Operations | Monitoring | ITSM | DevOps | Cloud

The Modern Data Center: How AI is Reshaping Infrastructure

The traditional data center is undergoing a dramatic transformation. As artificial intelligence reshapes industries from healthcare to financial services, it’s not just the applications that are changing—the very infrastructure powering these innovations requires a fundamental rethinking. Today’s data center bears little resemblance to the server rooms of the past.

AI in 2025: is it an agentic year?

2024 was the GenAI year. With new and more performant LLMs and a higher number of projects rolled out to production, adoption of GenAI doubled compared to the previous year (source: Gartner). In the same report, organizations answered that they are using AI in more than one part of their business, with 65% of respondents mentioning they use GenAI in one function.

How Sony improved IT incident management with AI-powered context and event correlation

Ben Narramore, Director of Global Operations and Service Management at Playstation, describes the impacts of adopting BigPanda AIOps on Sony’s operations, processes, and workflows. To learn more, watch the full webinar on How Sony expanded AIOps insights to Incident Management teams.

The Impact of Technology on Educating the Next Generation of Programmers

Technology is reshaping how aspiring programmers learn, practice, and master coding skills. With rapid advancements in artificial intelligence, cloud computing, and interactive learning platforms, traditional methods of teaching programming are evolving. The shift is not just about access to information-it's about engagement, personalization, and efficiency.

AI in Embedded Systems: A Black Box You Must Control

AI isn’t predictable, it adapts, making embedded engineering even more complex. A model that works in the lab might fail in the real world. So, how do successful teams deploy AI at the edge? A/B test models in the field—controlled environments aren't enough. Collect real-world performance data—observability tools are key. AI deployment isn’t a one-and-done process. It requires constant iteration and real-world validation.

AI-Driven Healthcare: How AIOps is Revolutionizing Medical IT Operations

The healthcare industry is undergoing a massive digital transformation, driven by artificial intelligence (AI) and automation. Among the most promising innovations is Artificial Intelligence for IT Operations (AIOps), which is reshaping how medical IT infrastructures are managed. From private practice billing services to laboratory billing services and patient management software, AIOps is bringing efficiency, accuracy, and cost savings to healthcare organizations.

Generative AI vs. Predictive AI: The Strategic Choice For Business Leaders

2022 was the "Model T" moment for generative AI, with ChatGPT making its grand entrance and shaking up digital transformation the way Ford changed mobility. The excitement and trust in AI are so real that VCs have funneled $3.9 billion into generative AI in Q3 2024 alone. 49% of companies are allocating new budgets to AI initiatives, and firms like Marsh McLennan have already deployed 40+ AI applications in production.

The AI Model Showdown - LLaMA 3.3-70B vs. Claude 3.5 Sonnet v2 vs. DeepSeek-R1/V3

Following all the hype and bluster with DeepSeek’s arrival in the AI landscape––and its ability to crash the poster child of AI’s share value overnight (Nvidia), we wanted to conduct a rigorous evaluation at Komodor. We tested DeepSeek’s models head-to-head against industry leaders in solving real-world Kubernetes challenges.