Operations | Monitoring | ITSM | DevOps | Cloud

AI in Embedded Systems: A Black Box You Must Control

Feb 11, 2025 By Memfault In Memfault
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.
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opsmatters

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

Feb 11, 2025 By OpsMatters In OpsMatters
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.
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iOPEX

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

Feb 10, 2025 By iOPEX Team In iOPEX
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.
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Komodor

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

Feb 10, 2025 By Itiel Shwartz In Komodor
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.
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splunk

Solve Problems Faster with New, Smarter AI and Integrations in Splunk Observability

Feb 10, 2025 By Connor Tye In Splunk
As businesses scale across hybrid and multi-cloud environments and integrate AI-powered technologies, complexity grows — and with it, the risk of performance degradation and cost of downtime. To avoid facing customer-impacting IT issues, organizations need better ways to correlate data across environments, detect anomalies before they escalate, and resolve incidents more efficiently. That’s where Splunk and Cisco come in.
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puppet

Jekyll and Hyde: Taming AI Security with Automation

Feb 7, 2025 By Robin Tatam In Puppet
AI offers a world of promise for security teams, including potential for advanced threat detection, automated response capabilities, and enhanced data analysis for cybersecurity. But the same technology that supports cybersecurity teams can also be weaponized by threat actors — a true “Good vs. Evil", or “Jekyll and Hyde” scenario.
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Edge AI is a Game-Changer for Embedded Devices

Feb 6, 2025 By Memfault In Memfault
AI at the edge is built for embedded systems. And no need for tons of compute power— most of the heavy lifting happens during training so the models run efficiently on minimal hardware. With microcontrollers like STM32N6 optimizing for AI workloads, the potential is growing fast. Is AI at the edge part of your embedded strategy this year?
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