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nexthink

4 Key DEXOps Process Improvements

Mar 13, 2026 By Megan Brake In Nexthink
Most IT organizations want to improve the digital employee experience. But good intentions alone rarely move the needle. The real shift happens when organizations evolve how IT operates. Traditional IT operations are built around reacting to incidents. But ticket-based operations, or operations based on poor data, lack the ability to create truly predictive ways of working.
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nexthink

Digital Adoption + AI: The Secret Route to Zero Tickets

Mar 13, 2026 By Ella Drimer In Nexthink
Generative AI has the potential to transform workplace productivity – but do organizations know how to deliver on that promise? New research shows that employees who use generative AI tools engage with them up to ten times per day, spending over three hours per week interacting with AI at work. And yet within the same organizations, large groups of employees have never meaningfully engaged with these tools at all.
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civo

ABI recognises Civo as a global leader in NeoCloud innovation

Mar 13, 2026 By Civo Team In Civo
Civo has been identified by ABI Research as one of the world’s leading NeoCloud providers. The report underscores our focus on cloud and AI infrastructure that blends high performance, technical innovation, and strong sovereignty. Being included in the ABI NeoCloud report validates the work we have done to support modern AI workloads while giving organisations control over where and how their data is handled.
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Test your AI model training reliability, too

Mar 13, 2026 By Gremlin In Gremlin
Training is at the heart of every LLM model, but it’s still an application running on an infrastructure, which means it can fail. Our GPU test helps you test your training GPUs so you don’t lose that valuable work. TRANSCRIPT: One of the things we built recently was the GPU Gremlin. So if you are training a bunch of models and you're doing a bunch of GPU testing. You know, we want to give you the tools to be able to go test that, to understand how training the model could fail.
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upsun

Why mid-market IT teams lose control as dev velocity increases

Mar 13, 2026 By Upsun In Upsun
At a certain point, faster delivery stops feeling like progress and starts feeling like risk. When engineering teams scale from 10 to 50+ developers, the volume of infrastructure changes, database schemas, environment variables, and networking rules, no longer grows linearly. It scales exponentially. This is the scaling inflection point where manual governance breaks.
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iOPEX

EV Fleets Don't Fail on the Road. They Fail in the Workflow. Agentic AI Fixes That.

Mar 13, 2026 By iOPEX Technologies , In iOPEX
You spent the last decade obsessing over connectivity. You bought into the hype that ‘data is the new oil.’ You fitted your entire fleet with sensors and built massive dashboards to track everything from battery cell temperature to tire pressure. The mission was simple: Capture every metric. Congratulations, you succeeded. You are now drowning in terabytes of data. But here is the hard truth: Data without action is just expensive noise.
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influxdata

What is Industry 4.0? Everything You Need to Know in 2026

Mar 13, 2026 By Company In InfluxData
Industry 4.0 is the term used to describe the fourth industrial revolution, a name given to the integration of physical and digital systems, which includes the internet of things (IoT) and artificial intelligence that are transforming a huge number of industries. At a high level, its goal is to create an efficient, automated process for creating products or services that can be adapted quickly and efficiently to changing customer needs.
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selector

Cloud Observability Is Broken - Hybrid Operations Need a New Intelligence Model

Mar 13, 2026 By Dallon Robinette In Selector
Cloud adoption was supposed to simplify operations. Infrastructure would become programmable, scalability would become elastic, and distributed architectures would enable resilience at global scale. In practice, cloud has delivered extraordinary flexibility, but it has also introduced a level of operational complexity that traditional observability approaches were never designed to handle.
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