Vaidio

Super insightful perspective from Jonathan Karl and Vanessa Ambrose at CDW on using technology as a force multiplier for healthcare teams—especially the focus on reducing noise and friction for clinicians and IT. One thing that stands out: while a lot of attention is on digital workflows, there’s still massive untapped opportunity in the physical environment—where video and AI can help automate monitoring, reduce alert fatigue, and surface what actually matters in real time. That’s exactly where platforms like Vaidio are starting to extend this “force multiplier” concept beyond systems and into real-world operations. Read more: https://bit.ly/4rG9L68

We are collaborating with NVIDIA to bring physical AI applications to distributed edge AI networks. This collaboration demonstrates how next-generation AI-RAN infrastructure transforms wireless networks into platforms for distributed edge AI computing. It helps developers deploy vision AI agents that understand the physical world across cities, utilities, and industrial worksites using the NVIDIA Metropolis platform. Read the #GTC26 announcement ➡️ https://bit.ly/4bzsUka #PhysicalAI #EdgeAI #VisionAI #AIRAN #DistributedAI #EdgeComputing #SmartCities #IndustrialAI #NVIDIAMetropolis #GTC26

NVIDIA GTC 2026 is wrapping up and the energy around AI has never been stronger. Our team is leaving GTC incredibly energized by what’s ahead, especially the shift toward reasoning AI and Physical AI. One idea stood out: structured data is the foundation of trustworthy AI. In a new blog, our CEO Marshall Tyler shares his perspective on what this means—and why turning real-world data into structured, actionable intelligence is becoming critical. From video to structured data layers to VLM-driven reasoning, this is how AI moves from insight to action. Read the full blog: https://bit.ly/4sUIDl4 #GTC26 #VisionAI #PhysicalAI #AI #EdgeAI #Vaidio

We’re heading back to ISC West. Last year’s Best New Product winner is back at ISC West 2026 with new innovations to showcase. 📍 Booth #7117 Join us to see how Vaidio continues to push Vision AI forward across security, safety, and operations. ➡️ Get a discounted exhibit hall pass (available until March 24): https://bit.ly/476EeD9 See you in Las Vegas. #ISCWest #VisionAI #PhysicalSecurity #AI #Vaidio

The momentum behind Vision AI at the edge is accelerating. We’re proud to be part of this collaboration with T-Mobile, NVIDIA, and partners, bringing real-time AI applications onto distributed, AI-RAN-ready infrastructure. As networks evolve into platforms for real-time intelligence, we’re seeing growing demand from telcos to move Vision AI closer to where data is created. Read more: https://t-mo.co/4uBmEkO Excited to partner with leaders like T-Mobile and NVIDIA to help make it happen. #VisionAI #EdgeAI #5G #Telco #Vaidio

Workplace violence in healthcare is rising—putting staff safety and retention at risk. Hospitals are increasingly turning to AI-powered monitoring to help detect and respond to escalating situations earlier. By analyzing behavioral indicators and activity across hospital environments, security teams can receive alerts when potential risks emerge. Common scenarios include: • Detecting aggressive movements or unusual behavior • Identifying loitering or tailgating in sensitive areas • Monitoring entry points in high-traffic zones • Alerting security teams to emerging risks Instead of relying solely on manual observation, teams can respond faster and de-escalate incidents before they escalate. Read the blog to see how healthcare leaders are strengthening staff safety in open care environments: https://bit.ly/4bgUtjD

AI is moving beyond copilots into systems that perceive and act in the physical world. In our latest blog post, we explore how Vision AI and NVIDIA-powered infrastructure are enabling Physical AI across distributed networks. See how Vaidio brings real-time video intelligence to the edge, the network, and the cloud. Read more → https://bit.ly/4sPKmYV #VisionAI #PhysicalAI #EdgeAI #VideoAnalytics #AIInfrastructure #TelecomAI

Hospitals continue to face staffing shortages and rising labor costs—especially when assigning sitters for high-risk patients. Many healthcare teams are now shifting from constant in-room observation to virtual monitoring with AI-driven alerts. Instead of dedicating staff to one-to-one monitoring, clinicians can oversee multiple rooms simultaneously and intervene only when needed. Common scenarios include: • Monitoring multiple high-risk patients with fewer staff • Detecting fall risk or unsafe movement • Providing centralized oversight from a virtual care station • Reducing reliance on one-to-one sitter assignments This approach helps hospitals improve patient safety while optimizing staffing resources. Read the blog to learn how hospitals are moving from reactive fall response to intelligent monitoring: https://bit.ly/47FWrri

🎥 Live from HIMSS in Las Vegas Vaidio's very own Matt Bennetti and HonorHealth's Todd Larson discuss using Vision AI to solve the most pressing issues in healthcare operations, security, and the delivery of patient outcomes. Matt and Todd had a great conversation—stay tuned for the podcast coming out soon! #HIMSS #HealthcareAI #VisionAI #AIinHealthcare #HospitalOperations #PatientSafety

🎤 Speaking at SIA Education@ISC West Ahead of ISC West 2026, Paul Sun will be speaking at the SIA Education program on: “AI That Serves Everyone – When Cities, Universities, Tech Companies Collaborate.” 📍 The Venetian | Casanova 506 📅 Monday, March 23 🕒 2:30 PM – 3:30 PM The session will explore how long-term collaboration between the City of Dubuque, Iowa State University, and AI technology partners turned privacy-preserving research into real-world urban intelligence. The discussion will highlight how anonymization technology can enable detailed traffic analysis while protecting citizen privacy and how cross-sector partnerships can drive responsible AI innovation. ➡️ Register now and receive 20% off the SIA Education@ISC program: https://bit.ly/4czMDTa #ISCWest #SIAEducation #VisionAI #SmartCities #ResponsibleAI #Vaidio