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Hybrid IT creates observability challenges, and opportunities
  • Posted on 15th April 2026 in by Phil Alsop

Cullen discusses the findings of the company’s recent 2026 SolarWinds State of Monitoring & Observability Report, examining how IT teams are navigating increasingly fragmented hybrid environments, and in turn, how AI is reshaping modern observability. AI AI is accelerating incident response, reducing noise, and closing visibility gaps across increasingly complex IT environments, with organisations increasingly prioritising platforms that unify data, automate insight, and lay the foundation for autonomous operational resilience.

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Mind the gap - addressing the risk of shadow AI
  • Posted on 14th April 2026 in by Phil Alsop

Oliver Simonnet, Lead Cybersecurity Researcher at CultureAI, discusses the findings of the company’s The State of Enterprise AI Usage: The Illusion of Control report, which reveals a growing gap between how AI is used in practice and how organisations believe it’s being controlled. The report shows that, while 72% of organisations believe they have full visibility into AI usage, 65% still report detecting unauthorised shadow AI, revealing a structural gap between perceived control and operational reality. Oliver goes on to explain how, in order to adopt AI at scale responsibly, businesses must move beyond policy and implement real-time, enforceable controls where risk is actually created.

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The AI grace period is over - ROI in months not years
  • Posted on 30th March 2026 in by Phil Alsop

Alex Adamopoulos, Chairman and CEO of Emergn, discusses the results of the company’s new research, which reveals that enterprise leaders now expect measurable returns from AI investments within months, not years and patience is rapidly running out. The findings show that AI has shifted from behind the scenes pilots to a core driver of revenue, with zero organisations reporting that they remain uninvolved in AI initiatives.

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Edge observability takes centre stage

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?
  • Posted on 3rd March 2026 in by Phil Alsop

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?
  • Posted on 3rd March 2026 in by Phil Alsop

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
  • Posted on 14th January 2026 in by Phil Alsop

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
  • Posted on 7th January 2026 in by Phil Alsop

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

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

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
  • Posted on 6th November 2025 in by Phil Alsop

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
  • Posted on 19th October 2025 in by Phil Alsop

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

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

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

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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News

Identify cooling system anomalies early and prevent costly outages weeks before they occur.
OutSystems introduces a new AI development approach, enhancing enterprise software with Agentic Systems Engineering.
HPE has introduced new security innovations designed to help organizations scale distributed operations, reduce cyber risk, and maintain consistent governance as AI adoption accelerates across the enterprise.
Seasoned capital markets leader to steer finance strategy as hyperscale demand accelerates for cloud and AI.

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