are advancing at warp speed. The ability to keep up will determine who leads, who lags, and who fails.
Join theCUBE Research principal analyst Scott Hebner and industry pioneers and experts to explore the latest advancements shaping the future of AI and how to prepare today.
episodes
Agentic AI – What is Hype, Myth, and Truth (#14)
In one of our most clarifying episodes yet, we sit down with Satya Nitta—renowned AI innovator and CEO of Emergence AI—to separate fact from fiction in today’s rapidly evolving Agentic AI landscape. The enterprise world is awash in buzzwords, bold claims, and conflicting narratives, from predictive, generative, and agentic AI, onward to an AGI future. It’s never been harder to know what matters—and what doesn’t. Satya helps us decode the signal from the noise. He shares what agentic AI really is (and isn’t), how enterprises should think beyond AI assistants to intelligent systems that can reason, act, and collaborate, and where the real frontiers lie.
EY: Charting the Agentic AI Adoption Curve
In episode #13 of The Next Frontiers of AI, host Scott Hebner sits down with Ken Englund, Americas’ Technology Sector Growth Leader at EY, to unpack the results of the latest EY Technology Pulse Poll—a revealing snapshot of how tech leaders are embracing agentic AI.
More than two years into the GenAI era, technology companies are setting the pace of rapid Agentic AI adoption, with 48% already deploying agentic AI in some capacity and over half expecting the majority of their AI deployments to be autonomous within two years. Furthermore, 81% are optimistic about the potential of Agentic AI. But what’s driving this momentum? And are these early movers securing a real competitive edge, or simply moving faster into uncharted territory?
Ken and Scott explore what motivates tech executives to pursue agentic AI, how organizations manage their investments and risks, what this shift means for the future of tech jobs, and whether this innovation curve will soon extend beyond the tech sector into other industries.
The Future of Marketing: Causal AI Agents That Think Strategically
In this episode, we sit down with Michelle Killebrew, founder of Pegasus Strategy Co, to explore the future of causal marketing agents—a game-changing opportunity for marketers. Michelle, a seasoned marketing executive renowned for her AI-driven approach to growth and innovation, shares insights gained from over two decades of experience leading marketing transformations at companies like IBM and NTT and now advises organizations on leveraging AI to drive go-to-market success.
We delve into the transformative potential of causal AI in marketing. Unlike traditional predictive and generative AI, causal AI uncovers the “why” behind customer behaviors, even as conditions change. Michelle shares how causal AI empowers marketers to think more strategically.
Join us in this enlightening conversation about how the advent of causal AI is reshaping the marketing profession, enabling businesses to move beyond surface-level insights and make data-informed decisions that drive meaningful results.
Agentic AI – Why Architecture Matters
In this episode of the Next Frontiers of AI, 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 dissect 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 insights about the importance of building a multi-layered architecture of AI agents.
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 fundamentally changes the nature of what software can do and how it is built. It is a must-watch conversation for anyone just getting started with agentic AI.
A Blueprint for Scaling a New Agentic AI Business
What does it take to build — and rapidly scale — a successful company in the era of Agentic AI? In this episode, we explore that question with Haoyu Zha, the Y-Combinator founder of HOAi, a fast-growing startup harnessing AI agents as digital workers to transform how homeowner associations (HOAs) operate, create value, and engage their communities. Founded in 2023, it turned real-world frustrations into an AI solution now adopted by major HOAs such as EJF Real Estate Services, Tyco Property Management, and CAMCO.
With the Agentic AI market projected to grow by nearly 45% CAGR through 2030, HOAi offers a rare case study on how to capitalize early on a breakout category. Their platform enables AI agents and human supervisors to partner, speeding up workflows and improving decision-making, making their solution fundamentally different from traditional business automation solutions.
Whether you’re a founder, investor, or tech strategist, this is your front-row seat to the blueprint for scaling a business in one of AI’s fastest-growing frontiers.
The Role of AppDev SDLC Platforms in the Era of 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?
As Agentic AI increasingly becomes central to business innovation, understanding how Software Development Lifecycle (SDLC) platforms intersect with AI development is becoming mission-critical for business and technology leaders. This market brief, informed by discussions with industry expert Paul Nashawaty on theCUBE Research’s “Next Frontiers of AI” podcast, explores the significance of SDLC methodologies within AI workflows, highlights potential challenges, and examines how software developer roles adapt to widespread AI adoption. We also explore the evolving role of software developers in the era of AI.
History’s Guide To The Future Of AI
“In episode #8 of the Next Frontiers of AI Podcast, I’m joined by Irving Wladawsky-Berger—MIT research affiliate, legendary IBM executive, and influential technology innovator. We explore how 50 years of transformative tech provides valuable insights for AI’s future. Drawing from Irving’s experiences shaping mainframes, PCs, client-server systems, e-business, cloud, IoT, and AI, we ask: are we watching the same movie again with new characters? Tune in!”
The Anatomy of a Decision-Making Agent
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 quickly realizes, 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, which has been informed by dozens of AI experts and pioneering companies. I am eager to hear your views!
Create Resilient Supply Chains with Causal AI
In the latest episode of the Next Frontiers of AI Podcast, hear from Ishansh Gupta, the lead data scientist for quality management at BMW Group. We discuss how advancements in AI are being used to create more resilient and trustworthy supply chains and manufacturing processes.
You’ll also learn more about the power of Causal AI, why Ishansh became an early Ph.D. in the rapidly expanding field, how he earned his management’s trust, and how he is now nurturing the next generation of AI and data science talent.
AI That Knows Why
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 new innovations in 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.
Next-Generation AI in Financial Services
n 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 Ratings, 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, and knowledge graphs and how Causal AI combined with RAG represents the next frontier for actionable, interpretable, and reliable AI decision-making.
Making AI Decisions Explainable
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.
The Ladder to Agentic AI
The AI landscape is evolving fast, and 2025 is shaping up to be the year of Agentic AI—where AI moves beyond task automation and prediction to goal-driven decision-making. But here’s the challenge: 90% of enterprises want to embark on this journey, yet only one in three know where to start.
On the latest Next Frontiers of AI podcast, we broke down the roadmap to Agentic AI adoption with a simple framework—the Ladder to Agentic AI
#1 – Predictions for AI in 2025
In this first episode of The Next Frontiers of AI Podcast, I am joined by my industry colleague Tim Sanders, VP of Research Insights at G2, to debate theCUBE Research’s predictions for AI in 2025. We begin 2025 grounded in the consensus that will see the rise of agentic AI. In our predictions, we won’t restate that widely held belief; instead, we will focus on what will shape Agentic AI. We foresee a year of advancements that will tackle various real-world barriers to AI adoption and elevate the playing field for enterprises to achieve higher ROI use cases. Join us for this informative conversation, and chime in to let us know what YOU think!
The On-Premises AI Challenge for Startups
Today’s AI startups are overly reliant on public clouds and risk missing the opportunity to bring AI to data that resides on-premises. Organizations increasingly want to bring intelligence to their proprietary data that resides on-prem, to do training and inference under their own control. Startups’ primary route to market is either through hyperscaler marketplaces, which typically de-emphasize on-prem deployments, or via direct sources. When going direct, startups lack the credibility and go to market breadth to scale efficiently. As such we believe an opportunity exists for startups to partner with infrastructure leaders that have a strong on-premises installed base and both the talent and go to market expertise to penetrate traditional enterprises.
