Smart Office Technology

I see many organizations struggling with tech integration. Stop making these mistakes: 1. Chasing shiny new objects 2. Creating confusing, disparate systems 3. Poor workforce engagement 4. Ignoring feedback and training To succeed with your tech, you need to put your people first. 🫂 And design a human-centric culture for tech integration that works: - Keep employees informed about new technology - Help them understand why it’s important - Get regular feedback - Build excellent and user-friendly training resources At the Alliance, we’ve evolved our onboarding to embed training on our tech. So that we can start as we mean to go on - building a healthy connection between our people and tools > from day one. ❓ Why does this matter? By thoughtfully integrating technology and talent, Innovating becomes simpler. And so does efficiency. But, when integration is rushed… it fails… and has the opposite effect. Tech is your friend 🤝 but only when you make your people your priority. Upwork analyzed this relationship in their newest report: “Work Innovators: A Playbook for Innovation” Highly recommend for anyone implementing new technology at speed and scale: https://bit.ly/4fkDw6R #UpworkUpdates #UpworkPartner

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.

Your team is bright and capable, so why are they still spending a significant part of their week on manual data entry and clunky workarounds? In my experience, it’s often because the very systems meant to make their lives easier don’t talk to each other properly. Just last week, I spoke with a new client who estimated his team was losing a day a week, per person, on precisely this sort of problem. It's an incredibly common, and expensive, issue. Getting integration right isn’t a dark art; it's about shifting your perspective. You have to stop seeing it as a technical expense and start treating it as a strategic investment. A proactive approach is always better than trying to fix things after they've gone a bit pear-shaped. Here’s how we advise getting it right from the start: ✅  Strategy Before Tech: Don't begin by choosing a tool. Begin by mapping out your business goals and understanding the data flows needed to support them. ✅ Choose the Right Architecture: A simple connection might be fine for two systems, but a growing business needs a more flexible, modern approach. For us in the Microsoft world, that means knowing how and when to use tools like Azure Integration Services correctly. ✅ Invest in Expertise: A specialist partner can help you avoid the common pitfalls. It’s a classic "spend to save" scenario that prevents costly mistakes down the line. Getting your systems properly connected isn't just about IT management; it's about building a more efficient, agile, and customer-focused business. Our guide offers a clear plan to eliminate this waste and build the connected systems your business deserves. https://lnkd.in/gVU2UkyX What is one critical business process you could completely transform if your key software platforms were properly integrated? #ProcessAutomation #BusinessStrategy #ROI

𝗜𝗧/𝗢𝗧 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻 -- 𝗧𝗵𝗲 𝗣𝘂𝗿𝘀𝘂𝗶𝘁 𝗼𝗳 𝗜𝗻𝘁𝗲𝗿𝗼𝗽𝗲𝗿𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝗮𝗻𝗱 𝗦𝗰𝗮𝗹𝗮𝗯𝗶𝗹𝗶𝘁𝘆 The separation between the #IT and #OT domains is diminishing. IT, traditionally focused on #DataManagement, #analytics, and enterprise-level operations, is converging with OT, which is responsible for physical processes and equipment. The benefit? The breakdown of #data silos for better interoperability and scalability. 𝗘𝗻𝗮𝗯𝗹𝗶𝗻𝗴 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝗶𝗲𝘀 -#EdgeComputing, thanks to its localized data processing, reduces the reliance on external #cloud connections for critical functions, assuring that operations can continue even during disruptions. -#SCADA systems act as intermediaries, harmonizing data from multiple OT sources before flowing to enterprise systems. -#IIoT platforms streamline data sharing across locations and systems, promoting centralized monitoring. Integrating edge computing with IIoT platforms helps manufacturers scale operations without overloading central systems, ensuring effective data-driven decisions as the volume of operational data grows. 𝗗𝗿𝗶𝘃𝗶𝗻𝗴 𝗜𝗻𝘁𝗲𝗿𝗼𝗽𝗲𝗿𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝗮𝗻𝗱 𝗕𝗿𝗲𝗮𝗸𝗶𝗻𝗴 𝗗𝗮𝘁𝗮 𝗦𝗶𝗹𝗼𝘀 One of the direct benefits of IT/OT integration is interoperability across different systems and processes. Legacy OT systems, once isolated, are now capable of communicating with IT infrastructure through protocols like #OPC UA and #MQTT, addressing the problem of data silos, which have historically hindered collaboration between both domains. With the use of analytics and #AI, manufacturers can gather insights from previously inaccessible data streams. For example, combining data from OT systems with AI-driven software opens the door for #PredictiveMaintenance strategies to improve overall #Asset Management. 𝗦𝗰𝗮𝗹𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝗧𝗵𝗿𝗼𝘂𝗴𝗵 𝗙𝗹𝗲𝘅𝗶𝗯𝗹𝗲 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲𝘀 Scalability is a critical factor. As industries grow, the need for integrated, scalable solutions becomes imperative. Unified network infrastructures, common management platforms, and standardized equipment ensure that IT and OT systems can scale without compromising performance. Cloud platforms and #virtualization technologies are essential to this scaling effort. For instance, virtual controllers offer flexibility by decoupling control software from the underlying hardware, facilitating the remote update and management of systems, and reducing costs associated with hardware dependencies. In addition to scalability, these architectures enable greater flexibility in managing assets and resources; i.e., businesses are able to scale their IT/OT infrastructure in response to production needs while maintaining system reliability and uptime. Source: https://shorturl.at/brwGe ***** ▪ Enjoy this content? Follow me and ring the 🔔 to stay current on #IndustrialAutomation, #IndustrialSoftware, #SmartManufacturing, and #Industry40 Tech Trends & Market Insights!

In the summer of 2006, the hottest corporate accessory was a Blackberry. Nobody bought one because it was cool. They bought it because their job required them to answer email at 9pm. And that — not the consumer market — is what paved the road for the iPhone. I think smartglasses need the same moment, and most of the industry is looking in the wrong direction to find it. Right now the pitches split two ways: broad consumer plays with celebrity ads, or industrial and manufacturing use cases. But the Blackberry lesson is that mass adoption came through the office — through ordinary professionals whose employer made the device normal. Even Realities is the one company leaning into this. They just raised $150M at a $1B valuation, and their CEO told me about a third of their users are company executives, using the glasses almost entirely for one thing: communication. High-stakes conversations — speeches, negotiations, interviews. That's a real beachhead. But executives alone don't normalize a category. What does: every white-collar worker who needs to pull up information mid-conversation. Real-time transcription for employees with hearing loss. Translation that lets people work in a language they don't speak fluently. The unglamorous stuff. The camera question is real, and the office may actually be where those norms get settled — most workplaces already have strict recording policies.

IT/OT integration is how you de-risk growth.     If the top floor can’t see the shop floor in real time, quality slips, downtime grows, and batch release slows. In our world of compliance and complex supplier networks, blind spots turn into audit findings and missed delivery windows.     Here’s the core move I see working. Combine the real and digital worlds across product and production so horizontal data flows become routine. Think engineering models, test results, materials, building processes, automation code, and performance data moving between teams. Then connect the vertical path. Executives, planners, and operators sharing the same context so decisions line up with actual conditions. That’s where you get predictive maintenance instead of unplanned stops, data‑centric supply chain adjustments instead of last‑minute expedites, energy transparency that feeds credible sustainability metrics, and stronger cybersecurity plans that account for both IT and OT exposure.     Pharma adds constraints, but the pattern still holds. IoT devices can read modern and legacy equipment, extending the digital thread into your supplier ecosystem so logistics, production timing, and potential disruptions show up early. A closed loop between development, production, and optimization tightens traceability and speeds corrective action. Digital twins let engineering teams iterate quickly on both process and line design without risking validated operations.     Pick one high‑stakes decision and wire it end to end. For many, that’s batch release. Map the horizontal data you need across quality tests, materials, and line performance. Then build the vertical connection so insights reach the teams that plan, schedule, and approve. Keep the scope small, include cybersecurity from day one, and define the single source of truth for that decision. When it works, scale to the next decision. 

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.

One of the most valuable lessons I learned in HR technology came during an acquisition. When Office Depot acquired CompuCom, one of the first recommendations was exactly what you'd expect: Move everyone to Oracle HCM. On the surface, it seemed like the obvious choice. One company. One HR platform. One standard way of working. Technically, we could have done it. But before launching another enterprise implementation, we stopped and asked a different question: What business problem are we actually trying to solve? CompuCom employees were already productive. They knew Workday. Adoption was strong, and the platform was meeting their needs. So why create a massive change initiative simply because the systems were different? As we evaluated the options, we chose a different path. Rather than forcing a migration, we designed a bi-directional integration between Workday and Oracle HCM. The outcome? ✅ CompuCom employees continued using the Workday experience they already knew. ✅ Office Depot gained the enterprise reporting, workforce visibility, and operational capabilities needed in Oracle HCM. ✅ We achieved the business objectives of the acquisition while avoiding unnecessary disruption for employees. That experience fundamentally changed how I think about HR transformation. Too often, organizations assume the answer is to replace technology. In reality, the better question is whether replacing the technology actually solves the business problem. Sometimes the best technology decision isn't replacing what works. It's integrating it thoughtfully to achieve the business outcome. Have you experienced a situation where challenging the "obvious" solution led to a better business outcome? I'd love to hear your experience.

I was recently featured in The New Tab to discuss the rise of AI smart glasses — and the governance, privacy, and trust implications that organizations can no longer ignore. Here are key insights from my interview — focused on what leaders need to consider before adopting AI-enabled wearables: Innovation in AI-enabled devices like smart glasses is moving faster than organizational and regulatory readiness. Before adopting new tech, understand not just your short-term business goals, but the strategic innovation path you're signing up for. Organizations deploying AI devices take on an elevated responsibility as custodians of personal data. Data security is not a feature — it must exist from design to deployment to daily operations. Trust is not granted by default — especially in a world where skepticism around data capture continues to rise. Every interaction with customers and employees should reinforce transparency and respect for privacy. A responsible AI governance framework must address fairness, bias, transparency, and user control. And it should be re-evaluated every time the technology, data model, or usage expands. Visible indicators (e.g., recording lights or cues) and default data-expiry policies are essential to preserve bystander and user trust. The visual field of cameras and audio capture should be clearly defined and communicated. Surveillance normalization is happening — devices blending into daily life fundamentally change the privacy equation. This demands intentional design choices, not accidental consequences. A shared responsibility model is critical — individuals, companies, and regulators all have a role in protecting rights and experiences. Self-regulation is no longer enough — in safety-critical environments (schools, hospitals, banks), unmonitored recording devices should not be acceptable. Oversight is not bureaucracy — it is risk reduction. Regulatory readiness and auditability are becoming baseline expectations — not optional extras. Security leaders must close the gap between rapid technological advancement and responsible implementation. Doing so is no longer a nice-to-have — it is a strategic imperative. Organizations should navigate this intersection of cybersecurity, AI innovation, and enterprise trust. Is your company exploring AI wearables or smart devices, how are you ensuring there is governance that empowers innovation?

Meta Glasses: What Can We Do with Them in Dental Education and Practice? The rise of Meta glasses and other VR/AR tools has opened a new frontier for dentistry. What once sounded futuristic is already here—and the question is no longer if but how we integrate them into patient care, training, and education. Applications Today 🔹 Patient Education & Comfort – Apps like Relax Gaming Ltd VR and HoloDentist allow patients to step inside their own CBCT or intraoral scans, visualize implants or crowns, and reduce anxiety during treatment through immersive experiences. 🔹 Professional Training & Guidance – From New York University’s VR anesthesia training to VR-haptic simulators that mimic the feel of drilling, students can practice high-stakes procedures safely, repeatedly, and with real-time feedback. AR overlays like X-Guide already guide implant surgery with precision. 🔹 Documentation & Sharing – Meta’s Ray-Ban glasses make it possible to record procedures hands-free for teaching or research. Future iterations with AR display integration may allow real-time case data to appear directly in a clinician’s field of vision. Where We’re Going ➡️ AI-assisted visualization: Imagine diagnostic data, step-by-step surgical or restorative plans, or alerts appearing in your glasses as you work. ➡️ Seamless VR-haptic integration: Not just practice drills, but immersive pre-clinical training where tactile, cognitive, and visual learning merge. ➡️ Collaboration without borders: Faculty and students across continents can join the same “virtual operatory,” learning, teaching, and innovating together. Challenges to Solve ⚠️ Cost, sustainability, and integration into already crowded curricula. ⚠️ Avoiding tech-for-tech’s-sake—true value comes only when tools improve patient care, student learning, and institutional efficiency. A Call to Action This is where Digital, VR-Haptic Thinkers and innovators in academia and industry must come together. Collaboration—not siloed experiments—will define whether VR/AR becomes a lasting transformation or just another passing fad. Inspiration Technology alone doesn’t change education—it’s how we use it that matters. Let’s design thoughtfully, act boldly, and bring the next generation of digital dentistry to life. #DentalEducation #DigitalDentistry #MetaGlasses #VRHaptics #Innovation #DentistryFuture #ExperientialLearning #Prosthodontics