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Edge observability takes centre stage
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Arturo Oliver, Sr. Director of Market Strategy & Analyst Relations at ScienceLogic, discusses why the edge is becoming the new frontier for observability- and what that shift means for enterprises trying to operate safely, intelligently, and at scale. Arturo highlights the key drivers behind edge observability, explains how organisations can leverage observability at the edge to extract actionable intelligence from fragmented edge telemetry, and why it is becoming foundational for autonomous, distributed systems.

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AI - is it time for a rethink?
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Claire Keelan, UK MD at Onnec, is warning that the UK will fall short of its AI ambitions and data centre expansion targets, unless it tackles the growing workforce shortage by tapping into underused talent – particularly women and flexible workers. With AI demand forecast to drive a fivefold increase in UK data centre capacity by 2030, and increasing investment from major tech providers, Claire says the sector won’t keep up unless it modernises how it attracts, trains, and mobilises people.

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AI - time for a rethink?

Claire Keelan, UK MD at Onnec, is warning that the UK will fall short of its AI ambitions and data centre expansion targets, unless it tackles the growing workforce shortage by tapping into underused talent – particularly women and flexible workers. With AI demand forecast to drive a fivefold increase in UK data centre capacity by 2030, and increasing investment from major tech providers, Claire says the sector won’t keep up unless it modernises how it attracts, trains, and mobilises people.

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Observability investments increase
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Joshua Clay, Senior Director Solutions Engineering at Dynatrace, discusses the findings of the company’s ‘The State of Observability Report 2025’, which reveals that while AI adoption is accelerating, concerns about reliability and trust make it challenging to transition initiatives from concept to production. To address this, business leaders are prioritising observability solutions to scale their AI projects, with more than two-thirds (70%) saying observability budgets have increased in the past year.

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Work AI Institute delivering real-world lessons for successful AI adoption
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Work AI leader Glean has launched the Work AI Institute, a first-of-its-kind research initiative - supported by faculty from Stanford, Harvard, Berkeley, Notre Dame, and others - dedicated to decoding what actually drives results when companies commit to operating with AI at the core of their businesses. As part of that launch, the institute has released a new report, founded by Glean and led by Stanford’s Bob Sutton and organisational psychologist Rebecca Hinds, PhD, which reveals that most failed enterprise AI pilots weren’t technology problems, but instead, coordination problems. In this interview, Rebecca discusses the report’s findings in detail, providing many great insights as to the best approaches for companies to take to ensure successful AI adoption.

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Survey reveals AI readiness gap
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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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AI pacesetters likely to increase their business advantage in the near future
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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 evolution. Rob explains what sets apart the Pacesetters and also offers advice to the majority of organisations who are caught in the gap between AI ambition and operational readiness.

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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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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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General disillusionment with GenAI - but (other) AI can help
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Maxime Vermeir, Senior Director of AI Strategy at ABBYY, discusses the results from ABBYY’s State of Intelligent Automation: GenAI Confessions 2025 survey, which reveals challenges in implementing Generative AI (GenAI) – prompting the use of other AI to improve outputs. He explains that businesses are spending money on GenAI tools that promise more than they can provide and advises that before moving forward with leveraging GenAI tools for agentic AI, companies need to first evaluate their current processes and create a visibility map of their workflow with data analytics tools such as process intelligence.

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AI adoption prompts major cybersecurity adjustments
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Mike Arrowsmith, CTO at NinjaOne, shares valuable insights into a number of cybersecurity issues, explaining how AI adoption itself isn’t problematic when done thoughtfully – but lack of cyber awareness in this context is a cause for concern; how traditional IT and security silos are collapsing as AI demands more collaboration across the enterprise; and how AI brings with it likely challenges around shadow IT. Mike also highlights some non-AI related cybersecurity topics, before sharing a few highlights of the NinjaOne roadmap.

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Agentic AI that benefits all
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Caroline Monfrais, Global VP Strategy & Transformation, Wipro Consulting, looks at, for all the talk around cohesive AI implementation strategy and the evolution of AI Agents, what needs to be done now so that this technology helps rather than hinders human workers? Caroline shares multiple examples of how organisations, from banking to telecoms, are already using agentic AI as the catalyst to reimagine their businesses.

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AI might be here and now, but quantum computing is looming on the horizon

Daniel Thorpe, JLL's Head of Data Center Research, EMEA, outlines the findings of the company’s new "The Future of Quantum Real Estate" report, which details how quantum computing is emerging as the next major technological force, set to profoundly impact real estate – especially the data centre sector – similar to AI's recent revolution. Daniel discusses quantum investments, quantum computing infrastructure requirements, the emergence of global quantum hubs and the likely integration of quantum processing units into existing data centres, leading to hybrid facilities.

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AI might be here, but quantum computing is looming on the horizon
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Daniel Thorpe, JLL's Head of Data Center Research, EMEA, outlines the findings of the company’s new "The Future of Quantum Real Estate" report, which details how quantum computing is emerging as the next major technological force, set to profoundly impact real estate – especially the data centre sector – similar to AI's recent revolution. Daniel discusses quantum investments, quantum computing infrastructure requirements, the emergence of global quantum hubs and the likely integration of quantum processing units into existing data centres, leading to hybrid facilities.

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The hidden economics of AI: balancing innovation with reality
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Chris Carreiro, CTO, Park Place Technologies, explains why so many AI ambitions are faltering and how organisations can navigate this complex landscape. Core issues to address include the underestimation of AI's total cost of ownership, flexible strategies to account for potential future compliance costs, managing hidden implementation costs and balancing infrastructure with sustainability. Technology-wise, Chris explains the increasing importance of liquid cooling within the data centre.

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News

Hyland has expanded its enterprise content management (ECM) portfolio with new updates aimed at enhancing AI capabilities, automation, and management of unstructured data.
Logicalis' annual report highlights the ascent of AI in organisations, underlining the need for robust governance frameworks to align with technological advancements.
Infosecurity Europe 2026 unveils keynote speaker line-up, linking military, sport, and tech expertise with the advancing cyber security sector.
Exploring the impact of AI in telecoms, Colt's report underlines the necessity for a people-first approach to AI to mitigate employee concerns and embrace opportunities.

Expert Opinions

By Karthik SJ, General Manager of AI at LogicMonitor.
By George Tziahanas, AGC and VP of Compliance at Archive360.
By Matt Middleton-Leal, Regional Vice President EMEA, Qualys