Blog
OnPage Accelerates Global Growth in 2025 with Expanded Enterprise Adoption and Mission-Critical Innovation
Industry recognition, strategic partnerships and advanced product capabilities position the company for continued momentum across healthcare, IT and enterprise markets WALTHAM, Mass. – March 13, 2026 – OnPage Corporation, a provider of an advanced, secure critical communication and collaboration platform that ensures urgent alerts are never missed, today announced its 2025 milestones. The year was defined by platform innovation, deeper enterprise integrations, global expansion and continued validation from industry analysts and … Continued
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The Hidden Cost of AI Productivity: When Efficiency Turns Into “Brain Fry”
A new HBR study reveals that the race to build and manage AI agents may be pushing knowledge workers toward a new form of cognitive overload. If you spend any time on LinkedIn these days, you’ve probably seen the same type of post over and over. Someone proudly announces they built an AI agent that … Continued
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Do Veterinarians Go On Call? Reinventing OnCall Management for Veterinary Clinics
Veterinary clinics typically operate during standard 9–5 business hours. But emergencies don’t follow a schedule. The puppy you just brought home might decide that the rubber duck your toddler dropped on the floor looks like the perfect snack. Or your dog might get into a box of Valentine’s Day desserts you left on the counter. … Continued
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What is Ambient AI in Healthcare? Revolutionizing Clinical Care, Efficiency, and Outcomes
You probably use ambient AI every day without even knowing it. When your Apple Watch is telling you to stand up after sitting too long, your CGM recommends you eat a snack, or even when your smart home lights dim around the time you go to bed, every night…that’s ambient AI. Among other things, ambient … Continued
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Top 12 AI and LLM Observability Tools in 2026 Compared: Open-Source and Paid
Artificial intelligence has moved far beyond experimentation. In 2026, AI systems are embedded into customer support workflows, clinical decision support tools, fraud detection engines, and internal copilots across nearly every industry. Adoption is accelerating quickly. According to McKinsey, 23% of organizations are already scaling agentic AI systems, while another 39% are actively experimenting with them. … Continued
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What are the MOST Promising and High-Demand IT Jobs Right Now
Jobs in the technological sector have been shrinking. The Chief Economist at Glassdoor states that in the first half of 2025, tech employment shrank by an average of 1,583 jobs each month. Looking at tech employment cumulatively, it has declined by 1.9% since peaking in 2022. Despite this downturn, opportunities still exist for skilled professionals who can … Continued
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From Passive Records to Active Care: Activating the EHR in Real time in Israel’s hospitals
Israel’s healthcare system is widely recognized as one of the most digitally advanced in the world. Electronic health records are deeply embedded across hospitals, and platforms like Chameleon sit at the center of clinical operations. Patient data is captured, structured and accessible at nearly every stage of care delivery. But digital maturity alone does not … Continued
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Platform Engineering 101: What It Is, How It Differs from SRE and DevOps, & Why It Matters for Incident Response
Platform engineering has emerged as a response to the growing complexity of modern software delivery. As organizations adopt Kubernetes, microservices, CI/CD pipelines, and infrastructure as code, they are creating dedicated teams responsible for building and operating the internal platforms that power developer workflows. This guide explains what platform engineering is, how it differs from DevOps … Continued
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AI Is Changing Healthcare Faster Than Most Systems Are Ready For
(My key takeaways from a clinician-led roundtable on AI, access, and care delivery) Healthcare is shifting fast, and artificial intelligence is no longer a future concept sitting in research labs or pilot programs. It’s already embedded in clinical workflows, operational systems, and patient interactions, often in ways that feel subtle, uneven, and sometimes uncomfortable. That … Continued
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Silent Failure in Production ML: Why the Most Dangerous Model Bugs don’t Throw Errors
You’ve done it. Your machine learning model is live in production. It’s serving predictions, powering features, and quietly doing its job. Dashboards are green. There are no errors in the logs. Nothing appears broken. And yet, something is wrong. Predictions are getting less reliable. Users are waiting a little longer for responses. Conversion rates are … Continued
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