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Inside the Shift to Agentic IT Ops - with Assaf Resnick of BigPanda
Enterprise IT teams are drowning in alert volume as cloud, microservices, and CI/CD pipelines outpace what human operators can process. In this episode, Assaf Resnick, CEO and Founder at BigPanda, examines how agentic AI can shift IT operat
Managing AI Agents at Scale Across BFSI Operations - with Yoav Naveh of Reindeer AI
As financial institutions move beyond AI experimentation, the primary bottleneck is no longer capability; it is governance. In this episode, Yoav Naveh, Co-Founder and Co-CEO at Reindeer AI, examines how enterprises can operationalize agent
Why Data‑Driven Efforts Stall in Fragmented Environments - with Jason Loomis of Freshworks
Enterprise AI adoption is moving faster than security and governance frameworks can follow, forcing organizations to make difficult trade-offs between competitive urgency and operational risk. In this episode, Jason Loomis, CISO at Freshwor
From Connected Agents to Collective Intelligence with Guillaume De Saint Marc of Outshift by Cisco
As enterprises move from single to multi-agent AI deployments, a coordination infrastructure problem is emerging that connectivity protocols alone cannot solve. In this episode, Guillaume de Saint Marc, VP of Engineering at Outshift, examin
Building Compute Foundations for the Physical Economy - with Drew Henry of ARM
A widening gap between mature digital compute and the newly awakening physical world is forcing enterprises to rethink how they embed AI into logistics, manufacturing, and other high‑stakes environments where errors carry real operational r
AI Copyright Risk in Financial Services and the Limits of Legacy Licensing - with Roanie Levy of CCC
A surge in AI adoption is creating a rights gap inside financial institutions, where everyday workflows now generate copyrighted reproductions at a scale existing governance models were never built to manage. In this episode, Roanie Levy, L
How Financial Services Leaders Operationalize Safe AI - with Dr. Oscar A. Rodriguez of Citi
The rapid expansion of AI in financial services is creating a widening gap between enterprise ambition and the operational readiness required to deploy systems that are secure, compliant, and trusted. In this episode, Dr. Oscar A. Rodriguez
Closing the Decision Gap in Volatile Supply Chains - with Prasad Mahajan of Optilogic and Dr. Gopalendu Pal of Target
Supply chains are moving from predictable planning cycles to a reality where volatility demands continuous redesign and faster decision‑making. In this episode, Dr. Gopalendu Pal, Director of Operations at Target, and Prasad Mahajan, Senior
Why AI in Document-Heavy Workflows Fails Without the Right Foundation - with Sumedh Chaudhary of IBM
Enterprise AI initiatives consistently break down in document-heavy environments, not because the underlying models are inadequate, but because fragmented data silos, page-break context loss, and uncoordinated extraction tools erode the sem
AI-Empowered Customer Service, From Hype to Scalable Operations - with Shri Nandan of Comcast
Significant enterprise investment in AI-driven customer service is producing inconsistent outcomes — and the gap between deployment ambition and measurable business value remains striking. In this episode, Shri Nandan, VP of AI Products and
Unified Predictive Decision Making for Retail Growth - with Felix Hoffmann of 7Learnings
Retailers managing pricing, marketing, and inventory through separate teams with separate data are losing margin not to market volatility, but to decisions that were never designed to work together. In this episode, Felix Hoffmann, CEO at 7
How Commerce Leaders Avoid Renewal Traps and Vendor Drag - with David Cost of Rainbow Apparel
Enterprise software costs are rising while vendor performance often isn't, and AI has fundamentally changed what enterprises can credibly threaten to build in-house. In this episode, David Cost, Chief Digital Officer at Rainbow Apparel, exp
Moving from Delayed Data to Event-Level Visibility - with Alex Curran of Aptitude Software
Finance teams are being asked to influence outcomes in real time while operating on architectures built for delayed, aggregated, and heavily reconciled data. In this episode, Alex Curran, CEO at Aptitude Software, examines how finance funct
Scaling Agentic AI in CX Without Losing the Customer - with Shri Nandan of Comcast
As enterprises move agentic AI from controlled pilots into production customer-facing workflows, the gaps in data continuity, governance, and human-agent coordination become the deciding factors in whether AI scales or stalls. In this episo
How Vertical AI Achieves Defensible Accuracy - with Steve Hasker of Thomson Reuters
The rising use of general‑purpose models in regulated environments is creating a widening gap between what AI can generate and what fiduciary professionals can safely rely on. In this episode, Steve Hasker, CEO at Thomson Reuters, examines
Fixing the Decision Speed Gap in Modern Supply Chains - with Joris Wijpkema of Optilogic
Supply chain organizations still struggle to respond to major disruptions because their core planning systems can't evaluate structural options or network‑level changes at the speed required. In this episode, Joris Wijpkema, Executive Vice
How Enterprise Leaders Should Measure the ROI of AI - with Darko Todorovic of HTEC
Enterprise AI investments frequently succeed at the pilot stage and collapse at scale, not because the technology fails, but because the organizational conditions for adoption were never established. In this episode, Darko Todorovic, CTO at
Modernizing Targeting to Close the Field Execution Gap - with Damion Nero of Daiichi Sankyo
Pharma commercial teams are generating more data than ever, but field intelligence is still arriving too late to change rep behavior before the engagement window closes. In this episode, Damion Nero, Global Head of Statistics at Daiichi San
How Unified Context Turns AI Into Real Enterprise Performance - with Ravi Marwaha of Arango
Enterprise AI agents fail consistently in production, not because of model limitations, but because they lack a live, temporally aware context layer grounded in the actual current state of the business. In this episode, Ravi Marwaha, Chief
AI Models as a Commodity and Why Data Foundations Decide Who Wins - with Guillermo B. Vazquez of SAP
Enterprise leaders face a growing gap between rapid AI advancement and the fragmented data and processes that limit their ability to operationalize it. In this episode, Guillermo Vazquez, Chief Architect in the Business Transformation Servi
From Overwhelm to Working AI in Pharma and Life Sciences - with Art Shectman of Elephant Ventures
Regulatory volatility, scientific‑grade context requirements, and entrenched legacy processes are creating a level of operational complexity in pharma that makes even high‑value AI initiatives difficult to move from concept to production. I
How AI Is Reshaping the Way Enterprises Build Software - With Tim Sears of HTEC
Individual AI productivity gains are already here, but they are uneven, and they are not the main event. In this episode, Tim Sears, Chief AI Officer at HTEC, argues that the real transformation in software development will arrive when AI b
How Industrial Service Leaders Are Closing the Knowledge Gap Before It's Too Late with Mike Hughes of Peak International Group
The skilled labor crisis in industrial equipment service is not a future problem; it is eroding operational performance now, as retiring engineers take decades of institutional knowledge with them and incoming technicians cannot fill the ga
Human-Centered AI Development Strategies for CPG Leaders - with Shaje Ganny of Procter & Gamble
A widening gap has emerged between the speed of AI innovation and the ability of large enterprises to deploy it responsibly, leading many organizations to repeat avoidable mistakes in scaling. In this episode, Shaje Ganny, Author, Guest Lec
The Pricing Shift Reshaping Enterprise AI Spend - with Adam Mansfield of UpperEdge
The rapid shift from seat‑based licensing to hybrid and consumption‑based AI pricing has made technology spend significantly harder for enterprises to predict and control. In this episode, Adam Mansfield, Practice Leader at UpperEdge, exami
Why the Way AI Feels Is as Important as How It Works - with Carsten Wierwille of HTEC
Enterprise AI initiatives treat design as a finishing step. Carsten Wierwille, Chief Product & Design Officer at HTEC, argues that this is a strategic mistake, and one that explains why so many AI investments produce tools that work technic
How Vision AI Scales Across a Manufacturing Network - with Jeff Witt
Computer vision implementations in manufacturing never advance beyond the pilot phase — not because the technology fails, but because deployment is treated as a software problem rather than an operational one. In this episode, Jeff Witt, Di
AI Improving Dose Decisions and Patient Outcomes in Oncology- with Shefali Kakar of Novartis
The growing use of AI‑driven modeling in clinical development is exposing how limited traditional, single‑study dose selection and patient assessment methods have been for complex oncology programs. In this episode, Shefali Kakar, Global He
Breaking Free from AI Overwhelm in Banking and Financial Services - with Art Shectman of Elephant Ventures
The pressure on financial services AI leaders to show board-level results has intensified — yet the pace of vendor pitches, shifting tooling stacks, and stalled pilots has made action feel riskier than waiting. In this episode, Art Shectman
Fixing the Pilot‑to‑Production Gap in Enterprise AI - with Ronny Fehling of HTEC
The reason enterprise AI programmes stall is not the technology — it is the sequence in which decisions are made before and after the pilot succeeds. In this episode, Ronny Fehling, Chief AI Transformation Officer at HTEC, examines why AI i
