Smart Office Technology

Amazon is developing wearable smart glasses for its Delivery Associates (DAs) that bring advanced computer-vision and AI directly into the delivery workflow. These glasses display turn-by-turn walking navigation and delivery instructions without the driver needing to look at a phone. Also, they’re tuned for delivery associates’ safety, and the design process involved hundreds of drivers providing feedback to improve comfort, display clarity, and usability. In the AI-education space, this signals a more profound shift -wearable, embedded, contextual AI tools are becoming part of daily workflows. Now, people don’t have to juggle phones, packages, and directions for delivery partners. The mind-blowing facts are: 👉 This is built with feedback from hundreds of drivers for comfort and clarity. 👉 It uses Amazon’s geospatial tech for exact doorstep navigation. 👉 Its future versions may detect pets, lighting, or wrong deliveries in real time. The world we are living in is just the beginning of augmented logistics, where human judgment meets real-time AI guidance. Let me know what you think about this new AI-powered product.

The future of last-mile delivery just got wearable. Amazon has just unveiled AI-powered smart glasses designed specifically for delivery associates — merging computer vision, real-time navigation and safety insights into one seamless interface. Drivers will be able to see delivery instructions, confirm the right packages and even capture proof-of-delivery photos — all without pulling out a single device. The glasses will also detect potential hazards like dogs in the yard and share that data with future drivers, creating a smarter, safer delivery ecosystem. For executives, this isn’t just a logistics upgrade — it’s a blueprint for operational AI integration. It’s what happens when edge computing, wearables and generative AI converge to augment frontline work, not replace it. In an era where efficiency and safety define competitive advantage, this signals the next wave of AI-driven workforce augmentation — practical, scalable and human-centered. Video: @CNET/YouTube #GenerativeAI #ArtificialIntelligence #AI #Wearables #Technology

𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 𝗶𝘀𝗻’𝘁 𝘁𝗵𝗲 𝘀𝗶𝗹𝘃𝗲𝗿 𝗯𝘂𝗹𝗹𝗲𝘁 𝗳𝗼𝗿 𝗺𝗼𝗱𝗲𝗿𝗻 𝗺𝗮𝗻𝘂𝗳𝗮𝗰𝘁𝘂𝗿𝗶𝗻𝗴. In high-variety assembly lines, many tasks are still performed manually. Why? Because flexibility and complexity are hard to automate. But manual work comes with its own risks: • Errors creep in. • Workers face physical and cognitive strain. • Customers demand flawless quality—with no room for mistakes. So instead of chasing full automation, OEMs are rebalancing. They are reducing automation levels to regain flexibility while turning to assistive technologies to support human workers where it matters most. This is where cognitive assistance systems enter the stage. Think of them not as replacements, but as companions for human operators. Here’s how the architecture works: 𝗣𝗲𝗿𝗰𝗲𝗽𝘁𝗶𝗼𝗻 & 𝗔𝘄𝗮𝗿𝗲𝗻𝗲𝘀𝘀 – Wearable and infrastructural sensors capture activity, monitor skills, and even detect cognitive states. 𝗗𝗲𝗰𝗶𝘀𝗶𝗼𝗻 𝗦𝘂𝗽𝗽𝗼𝗿𝘁 – Smart models adapt guidance to the worker’s strengths, weaknesses, and real-time performance. 𝗚𝘂𝗶𝗱𝗮𝗻𝗰𝗲 & 𝗔𝘀𝘀𝗶𝘀𝘁𝗮𝗻𝗰𝗲 – AR glasses, smart displays, or cobots deliver step-by-step instructions, highlight errors, and provide safety cues. 𝗔𝘂𝘁𝗼𝗻𝗼𝗺𝗼𝘂𝘀 𝗔𝗰𝘁𝗶𝗼𝗻 – Actuators and cobots step in for repetitive or hazardous tasks, reducing strain and boosting productivity. The impact is clear: • Errors are reduced. • Quality improves. • Flexibility is preserved. • Workers are empowered Real-world examples prove it: Airbus uses AR glasses for aircraft assembly, allowing technicians to compare workmanship directly with CAD models in real time. BMW has deployed cobots on shop floors to handle repetitive tasks, enabling workers to focus on skilled assembly. DHL reports a 25% efficiency boost in logistics after rolling out AR picking systems. The future? Even more powerful: AI-driven AR copilots that anticipate errors before they happen. Cognitive systems that sense fatigue or stress and adjust workflows to reduce overload. Self-learning digital twins that continuously optimize assembly systems based on human + machine interactions. Seamless human–cobot collaboration, where machines naturally adapt to human pace, skill, and context. This shift marks a fundamental truth: The factories of the future won’t be about humans adapting to rigid machines. 👉 They will be about technology adapting to humans, amplifying creativity, ensuring safety, and guaranteeing precision. The real question for leaders today is not if to embrace assistive systems, but how fast. Ref: Towards Flexible and Cognitive Production- Muaaz AbdulHadi et all

There’s a lot of talk about AI replacing jobs. But some of the most exciting progress is happening where AI supports people, not by taking over, but by helping them work smarter, faster, and with more confidence. At CFF, Switzerland’s national rail operator, we partnered to explore how smart glasses and AI could assist maintenance teams in the field. The results surprised us: - Experienced workers became 20% more efficient - Less experienced workers saw a 29% gain But efficiency isn’t the whole story. SBB is building a foundation to continuously learn, adapt, and scale these tools in ways that elevate their people and operations alike. This kind of work reminds me why I got into design and technology in the first place: not to replace humans, but to empower them. https://lnkd.in/emebEp8f #AI #XR #HumanCenteredDesign #Innovation #TechForGood #FutureOfWork

Pay attention. One device update can change your industry. Meta rolled out live translation to the Meta Ray-Ban smart glasses. Pairs of these should be in so many places. 🔹 Healthcare: These should be in every ER. In a medical setting, clear and immediate communication between healthcare professionals and patients is critical, especially when language differences exist. Smart glasses offering live translation can enable doctors and nurses to understand patient symptoms, concerns, and medical history in real-time, regardless of the language spoken. This can lead to more accurate diagnoses, better patient care, and reduced risk of miscommunication in urgent situations. Furthermore, access to medical information or procedures via voice interaction with an AI, hands-free, could support practitioners during examinations or surgeries. 🔹 Education and Language Learning: For language students, these smart glasses could serve as an immersive and practical tool. Engaging in real-time conversations with native speakers, with the glasses providing discreet translation assistance, can significantly accelerate language acquisition and build confidence. In classrooms, teachers could more easily communicate with students who are English language learners, and students could access explanations or information from an AI tutor through voice commands while working on tasks. 🔹 Emergency and Response: In high-stress, time-sensitive emergency situations, clear communication and rapid access to information are paramount. First responders, paramedics, firefighters, and law enforcement officers often encounter individuals who speak different languages, creating critical communication barriers. Smart glasses with live translation can instantly bridge these gaps, allowing emergency personnel to understand victims, witnesses, or affected individuals regardless of language, leading to faster assessments and more effective aid. Furthermore, the hands-free, voice-activated AI can provide crucial support - imagine a paramedic verbally asking for a patient's known allergies or medical history while simultaneously providing care, or a firefighter receiving hands-free navigation or building blueprints via voice command. The ability to communicate seamlessly and access vital data purely through spoken interaction can dramatically improve response times, coordination, and the overall effectiveness to not only improve, but ultimately save lives.

Augmented Labor Is Here. Your Team Should Be Next Amazon’s new smart glasses are the front end of a powerful AI infrastructure designed to support and scale human performance. These glasses use: ➡️ Computer vision to identify packages and surroundings ➡️ Turn-by-turn walking directions overlaid in real time ➡️ Hazard detection and safety prompts ➡️ Package scanning, proof of delivery capture, and automatic task sequencing ➡️ A hands-free interface that allows workers to stay focused and present All of it is informed by data. Every movement, every decision, every outcome feeds back into the system. That feedback loop sharpens accuracy, reduces friction, and improves execution across the entire workforce. It is about building tools that elevate consistency, confidence, and clarity at the edge of customer interaction. WHAT THIS MEANS FOR HOTELS Amazon is solving a frontline problem that hotels share. Where they built glasses, hotels can build systems that deliver the same clarity. ➡️ Valets can receive real-time prompts on guest arrivals and vehicle info ➡️ Housekeepers can access visual checklists to confirm brand standards room by room ➡️ Front desk staff can recognize guests by name, switch languages on the fly, and get live guidance on upsell cues ➡️ Managers can train teams using real examples of service moments captured and reviewed FIVE ACTIONS TO START NOW 1️⃣ Map every role in your hotel to potential AI support tools Start with your front desk, housekeeping, valet, and reservations 2️⃣ Use voice agents to create consistent, 24/7 booking experiences These are not IVRs. They are frontline tools with real guest impact 3️⃣ Capture and review team performance at scale Recording calls and service interactions should lead to better training and stronger outcomes 4️⃣ Design playbooks that think like prompts Every SOP can be translated into workflows that AI systems and staff can execute together 5️⃣ Train your team in AI literacy as a baseline skill This is not technical training. It is about understanding how to guide and work with AI tools confidently FINAL WORD Amazon built smart glasses to make their frontline smarter, safer, and faster. They took judgment and turned it into process. They turned process into systemized excellence. Hotels can do the same. If you want to upskill your team, build tools that drive real-time performance, or increase revenue by turning AI into action, reach out. Now is the time to build the systems your team deserves.

Just finished a deep dive into how AR and XR are quietly transforming the modern workplace, and I’m convinced this shift is far more than a tech trend. We often hear about automation, AI, and data pipelines. But on the ground, it’s immersive tech that’s helping teams 𝗼𝗻𝗯𝗼𝗮𝗿𝗱 𝗳𝗮𝘀𝘁𝗲𝗿, 𝗿𝗲𝗱𝘂𝗰𝗲 𝗲𝗿𝗿𝗼𝗿𝘀, and 𝘀𝗼𝗹𝘃𝗲 𝗽𝗿𝗼𝗯𝗹𝗲𝗺𝘀 𝗿𝗲𝗺𝗼𝘁𝗲𝗹𝘆 without flying in experts. DHL uses smart glasses to guide warehouse pickers in real time. GE Aerospace trains technicians with AR overlays instead of thick manuals. Coca-Cola HBC connects frontline staff to remote support through wearable devices. The gains? Fewer mistakes, faster execution, more engaged teams. What stood out most: AR/XR isn’t replacing people; it’s making their jobs easier, safer, and smarter. If your org is still stuck on PowerPoint training and in-person troubleshooting, the gap is already growing. Happy to share insights from my write-up if you’re exploring immersive workflows. #DigitalTransformation #AR #XR #FutureOfWork #OperationalExcellence #ImmersiveTech ------------------------     ✅ Follow me on LinkedIn at https://lnkd.in/gU6M_RtF to stay connected with my latest posts.   ✅ Subscribe to my newsletter “𝑫𝒆𝒎𝒚𝒔𝒕𝒊𝒇𝒚 𝑫𝒂𝒕𝒂 𝒂𝒏𝒅 𝑨𝑰” https://lnkd.in/gF4aaZpG to stay connected with my latest articles.   ✅ Please 𝐋𝐢𝐤𝐞, Repost, 𝐅𝐨𝐥𝐥𝐨𝐰, 𝐂𝐨𝐦𝐦𝐞𝐧𝐭, 𝐒𝐚𝐯𝐞 if you find this post insightful.   ✅ Please click the 🔔icon under my profile for notifications!  

Adoption killer: Asking users to change how they work. Instead of forcing new habits, why not wrap your tech around the ones they already have? That’s the genius behind Robin Cowie’s approach with Skillmaker.AI. It helps train auto techs up to 8x faster than traditional training by mbedding critical knowledge into the gear they already wear. It’s the opposite of a typical enterprise rollout: → No long onboarding → No behavior change → No new systems to learn One key example? Smart glasses. Familiar form factor = zero ramp-up Voice + AI = instant, hands-free answers at the point of work Old Way: Need torque specs? → Stop what you’re doing → Clean your hands → Walk to a terminal → Log in to the portal → Search for the vehicle → Find the spec → Walk back → Resume the job __________________________ New Way: Just ask: “F-150, 2020 model, engine block—what’s the torque spec for these bolts?” → Answer shows up in your glasses in under four seconds. → No context-switching. No friction. No slowdown. ________________________________ The key move: Design for your user’s routines, tools, and instincts The smart glasses work because they look like what techs already wear. Voice triggers work because hands stay busy. Information sticks because it’s delivered in-context, not classrooms. Key lesson for tech founders building tools for the field: Innovation isn’t just what you build. It’s how naturally it gets used. __________________________ For founders building in regulated, hands-on, or legacy sectors, our conversation shows how to build real-world products that win trust fast: We also cover: • How Blair Witch’s $60K constraint became its superpower • The risk that made Madden NFL unforgettable • Why “credibility” is the most underrated product spec • The real reason new tech gets adopted (or doesn’t) • What most founders get wrong about deployment Catch our full sit-down here: https://lnkd.in/eUpueM_w

Smart glasses are going to transform field service. But your technicians probably think they're bullshit. I get it. They've been promised better digital tools for a decade. I know because I've built some for them. And every time, we delivered something that made them stop what they're doing: 🧤 Take off their gloves 📱 Pull out their phone 📶 Make sure they had Wi-Fi connectivity 🔐 Log in to some app 📋 Navigate a menu 🔢 Punch in a 16 digit serial number or VIN And then maybe, just maybe there was relevant information there. We optimized mobile interfaces as much as we could to make this whole process easier, but it was never going to be great. So when you show a technician smart glasses, of course they think it's another gimmick. Until they start using them. Smart glasses are getting close to the point where they eliminate all the clunky interface issues. You are able to literally just say "find me the part number for this" and it'll do it. Then say, "order the part for me and add it to a draft invoice for the customer." All it takes is a sentence or two and the glasses will do all the administrative work in the back end. Things that would require 20 - 30 minutes of paperwork, you're able to do in seconds. With glasses, you record your workflow and AI completes the paperwork for you. I think the more technicians who get their hands on smart glasses and understand where the technology is going, the faster their well-earned skepticism disappears. #FieldService #SmartGlasses #TechAdoption #SkilledTrades #WorkerTech #FieldTech #AR #WearableTech

This week, XR + AI truly delivered! My biggest takeaway? Google's strong re-entry into the smart glasses game. After the Google Glass era, many wondered if they'd ever try again. But at Google I/O, they unveiled an AR smart glasses prototype that's genuinely exciting. This isn't just a gadget; it's a statement about their future vision, and it looks like they've learned a lot. Here’s why I'm optimistic about where this is heading: 1) Subtle & Smart: These glasses look like regular eyewear. The real genius lies in the Gemini AI integration, offering hands-free real-time translation, memory assistance, and contextual info right in your vision. This is the assistive ambient computing we've been waiting for. 2) Built for Adoption: It's not just about the tech; it's about the design. Google is working with eyewear brands and building on Android XR – a platform set to unite key players like Samsung and Qualcomm. This collaborative, open approach is crucial for mass adoption. 3) Clearer Purpose: Unlike previous attempts (or even some current competitors), Google's strategy seems sharp, glasses for augmentation, headsets for immersion. This clarity could be key to widespread acceptance. This feels like a significant pivot in the AR landscape. While Meta and Apple have their strong plays, Google's focus on discreet, AI-powered utility might be the formula that truly integrates AR into our daily lives, potentially even paving the way for a post-smartphone era. What are your thoughts on Google's new direction? #AndroidXR #SmartGlasses #GeminiAI #WearableAI #GoogleIO #AugmentedReality #TechInnovation #FutureOfTech #SpatialComputing