How much room does finance actually have for AI to be wrong? That question sits at the center of this Enterprise Edge podcast conversation with Georg Glantschnig, Corporate Vice President for Agentic ERP at Microsoft Dynamics 365. (Spoiler: answer is “little to none.”)

The Enterprise Edge CEO and Founder, Mark Vigoroso leads a discussion that digs into a sharp asymmetry: people forgive a colleague's mistake but not an algorithm's - and in finance, where the numbers are binary and every posting needs a trace, that asymmetry drives real architecture decisions.

You'll hear how guardrails get built from deterministic business logic and company policy rather than left to chance, why accountability never actually shifts onto the agent itself, and how a move from code-first to model-first design is reshaping what an ERP system even is.

There's also a clear-eyed look at the messy economics of consumption-based pricing replacing seat licenses, why month-end close could be the proving ground for continuous-close finance, and what emerging roles like "finance agentorchestrator" suggest about where accounting work is headed.

For anyone trying to separate real operational leverage from AI hype in enterprise systems, stream this episode now and be sure to LIKE, SHARE and COMMENT!

"Three years ago... our success metric was OTIF. Andtoday it's the in-stock. It was a metric known by probably one or two people - I didn't know about it. And today we had our monthly tissue sector reunion, and we mentioned that our in-stock improved by 2%. Everybody was applauding. It's the first time anybody applauded for in-stock results." -- Xavier Duprat, VP, Supply Chain Planning & Fulfillment, Cascades.

Full podcast episode, "Autonomous Decisions at Scale:Making AI Work in the Real World" - https://open.spotify.com/episode/2PmaO3Swf84UXAWSj8yXaE?si=eab7ad0af0e940aa

A DEMO of Supply Chain Planning Reimagined in action!: https://events.sap.com/tee-supply-chain-planning-reimagined/en_us/home.html

Every enterprise leader is chasing their first AI win - but almost nobody is asking what it costs to run that win at scale, every day, forever.

On this episode of The Enterprise Edge podcast, Red Hat Chief Product Officer, Ashesh Badani joins us a month removed from Red Hat Summit 2026 in Atlanta to make the case that "token economics" isn't a buzzword - it's the next architectural decision CIOs can't afford to make too late.

Badani, who watched Sun Microsystems lose its biggest bet to the very open-source wave Red Hat later rode to the top, brings two decades of pattern recognition to a conversation that ranges from...

-- why Red Hat acquired Neural Magic and bet on vLLM for inference efficiency...

-- to the honest tradeoffs between proprietary frontier models and open infrastructure...

-- to the one question from a customer that still catches him off guard.

It's a rare, unscripted look at how the company that helped define open source for the last era is now trying to define what governable, economically sustainable AI looks like for this one - straight from the product chief writing the playbook.

Stream it now and be sure to LIKE, SHARE and COMMENT!

“If you build enough confidence that you say, 99% of the time, this is right - and you want to say, let's just have it go automatically - that's the goal. People will build that trust over time and you will become more autonomous...” -- Joel Beal, CEO & Co-Founder at Alloy.ai. Full podcast episode, "Autonomous Decisions at Scale: Making AI Work in the Real World"GET A DEMO of Supply Chain Planning Reimagined in action!: https://lnkd.in/eXqZBrFh

What happens when the autopilot turns on, and a supply chain planner can't explain why it made the call it just made? In this episode of Supply Chain Planning Reimagined – brought to you by The Enterprise Edge® in partnership with SAP - Xavier Duprat, VP of Supply Chain Planning at Cascades, and Joel Beal, CEO of Alloy AI, get brutally honest about where autonomous supply chain decisions actually stand today: not in a sandbox, but across 10 North American tissue paper plants, 10,000 retail store locations, and a freshly launched replenishment agent that went live the week of this recording.

They unpack…

• why "on-time and in full (OTIF)" is the wrong metric to optimize for

• how a single in-stock KPI nobody knew three years ago is now getting a standing ovation in monthly leadership reviews

• why 15% forecast accuracy improvements are table stakes compared to what agentic AI is about to unlock

• why the real architectural question isn't monolithic vs. multi-agent - it's whether your organization has built enough trust to let go of the wheel.

If you're a supply chain leader navigating the gap between proof-of-concept and production-scale autonomy, this conversation is your roadmap.

Stream it now, and be sure to LIKE, SHARE, and COMMENT!

Get a demo of Supply Chain Planning Reimagined in action: https://events.sap.com/tee-supply-chain-planning-reimagined/en_us/home.html

Everyone with a dog in the enterprise AI hunt is obsessing over GPUs, data centers, and foundation models - but Chris Stansbury, President & CFO of Lumen, says they're all missing the nervous system. In this episode of The Enterprise Edge® podcast, Chris makes a compelling case that the real bottleneck of the AI era isn't compute - it's data movement. He gives a candid account of how Lumen quietly transformed from a debt-laden legacy telco into the network backbone powering some of the biggest hyperscaler AI buildouts in the world, why 1,728 fibers through a single conduit is a strategic moat, and what the Alkira acquisition signals about where enterprise AI infrastructure is actually heading. Whetheryou're a CIO evaluating AI readiness, a CFO thinking about infrastructure ROI, or an investor still sleeping on networking, Chris leaves you with a piece of advice you can’t ignore: "If your data can't move, your AI doesn't work." Stream the episode now and be sure to LIKE, SHARE and COMMENT!

Four major enterprise software announcements over the pastweek - from SAP, Intuit, Workday, and IBM - and on the surface they look unrelated. But dig deeper and they're all pointing at the same shift: enterprise AI value is no longer about which company has the smartest model, it's about which platform owns the operational context, trusted data, and execution workflows that make AI decisions actually stick. SAP is building a governed autonomous enterprise layer. Intuit is quietly becoming an AI-native ERP for the mid-market. Workday is betting on workflow invisibility insideMicrosoft 365. And IBM is making a surprisingly candid argument that most AI transformations are failing not because of bad technology, but because oforganizational drag. In this episode of EdgeBytes, Mark Vigoroso connects the dots across all four - and what emerges is a sharper picture of where enterprise software power is concentrating, and what CEOs, CFOs, and CIOs should be doing about it right now. Stream the episode now, and be sure to LIKE, SHARE, and COMMENT!

(https://lnkd.in/eXqZBrFh) | “… now with AI - and are rolling this out as we speak - we can do that whole [order volume and frequency] process for you. We can write that initial email. We can send it. We can wait for the response from the retailer. When they come back for clarification, we have all the data to give them clarification. We don't need a person to do that. I think that's where we're seeing a lot of exciting changes from recommendations to actual action. [Retailers] are going to be interacting back with their suppliers and you're going to end up with two agents going back and forth with their respective information. That is a very real thing that we are seeing customers use today. This is not in the future. And I think we're scratching the surface of what's going to be coming in the coming months.” -- Joel Beal, CEO & Co-Founder at Alloy.ai. Stream the full podcast episode here: https://youtu.be/1VPdWRbDR4k?si=tlFwuZz1_eZu9GS5