Operations | Monitoring | ITSM | DevOps | Cloud

The proliferation of Internet of Things (IoT) devices has transformed various sectors, offering enhanced efficiency and connectivity. However, this expansion also introduces significant security challenges. Implementing robust firewall monitoring is essential to protect these devices and the networks they inhabit.

In cybersecurity, speed, clarity, and cost control are everything—and AI has the potential to deliver all three. But only if it’s done right. At Observo AI, we use machine learning to eliminate low-value data, reduce alert fatigue, and surface the insights that matter most—all while cutting data volume and storage costs by up to 80%. But for many teams, one critical question still lingers: Can we trust what AI is doing with our data?

On the first of every month we generate an extensive PDF report for every site. This report contains a summary of all check results for the month and is a snapshot available to you and your team via email and the Oh Dear dashboard. We keep the report history so each month can be viewed in a browser or downloaded as a PDF. This report can also be emailed to any email address - not just team members - perfect for keeping your customers informed.

As we mark the last day of National Nurses Week in the U.S., Zebra’s Chief Nursing Information Officer and Healthcare Industry Principal, Kassaundra McKnight-Young offers an inspiring glimpse into the evolving role of technology in healthcare. Transitioning from over 31 years on the frontline, she remains dedicated to enhancing patient care by integrating innovative solutions that empower clinicians.

As AI adoption increases, the race to real, durable AI value intensifies. Almost every organization that can use AI is using AI — but one of the most troubling trends I’ve observed revolves around talent. Right now, most organizations use AI to increase internal efficiencies — do quick research, write quick emails, start a new project at the 50% mark rather than the 0% mark, etc. But some executives I’ve talked to are taking a more aggressive approach.

Let’s be honest, most AI (Artificial Intelligence) tools today are relatively smart but not always super useful. You ask them to explain something, write an email, maybe generate some code, but the moment you want them to do something real, like schedule a meeting, file a bug report, or move stuff across your tools, they just stare blankly. That’s where MCP comes in. MCP stands for Model Context Protocol.

We are standing at the threshold of one of the most transformative technological shifts in modern enterprise history. AI is no longer on the horizon – it’s here, it’s powerful, and it’s already reshaping the way businesses think about productivity, creativity, and competitive advantage. OpenAI’s recent report, ‘AI in the Enterprise‘, offers a concise and thoughtful roadmap for leaders seeking to implement AI within their organizations.