NEWS

The AI control gap: Challenges in modern software delivery

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AI speeds up software delivery but raises concerns about safety, pressure, and risk for developer teams. LaunchDarkly's report sheds light on these challenges.

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VIDEO

Survey reveals AI readiness gap

Nicolas Leszczynski, Principal Solutions Engineer at Riverbed Technology, discusses the findings of the company’s 2025 Future of IT Operations in the AI Era report. Despite record investments, only 12% of AI projects are fully deployed, caused by gaps in implementation, confidence, and data quality. Simultaneously, tool consolidation, OpenTelemetry adoption and resilient, cost-effective IT infrastructure are emerging as critical enablers of AI success.

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BLOG

From Cost Centre to Value Driver: A Strategic Approach to Observability in the Cloud

By Riley Peronto, director of product and solution marketing, Chronosphere.

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VIDEO

AI pacesetters likely to increase their business advantage in the near future

Rob Lay, Cisco, discusses the results from the third annual Cisco AI Readiness Index. A small but consistent group of companies surveyed — the ‘Pacesetters,’ about 13% of organizations for the last three years — outperform their peers across every measure of AI. The Pacesetters’ sustained advantage indicates a new form of resilience: a disciplined, system-level approach that balances strategic drivers with the data and infrastructure needed to keep pace with AI’s accelerating...

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VIDEO

AI - the solution to AI data centre expansion

Jackson Vo, President of Gridmatic Retail, discusses the pressures on Texas as a rapidly developing data centre hub, with operators asking the same urgent question: how can we secure reliable power while staying competitive on cost and advancing carbon-free goals? Jackson explains how Gridmatic, an AI-powered retail energy provider, is working with data centre customers like EdgeConneX to answer that question – by unlocking the hidden flexibility in large electrical loads.

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VIDEO

AI - why inferencing matters as much as LLMs

David Hurtado, Managing Director of Quetta Data Centers, discusses the impact of AI on the data centre market, explaining that today’s focus on LLMs and training will soon be joined by AI inferencing, where low latency at the edge will be crucial in delivering an optimised application experience. David also discusses the need for liquid cooling in high density data centre environments and outlines how Quetta is developing an AI data centre portfolio for the Iberian peninsula.

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Acquiring new customers amidst growing competition and dealing with sophisticated security threats...
Disparate tools and a reliance on manual processes lead IT teams to waste nearly half (42%) of...
Amdocs has released research findings that give a deeper and surprising look into communications...
New product innovations prepare data management for AI and democratize instantaneous AI-powered...
Workato has introduced Workato Agentic, the company’s low-code, no-code agentic orchestration...
Heliot Business Partner Program delivers a predictable & profitable model for the channel.
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Docker on IoT devices

Docker is an open platform for developers and system administrators to build, ship and run distributed applications. With Docker, IT organizations shrink application delivery from months to minutes, frictionlessly move workloads between data centers and the cloud and can achieve up to 20X greater efficiency in their use of computing resources. Inspired by an active community and by transparent, open source innovation, Docker containers have been downloaded more than 700 million times and Docker is used by millions of developers across thousands of the world?s most innovative organizations, including eBay, Baidu, the BBC, Goldman Sachs, Groupon, ING, Yelp, and Spotify. Docker?s rapid adoption has catalyzed an active ecosystem, resulting in more than 180,000 ?Dockerized? applications, over 40 Docker-related startups and integration partnerships with AWS, Cloud Foundry, Google, IBM, Microsoft, OpenStack, Rackspace, Red Hat and VMware.

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