If your supply chain planning still runs on monthly forecastreviews and flat-file data dumps, you're already behind - and this podcast explains exactly why. Supply Chain Planning Reimagined is a special series from The Enterprise Edge® in partnership with SAP, and episode 1 - The Vision Shift: Reimagining Supply Chain Planning -  brings together Xavier Duprat, VP of Supply Chain Planning at Cascades (a packaging and hygiene giant running SAP IBP since 2016), and Joel Beal, CEO and Co-Founder of Alloy.ai, whose platform ingestsreal-time POS and inventory signals from over 450 retailers. Together, they dismantle the myth that better supply and demand forecasting algorithms are the answer - the real boon, they argue, is better data, delivered daily. You'll hear how Cascades overhauled its entire sales and operations planning (S&OP) process across 25 North American plants and grew its business by 10%, while simultaneously improving retail in-stock rates, how AI agents are now catchingdistribution glitches in retailer systems that human teams would have missed entirely, and why the best supply chain professionals of the next decade won't be replaced by AI - they'll be the ones who learn to manage it. This isn'ttheoretical. It's a real supply chain planning transformation, already underway, with receipts. Stream it now, and be sure to LIKE, SHARE, and COMMENT! Trying to modernize your Supply Chain Planning? --https://events.sap.com/tee-supply-chain-planning-reimagined/en_us/home.html

Salesforce’s latest moves - Headless 360, Agent Fabric, FDE,and AgentExchange - aren’t product updates, they’re a coordinated shift in how enterprise software gets work done. The company is collapsing the distance between intent and execution by making CRM callable, composable, and governable by agents - not humans. With over $72B in RPO, Agentforce ARR up 169% year over year, and real-world deployments claiming production-ready agents in as littleas 12 days, Salesforce is betting that the next enterprise moat isn’t model performance - it’s execution density: how fast you can turn context into measurable work at scale. The competitive battleground is no longer UI or even AI capability in isolation - it’s whether a platform can orchestrate data,workflows, governance, and distribution into durable economic outcomes. Stream this timely episode now, and be sure to LIKE, SHARE, and COMMENT!

Mike Gugluizza, Director of Enterprise Business Applications at Accuray, has a masterclass to share on exactly how to unlock the power of AI - you have to earn it. Accuray builds AI-driven radiotherapy devices that target cancer cells to within one one-hundredth the width of a human hair, leaving surrounding healthy tissue untouched, and their on-device AI tracks tumor movement in real time by predicting how a patient's body will move based on breathing patterns. But this episode of The Enterprise Edge podcast isn't just about an innovative medical device - it's about the disciplined internal journey at $500M Accuray that made enterprise AI adoption possible. Mike walks through how Accuray escaped a decade of crippling over-customization on Microsoft Dynamics, spent nine months just cleaning their data before going live on SAP S/4HANA, and now sits at a remarkable 95% fit-to-standard - meaning they can absorb upgrades, adopt SAP Joule, and build AI agents without the technical debt that's quietly strangling most of their peers. He and team split the SI decision from the AMS decision and now enjoy a flexible partnership with NTT Data around ongoing SAP functionaland technical support, maintenance, and optimization. Mike is refreshingly candid about the gap between what AI vendors promise and what actually happens when you lift the hood. If you're an enterprise technology leader trying to figure out how to build a foundation that doesn't collapse the moment AI arrives, stream this episode now, and be sure to LIKE, SHARE & COMMENT!

What does it take to do what the entire medical establishment said couldn't be done? In this episode of The Enterprise Edge podcast, Dr. John Oberg - founder and CEO of Precina Health - lays out how he and his partner achieved something remarkable: in a pilot study of 50 Type 2 diabetes patients from rural, low-income communities, 49 reached full glycemic control within 12 weeks, and 83% stayed in control for the next two years. That's lowering A1C by one to one-and-a-half percent per month - compared to roughly 1% per year from GLP-1 medications. But the story doesn't stop at the clinic. Dr. Oberg reveals how Salesforce's Agentforce became the infrastructure backbone that let Precina scale without becoming a tech company - handling everything fromHIPAA-compliant billing automation to AI-powered provider training - while keeping the patient-provider relationship at the absolute center of care. He also takes on the AI-and-jobs debate head-on, offering one of the most grounded and historically informed perspectives you'll hear. If you're a healthcare executive, an enterprise technology leader, or anyone trying to make sense of where agentic AI is actually creating real-world value, stream this episode now, and be sure to LIKE, SHARE, and COMMENT!

What does it take to lead digital transformation inside a $900 million health system without losing your mind or your mission? In this episode of The Enterprise Edge, host Mark Vigoroso sits down with John McDaniel, CIO of Trinity Health, who is doing exactly that: running parallel implementations of Epic and Workday, decommissioning over 100 legacy applications, and building an AI governance framework that draws a precise, principled line between administrative AI(which Trinity is aggressively deploying to recover an estimated $36 million in ambulatory undercoding) and clinical AI (where FDA vetting is non-negotiable). McDaniel brings a rare perspective - nearly five decades in enterprise technology, starting at NCR in 1977 - and distills it into ideas that cut through the hype: "thin slicing" every vendor claim down to its root cause impact, renaming IT the "Digital Transformation Group" to signal a fundamental shift in how technology serves the organization, and insisting that successful implementations are won or lost not on thesophistication of the technology, but on process design, data readiness, and stakeholder alignment. If you're a CIO, an aspiring technology leader, or anyone navigating the white-water rapids of enterprise AI - in healthcare or any other industry - join us for this practical episode. Stream it now, and LIKE, SHARE and COMMENT!

Three major enterprise tech vendor moves landed within daysof each other: SAP acquiring Reltio, IBM closing an $11 billion deal for Confluent, and IFS scrapping user-based pricing entirely - and the common thread is the removal of friction en route to enterprise AI value realization. This episode of EdgeBytes breaks down what each move actually means: SAPbetting that data integrity, not the AI model itself, is the real competitive moat; IBM assembling a real-time data backbone for its watsonx stack; and IFS making a fundamental argument that in an agentic world, you price the work, notthe workers. Taken together, they point to the same conclusion: enterprise AI stalls when cost, data, or execution create friction, and the tech vendors that remove that friction fastest will lead the next era of enterprise transformation.Stream this timely episode now, and be sure to LIKE, SHARE, and COMMENT!

In this EdgeBytes episode, host Mark Vigoroso decodes threequiet but seismic operator moves - OpenAI's new revenue leadership hire, Atlassian's bold decision to cut 10% of its workforce to self-fund AI investment, and MongoDB's strategic CRO appointment - and connects the dots toone unavoidable conclusion: enterprise AI has crossed the threshold from experimentation to economic accountability, and the tech buyers and operators that don't reposition now will be left managing the gap between what they spent and what they actually got. Backed by hard data, including a global AI investment trajectory surpassing $500 billion, Vigoroso delivers the kind of pattern recognition that turns headline noise into boardroom-ready clarity, whether you're a CEO rethinking where AI sits in your value chain, a CFObuilding governance around consumption-based models, or a CIO architecting for speed to scale. Stream it now, and be sure to LIKE, SHARE, and COMMENT!

If you want to understand where enterprise software isactually heading - not the marketing narrative, but the structural reality - this EdgeBytes episode connects the dots: a $100M-valued startup redefining software as a prompt, a projected $600B M&A surge compressing the mid-market, and NVIDIA quietly positioning itself as the foundation beneath it all. The Enterprise Edge Founder & CEO, Mark Vigoroso breaks down what this convergence means for control of data, speed of execution, and the future economics of enterprise platforms - backed by real market data from McKinsey and Deloitte and grounded in how leading vendors like Microsoft, SAP, Salesforce, and ServiceNow are actually deploying AI today. If you’re a CEO, CFO, CIO - or a vendor trying to stay relevant - this isn’t optional viewing. It’s a clear, fact-based lens on who’s gaining leverage, who’s losing it, andwhat you need to do next to keep your enterprise operating at the pace the market now demands. Stream it now, and be sure to LIKE, SHARE, and COMMENT!

Beneath IBM’s recently announced expanded NVIDIA collaboration and a quantum-centric supercomputing blueprint lies a single, disciplined strategy: own the orchestration layer of enterprise AI, where infrastructure, models, governance, and data converge, and then extend thatcontrol point into the next era of computing before competitors can follow. While hyperscalers commoditize horizontal platforms and model providers chase consumption economics, IBM is betting on a narrower but more durable position - meeting enterprises where their data actually lives, embedding AI into existing workflows rather than demanding wholesale transformation, and quietly laying quantum architecture into enterprise systems long before it becomescommercially decisive. It's a time-arbitrage play, and the executives who recognize it - CEOs reframing AI as an operating model question, CFOs demandingP&L-traceable returns, and CIOs designing for hybrid interoperability - will be far better positioned than those still debating which model to buy. Stream this EdgeBytes episode now, and be sure to LIKE, SHARE and COMMENT!

In this episode of EdgeBytes from The Enterprise Edge®,Mark Vigoroso examines two recent announcements from IFS and Blue Yonder that highlight a structural shift underway in supply chain technology. As enterprises move beyond forecasting dashboards toward AI-driven systems thatobserve, decide, and execute in real time, the center of gravity is shifting from planning to operational action. With global transportation costs often consuming 5–10% of revenue and AI spending in supply chain projected to exceed $20B by 2028, platforms that compress the time between operational signal and financial outcome are becoming strategic assets. This episode unpacks how IFS.ai Logistics and Blue Yonder’s agentic AI architecture reflect that shift, what it means for competitors like SAP, Oracle, Microsoft, and Kinaxis, and why the next era of supply chain advantage will be defined by decision velocity, closed-loop execution, and economic resilience. Stream it now, and be sure to LIKE, SHARE and COMMENT!