AI at the Edge: What's Working for Frontline Workers (and What's Not) | Justin Griffith, StayLinked

The State of Enterprise MDM/UEM in 2026 (feat. Dipesh Hinduja, Stratix Corporation)

Brett Cooper sits down with Dipesh Hinduja, Senior Director of Mobile Solutions at Stratix Corporation, to break down the state of enterprise mobile device management in 2026.  Stratix is the largest pure-mobility managed services provider in the country, managing millions of devices across their Mobile Operations Center, and they've partnered with BlueFletch for over 15 years. They cover how frontline device management differs from knowledge worker endpoints, why security models built for corporate laptops are finally reaching shared-device environments, and the real operational burden most companies underestimate when deploying an MDM at scale (including those 2 AM change windows nobody wants to own). Other topics include mixed-fleet vs. single-OEM strategies, Samsung's foldable play for field workers, whether BYOD is dead for frontline teams, whether MDM is truly a commodity, and how Stratix guides enterprise customers through tiered MDM selection, from OEM-specific tools like Knox Configure up through full enterprise platforms like Omnissa, SOTI, and Intune.

AI in Healthcare: What's Ready, What's Next, & What's Not

Every healthcare conference in 2026 has the same message: AI is the answer. But is it?  Brett Cooper and Lee DeHihns break down what's actually working, what's still hype, and who's looking out for patients when the technology moves faster than the guardrails. In this episode: → Augmenting vs. replacing: Where AI fits in a doctor's toolkit today (and where it doesn't) → Shadow AI: Clinicians are already using unapproved tools, and the HIPAA risks are real → Patient advocacy: How patients are using AI to prep for appointments, decode insurance forms, and get second opinions → The healthcare CIO's dilemma: Where to invest limited budgets when 60% of hospitals run at a loss → Why "buy a screwdriver, look for screws" is the wrong approach to AI adoption Brett and Lee draw from months of healthcare conferences, real doctor visits, and frontline conversations to separate signal from noise.

AI at the Edge: What's Working for Frontline Workers (and What's Not) | Justin Griffith, StayLinked

AI is supposed to transform the frontline. But in warehouses, hospitals, and retail stores, the math doesn't always work. Brett Cooper talks with Justin Griffith, CTO of StayLinked, about what AI at the edge actually looks like when it hits real operations. Justin's team has spent over a decade studying technology adoption in environments that run on terminal emulation built in 1969 and still power 70% of the world's warehouses. They cover the three main edge AI use cases: vision, voice, and workflow automation, and why each one hits a different wall. Vision AI drains batteries too fast for full-shift use. Voice AI adds inference latency that warehouse workers can't afford. And workflow automation requires WMS integrations that take years and carry existential risk. Justin frames the core problem: AI right now is a solution in search of a problem. For the middle 80% of the market (i.e. companies that need technology to work and need their investment to see a return) AI hasn't cleared the barrier of viability yet. The top 10% can afford to experiment. The bottom 10% can't afford to move. Everyone else is stuck calculating whether the juice is worth the squeeze. They also dig into data ownership, the OEM hardware arms race, why memory prices have tripled, and what happens when a robotics company turns out to be a data company in disguise.

MODEX 2026 Recap: What's Actually Changing in Warehouse Technology

MODEX 2026 just wrapped at the Georgia World Congress Center in Atlanta: 4 million square feet, 6,000 exhibitors, and a clear signal that the warehouse industry is in the middle of a fundamental shift. In this episode of The Frontline Mobility Edge, Brett Cooper and Richard Makerson break down their top 8 takeaways from the show floor, covering everything from robotic forklifts to AI-powered workflows to why one warehouse manager is ripping out RFID in favor of cameras. → Why the warehouse conversation has shifted from products to systems, and why vendors that can't play in an orchestrated ecosystem are getting left behind → Same problems, different maturity levels: why there's no one-size-fits-all in warehouse tech → AI is no longer a marketing buzzword. It's embedded infrastructure driving real workflow improvement → Vision technology is advancing fast: LIDAR, drones doing shelf inventory, cameras replacing RFID for tracking → Frontline mobility is getting smaller, smarter, and more hands-free with AI on the edge → Robots are everywhere, but humanoid robots in the warehouse are still a question mark → Buyers care about stubborn operational pain, not flashy demos, and BlueFletch's agentic login demo hit that nerve → Don't boil the ocean: one warehouse veteran's advice on solving problems one bite at a time → The flexibility vs. throughput debate: is the industry prioritizing smarter over faster? Whether you run a warehouse, manage a supply chain, or make technology purchasing decisions for frontline operations, this is a ground-level look at where the industry is heading in 2026 and beyond. Learn more about BlueFletch: https://bluefletch.com Request a demo: https://bluefletch.com/book-a-demo/ #MODEX2026 #WarehouseTechnology #SupplyChain #Robotics #AIinWarehousing #FrontlineWorkers #EnterpriseMobility #WarehouseAutomation #FrontlineMobilityEdge #BlueFletch #ManufacturingTech #LogisticsTech

From Barcode to Digital Identity: The Future of Warehouse Tracking & RFID (feat. Dan Quagliana)

Most warehouses still run on 1D barcodes, but the economics and regulations have finally shifted. In this episode of the Frontline Mobility Edge, Brett Cooper sits down with Dan Quagliana from Seagull Software (BarTender) to break down what's actually driving RFID adoption, how track and trace is evolving beyond simple inventory counts, and why 110 billion labels per year is now an AI-ready data asset. → Why companies are consolidating labeling systems to cut costs in an unstable economy → How FSMA, MOCRA, and the EU Digital Product Passport are forcing supply chain visibility → The GS1 Sunrise initiative and the shift from 1D to 2D barcodes by 2027 → RFID tag costs dropping below 5 cents and what that means for mid-market adoption → Real-world deployments: Chipotle's RFID food safety program with Zebra and Avery → Getting started with RFID track and trace for under $10,000 → How BarTender is building agentic AI interfaces on top of labeling data Whether you manage a warehouse, distribution center, or retail supply chain, the labeling layer is becoming the foundation for operational intelligence, not just identification. Learn more about BlueFletch: https://bluefletch.com [https://www.youtube.com/redirect?event=video_description&redir_token=QUFFLUhqa0UxTENaMmN5NVlQTXpieUdnOEJqMmJiNUEyQXxBQ3Jtc0tra0o0MUN1YWE4dnVseVQ0QVFESGN2QlZBUUdrRVNPSWxBOEo0YXNzN1RONGJfMmI0N3ZfSE5ZREM3T2h3ajd3YXVSSW5ETDhVR21YT2RkdHVMTkcyRjFTS3M4OGJUVkVQNG9oS1MxeXhkYWpwZElTRQ&q=https%3A%2F%2Fbluefletch.com%2F&v=Q6576wAFKKI] Learn more about BarTender: https://bartendersoftware.com [https://www.youtube.com/redirect?event=video_description&redir_token=QUFFLUhqbWd1SWVqTE1RV0dUU1dpcU5HcmI4clRjSm5qUXxBQ3Jtc0tueXJzZW9iZ3kzWGVCdUN4TWN6WEd5bFVjWC1fS2VVanJLdkdqc1JURTAwZFNHNExLVVdKWWVmMk5IUU1NczFNdnI4eDZKWERXYml6bTJuVlA4MWtoR3BOS3QyLTVmekJRVXR3QVJqZk5TdjlZS1RaTQ&q=https%3A%2F%2Fbartendersoftware.com%2F&v=Q6576wAFKKI] Request a demo: https://bluefletch.com/demo [https://www.youtube.com/redirect?event=video_description&redir_token=QUFFLUhqbERTbEY5VTNReVJFZUdBQWx0SFVjNlBRQmpLd3xBQ3Jtc0ttTHk4MHJDZlBuMVdFU2xhREsxaHlDZTFmbS1JYXBRdnRzRElzck1BQ0pucFhqWVpWWlJBdElqZWdGdXZmNHJZcXVmRDFSX2kwMXRwdk14RUswOHV1aGpfZTFjdjBBUGc5MlJaNEVXazNPU2pJazhXTQ&q=https%3A%2F%2Fbluefletch.com%2Fdemo&v=Q6576wAFKKI]