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Your next hire shouldn’t spend their first week waiting on a laptop while projects sit in limbo. In this episode, we pull back the curtain on the $5B device lifecycle management market and explore how modern IT teams are shipping fully provisioned devices worldwide, recovering assets cleanly, and protecting data without becoming a global logistics operation.

Francis Osifo, third-time founder and CEO of Rayda, breaks down how his team delivers day one ready devices in as little as five business days across 170 countries. By integrating directly with HR systems, standardizing device catalogs, and automating provisioning and returns, Rayda removes the friction that slows global hiring. We dig into the real cost of devices stuck in customs, the offboarding mess created by buying hardware from consumer retailers, and why Apple Business Manager and MDM platforms are the backbone of enterprise control.

The conversation gets practical fast. We cover how to close the HR IT gap with automated triggers and clear SLAs, how to maintain real time visibility into assets across borders, and how to avoid the compliance risks of forgotten devices floating in the wild. Francis also shares why IT must evolve from a perceived cost center into a strategic growth enabler and how seamless onboarding directly impacts culture, productivity, and retention.

Looking ahead, we explore the rise of agentic AI in IT operations. From handling routine tickets and password resets to orchestrating software access and even device procurement through intelligent automation, this next wave of tooling is set to free small teams to focus on security, architecture, and innovation. For lean IT orgs supporting hundreds of employees per admin, this is how scale actually becomes manageable.

If you’re hiring globally, struggling with device sprawl, or looking to show real ROI from IT operations, this conversation is a must listen. Subscribe, share it with a teammate who’s tired of onboarding fire drills, and drop a review with your toughest device challenge so we can tackle it next.

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Patch Tuesday doesn’t just deliver updates. It delivers pressure. Suddenly, you’re staring at a mountain of fixes, racing to decide what ships now, what waits, and how to keep a single reboot from blowing up your entire week. In our latest conversation with NinjaOne, we dig into what practical AI actually looks like when you’re responsible for millions of endpoints and have zero tolerance for downtime.

Forget the buzzwords. We walk through how real telemetry, public sentiment signals, and human-in-the-loop workflows remove latency from patching, shrink rollbacks, and turn operational chaos into confidence. We also tackle a long-standing pain point: messy asset data. When your CMDB is noisy, everything downstream starts to wobble. Licensing, vulnerability management, compliance, and budgeting all take a hit. You’ll hear how AI can reconcile unstructured inputs and normalize device records to finally deliver a clean system of record without an army of spreadsheet warriors.

From there, we draw a clear line between smart automation and risky overreach. Full autonomy sounds great on paper, but legal and technical realities demand a pragmatic approach. We discuss a future where AI drafts the policies and packages while experts validate the results, allowing repeatable, low-risk issues to close automatically.

There is also encouraging momentum in the public sector. Streamlined FedRAMP pathways and growing reciprocity across defense impact levels are speeding up adoption and helping agencies move closer to private-sector velocity. Combined with budget pressure, this is accelerating the move toward a Digital Operations Center with centralized visibility, fewer tools, and outcomes you can actually measure.

We wrap with a look ahead to what resilience means in 2026. Think performance you can prove through deep instrumentation and a surge in mobile device management as tablets and phones become the new frontline. If you’re ready to replace ritual scream tests with data-driven confidence and finally align operations and security in real time, this conversation lays out a path you can start using today.

Check out the full episode, share it with the teammate who owns your patching or MDM, and let us know in the comments: what is the one workflow you want to see automated next?

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When the CES show floor goes dark and the crowds thin out, the real conversations begin.

We sat down with Dassault Systèmes’ Fred Vacher and Abhishek Bali to explore how early-stage startups turn flashy demos into certified, manufacturable products. Using virtual twins, hands-on mentorship, and a global partner ecosystem, they walk founders through the hard part of innovation, moving from prototype to production. If you’ve ever wondered why some ideas stall while others scale, this conversation breaks down the journey step by step.

We dig into the mission of the 3DEXPERIENCE Lab and how it works hand in hand with SOLIDWORKS for Startups to support founders across design, simulation, compliance, and industrialization. Many teams join for CAD and quickly discover a full-stack platform that includes multiphysics simulation, quality systems, clinical workflows, data management, and real-time collaboration. The mentorship layer adds a critical advantage: expert design reviews, manufacturing guardrails, and introductions to enterprise partners across more than a dozen industries. That’s how a clever concept becomes a product that survives audits, pilots, and real-world production.

The broader tech landscape is evolving fast. Impact is no longer an afterthought, it’s the goal. Deep tech is on the rise, especially in medical devices, industrial systems, and sustainable hardware. We dive into the emergence of “physical AI,” where embodied systems like exoskeletons and humanoid robots gain intelligence at the edge. At CES, the team highlighted startups working on pill-based endoscopy, mobility exoskeletons, biosensors, and desktop dialysis. Meanwhile, Dassault’s main booth showcased life sciences innovation at scale, from virtual hospitals and organ twins to patient-specific implants designed in CATIA and manufactured for real-world deployment. Sustainability was front and center too, with energy harvesting and ultra-thin batteries that could eliminate disposable power sources for sensors and smart tags.

Founders will walk away with a practical playbook: design for manufacturing from day one, simulate early to cut costs and risks, plan certification upfront, and build long-term partnerships that support growth. We also preview what’s coming at 3DEXPERIENCE World, including community showcases, maker spaces, and generative AI tools reshaping 3D design and engineering.

Ready to move beyond hype and into real-world impact? Listen in, subscribe for more deep dives, and share what you’re building next.

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What if pain relief, faster recovery, and better sleep were a matter of getting the right light to the right place with the right dose? We sit down with Tom Kerber, engineer-turned-inventor and founder of SunPowerLED, alongside Dr. Hayman Buwan, physician and medical advisor, are bringing together deep engineering rigor and clinical insight to rethink how light-based technologies are applied in real-world health and performance settings.

We unpack photobiomodulation—the clinical side of red and near infrared light—and why some devices deliver real change while others barely scratch the surface.

Tom shares the unlikely path from blue-light dental curing to red-light cancer adjuncts and a personal back injury that proved how fast high-power LEDs can dial down pain. He explains the physics that most people miss: tissue is hungry, so you need total optical power and a large emitting area to drive photons deep into joints and brain tissue. That’s why cooling and engineering matter—air-cooled arrays that sustain output without bulky heat sinks let you get meaningful doses in minutes, not half-hour marathons.

Hayman brings the clinic: shoulder mobility restored in a six-minute session, knee and tendon pain easing quickly, dental patients healing from oral mucositis, and wounds closing faster with pre- and post-op light. On the brain side, we dig into concussion recovery, migraine interruption at aura, improved sleep quality across users, and early work in aphasia, autism, long COVID, and cognitive decline. We talk safety, where pulsing may require oversight, and why underpowered products fuel skepticism. You’ll hear about university collaborations targeting mood, opioid craving, and neuro recovery, plus why standardized protocols and dosing are the bridge from anecdotes to indications.

If you’ve wondered whether red light is hype or a true modality, this conversation gives you the science, the specs, and the stories to tell the difference. Subscribe, share with someone who needs relief today, and leave a review with the one condition you’re most curious to see treated next.

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Trophies are easy to buy; credibility is not. We sit down with Russ Fordyce, Chief Recognition Officer at Business Intelligence Group, to unpack how modern awards can be rigorous, transparent, and genuinely valuable for marketers under pressure to prove results. From volunteer judges with track records to blockchain certificates that verify logos across the web, Russ explains how trustworthy recognition turns into search-friendly proof that buyers and even AI systems can validate.

We dig into why the old models struggled—small panels, popularity contests, and murky criteria—and how a distributed, community-led approach fixes scale and fairness. Judges review a manageable set of entries, earn micro-credentials for service, and are themselves evaluated for quality. That structure keeps standards high while opening doors to niche categories that big shows ignore. Along the way, Russ shares memorable wins, from a solo founder behind BenjiLock turning recognition into Shark Tank momentum, to TD Bank’s creative use of enterprise tech across immersive learning and Roblox engagement.

For marketers navigating the shift from classic SEO to generative engine optimization, this conversation hits the heart of what works now: white-hat proof. Verified awards create durable authority signals that LLMs and search systems can trust, supporting your brand story with evidence rather than ad spend. If you’re building in B2B tech and feel drowned out by bigger budgets, you’ll find a pragmatic path forward through community, validation, and disciplined storytelling.

Ready to earn visibility instead of renting it? Subscribe for more conversations like this, share with a teammate who needs a credibility boost, and leave a review to help others find the show. Want to get involved? Go to we love techawards.com or visit bintelligence.com and check out my awards program at welovetechawards.com

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Most companies call it innovation when they add a feature. Real disruption is when you build the thing that makes the old one irrelevant.

That’s where this conversation starts. JJ de la Torre, founder and CEO of **Raven**, joins us to talk about what leaders consistently get wrong about digitalization, transformation, and “innovation theater”—and how to re-anchor teams around revenue and outcomes instead of decks and demos.

We dig into why the classic services model keeps breaking down. Strategy writes slides. Product ships features. Marketing wins awards. No one owns the result. JJ walks through Raven’s end-to-end model where think, build, and sell operate as a single accountable system. It sounds obvious. It’s not. That shift rewires how ideas get vetted, how products are built, and how success is measured.

Then we tackle AI—minus the hype. The real opportunity isn’t cost cutting. It’s redesigning the business model. Where can AI remove an entire step in the value chain? Enable performance-based pricing? Create revenue streams that didn’t exist last year? If AI isn’t changing how you make money, it’s just a faster expense line.

At the core of the conversation is design as a discipline for transformation. JJ’s book, **Transformation Designed**, frames design as a blueprint for results: center on the customer, validate with behavior, and turn insight into something teams can actually ship. We talk about why design-led companies outperform, how to avoid CES-style “innovation” nobody needs, and the hardest move of all—detachment. Killing today’s winner to create tomorrow’s business, the way Apple let the iPhone eclipse the iPod.

We wrap with what’s next for Raven: co-investment and variable models that share risk and upside with clients across the US, Europe, and Latin America. If you’re planning a 2026 reorg, here’s the gut check: does it change what you build, how you sell it, and how you get paid? If not, you’re just rearranging furniture.

Subscribe. Share it with someone who actually owns a P&L. And leave a review telling us which legacy product you’d sunset first.

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What if every meter in a city became a tiny base station? That simple shift unlocks coverage where towers fail, slashes operating costs, and floods the grid with the data it needs to stay resilient under the weight of electrification. We sit down with Wirepas CEO Teppo Hemiä to unpack how a fully decentralized mesh lets devices make local decisions on channel, power, and routing—no single point of failure, no shouting across long distances, and no fragile tuning from a central controller.

We trace the journey from early cellular breakthroughs to an edge-first architecture built for smart grids, smart metering, and industrial IoT at massive scale. Tippo explains why electrification flips the data problem on its head: rooftop solar, EV charging, and dynamic tariffs demand millions of reliable data points and two-way control. Real-world case studies from Oslo’s million-node deployment to India’s 300-million-meter landscape show how the mesh holds up in basements, metal cabinets, slums with extreme density, and even container ships where multipath overwhelms conventional radios. By embedding backhaul into a fraction of meters, deployments get simpler, cheaper, and faster—devices self-form the network and keep it healthy.

We dig into economics and standards too. With NR+ aligning the technology to the 5G family, utilities avoid lock-in while gaining a path to sub-second reads and grid-grade reliability. A new low-power milestone—mesh routers sipping around 20 microamps on Nordic’s latest silicon—opens the door to battery-powered routing and multi-year autonomy. The takeaway is clear: decentralization, spectrum efficiency, and autonomy are the keystones for a resilient, data-rich energy future. Subscribe, share with a colleague building smart energy systems, and leave a review with your biggest question about scaling IoT for the grid.

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CES is about to flood every feed with AI demos and wall-sized screens, but the real breakthroughs are quieter: teams turning bold ideas into measurable results. We sat down to unpack how the We Love Tech Awards celebrate that kind of progress—transparent judging, practical innovation, and stories you can actually learn from.

We revisit standout winners who proved utility at scale: TD’s immersive learning programs that used VR and AR to deliver real training outcomes, a playful banking experiment on Roblox that still respected user value, and enterprise CX leaders who applied generative AI to increase satisfaction while cutting handle time. Along the way, we talk about why recognition programs matter when news cycles skew negative, and how celebrating builders can lift morale, validate products, and sharpen a brand’s narrative.

You’ll also get a behind-the-scenes look at our judging model. Thousands of volunteer experts—engineers, PMs, and operators—score entries and share actionable feedback, turning a trophy into a roadmap. We dig into categories spanning AI, cloud, cybersecurity, SaaS, IoT, and leadership, then outline how to craft a winning nomination: define the problem, show the implementation, quantify outcomes, and include the lessons learned. With CES days away and nominations due by late March, there’s time to gather the right metrics and stories that prove your work scales.

Before we sign off, we share a few gear picks for creators tackling noisy events and remote workflows—from minimalist e-ink dashboards that cut phone time to compact wireless mics that make a phone feel like a pocket studio. Ready to spotlight tech that works? Subscribe, share this with a teammate, and leave a review with the one metric you’re proudest of from the past year.

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Forecast calls shouldn’t feel like theater. We sat down with People got ai’s new CEO Jason Ambrose to unpack how turning raw activity—emails, meetings, call transcripts—into crisp answers can transform forecasting, end CRM fatigue, and give leaders the clarity they actually need. Instead of forcing reps to feed fields, the platform reads what is already happening and returns guidance you can use right now: which deals are at risk, which stakeholders are missing, and where to act to hit the number.

We trace People ai’s path from early activity capture to training models on billions of interactions across years of market shocks. That history pays off when patterns shift; the system sees signals static dashboards miss. Jason explains why most forecasting rituals only assign accountability, not risk, and how a risk-first approach reframes the conversation: timing, probability, engagement, and next best actions. The result is a plan you can execute, not a spreadsheet you defend.

We also dig into the CRM reality. Systems of record still matter, but the monolithic UI is giving way to flexible experiences, agents, and chat surfaces that pull answers into the tools your teams already use. Executives want to ask open questions—what’s happening in Japan, where a product stands—and get a directionally correct answer in minutes, not days. Agents are set to automate internal churn like account plans, win wires, and pricing checks, so sellers spend more time with customers and less time in tabs. Jason’s vision is simple and ambitious: make accurate, actionable answers available anywhere, integrate with the stack you have, and scale from pilot wins to trusted operations.

If you’re ready to replace hunches with clarity, tune in, share with a teammate, and leave a review so we can keep bringing you conversations that cut through the noise.

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A bright pair of pink socks walked into HIMSS and walked out as a global symbol of connection. We sit down with Nick Adkins to unpack how a playful gesture turned into 300,000 gifts, a nonprofit rooted in kindness, and a book that invites all of us to love more and fear less.

Nick takes us back to 2015, when he and cofounder Andrew Richards skipped the booth, packed a backpack with socks, and discovered the power of intentional gifting to break silos in healthcare. From viral photos and a TEDx talk to collaborations with hospitals, schools, and even astronauts, the Pink Socks movement shows how a small token can open big conversations. The new book, Pink Socks: How A Pair Of Socks Became A Symbol Of Love And Connection, weaves ten years of stories for three audiences: longtime community members, the Pink Socks-curious, and anyone craving a simple path back to empathy.

We go inside the moment that changed everything: a raw, post-talk conversation at Stanford’s MedX with a lung transplant recipient whose story turned socks into a practice of holding space. Nick explains why connection, not just connectivity, heals teams and cultures, and how leaders can model empathy in ways that shift entire companies—sometimes starting with a poem. Practical ideas abound: put down the phone, introduce yourself to the person next to you, use a small, visible token to spark dialogue, and watch a tense room—say, a long post office line—soften into patience.

If your heart is ready for a clear, human reset, this conversation offers a map. Explore pinksocks.life, discover how the nonprofit supports schools and community projects, and consider gifting the interactive hardcover with QR codes that bring stories to life. If this story resonates, share the episode with a friend, subscribe for more human-centered conversations, and leave a review to help others find us.

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