Real-Time Customer Experience Solutions

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  • View profile for Ashok Chennuru

    Chief Data & Digital AI Transformation Officer | Elevance Health | Board Member | Advisor | Mentor

    15,759 followers

    Ambient AI is no longer a future concept in healthcare, it’s already reshaping how care is delivered. AI-enabled clinical documentation is changing how physicians experience technology, making it feel supportive rather than burdensome. By reducing the administrative load of documentation, clinicians can spend more time practicing medicine instead of managing systems. At the same time, clinical documentation, which has long been a source of friction, burnout, and risk, has the potential to become a powerful source of real-time clinical insight. At Elevance Health, we’re focused on applying digital technologies, such as ambient and clinical insights - responsibly - not just to document care, but to enable earlier intervention, better coordination, and more effective cost management. Several principles guide our approach: 🚣 Move upstream: Embed payer intelligence, such as risk signals and care gaps, directly into clinical workflows rather than surfacing insights after the fact. 🕵 Focus on moments that matter: Earlier detection of risk allows action before acute events occur. 🩺 Keep humans in the loop: AI should support clinical decision-making, not replace clinical judgment. 🔃 Reduce friction, not add it: Seamless data flow means less manual work for providers and faster, more comprehensive care. By integrating real-time clinical documentation with actionable insights, ambient AI can help surface relevant information at the moment of care, supporting more comprehensive diagnosis, improved coordination, and more affordable outcomes without increasing burden or compliance risk. The opportunity ahead isn’t about adding more AI tools. It’s about turning data into action at the right time, in the right workflow, for the right member. I look forward to continued collaboration across payers, providers, and technology partners as we shape what responsible, AI-enabled healthcare should look like.

  • View profile for Matt Garman
    Matt Garman Matt Garman is an Influencer
    446,684 followers

    We’re moving from operating software to operating alongside systems that can reason and act. Today we’re making that real with the general availability of AWS DevOps Agent and AWS Security Agent — part of a new class of systems we call frontier agents. Unlike traditional tools, frontier agents don’t just respond to prompts — they work autonomously across multiple steps to achieve outcomes, operating continuously until the job is done. One helps you run cloud operations — investigating incidents, reducing time to resolution, and preventing issues before they happen. Customers like United Airlines, Western Governors University, and T-Mobile are already using DevOps Agent to accelerate incident response and simplify operations at scale. At WGU, resolution time dropped from hours to minutes, and in preview customers report up to 75% lower MTTR and 3–5x faster resolution. The other helps you secure them — bringing continuous, context-aware penetration testing into the development lifecycle. Customers including LG CNS, HENNGE, and Wayspring are seeing strong results. At LG CNS, teams estimate over 50% faster testing and ~30% lower costs, along with significantly fewer false positives. Both are designed to work across Amazon Web Services (AWS), multicloud, and on-prem environments. The goal is simple: give teams an always-available teammate that can handle the heavy lifting, so builders can focus on what matters most. We’re still early, but this is a big step toward more autonomous, resilient systems. Learn more: https://lnkd.in/em-eeJwc

  • View profile for Alexey Navolokin

    FOLLOW ME for breaking tech news & content • helping usher in tech 2.0 • GM @ AMD • Turning AI, Cloud & Emerging Tech into Revenue

    805,777 followers

    ✈️ Airport Baggage Handling Has Quietly Gotten Smarter — Thanks to AI. What do you think? Remember the days of delayed or lost luggage being the norm. That’s changing — fast. With AI, IoT, and automation transforming ground operations, the baggage handling system at modern airports is becoming a case study in quiet efficiency. Here’s how technology is making a difference: ✅ RFID & real-time tracking – No more guessing where your bag is. ✅ AI-powered sorting & routing – Faster, more accurate handling. ✅ Predictive analytics – Less congestion, fewer delays. ✅ Robotics & automation – Smarter, safer workflows. ✅ Passenger apps – Transparency right in your pocket. 🔍 Fun fact: Since 2007, global mishandled baggage rates have dropped by over 70%. Airports like Changi, Heathrow, and Schiphol are leading the way — and passengers are noticing. Sometimes the best tech transformations are the ones we don’t even realize are happening. #AI #AirportTech #Logistics #SmartTravel #DigitalTransformation #BaggageHandling #Innovation #IoT #Automation video by @theasybag