Latest UK & Global AI News

Nvidia CEO Jensen Huang said on Saturday that his forecast of a $200 billion market for CPUs includes China

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Senior decision-makers are the heaviest users of unapproved AI tools, and they continue using them despite being aware of the security and privacy risks linked to shadow AI, according to TrustedTech’s Shadow AI in the Workplace report. The study found that 65% of decision-makers use shadow AI, compared with 31% of employees below decision-maker level. Net Shadow AI use (Source: TrustedTech) The data suggests that shadow AI is not mainly driven by junior employees experimenting ... More → The post Turns out the C-suite loves shadow AI appeared first on Help Net Security .

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US tech giants are tapping markets as they race to build AI data centres

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The Scottish Government is facing calls to 'urgently address' what has been described as 'major shortcomings' in its policy on data centres

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Last year, analyst Forrester reported that while IT departments manage billion-dollar portfolios, their internal operations lag in automation, coordination and visibility. The complexity of managing a modern IT architecture means network management must evolve. This is not something that is entirely new. Automation is part of the functionality available in modern network management tools. Big data analysis of network log files is used in security information and event management (SIEM), and machine learning (ML) is helping network administrators identify potential issues before they affect the business. Phil Huang, business development and field application manager at D-Link, explains: “We have been offering a pure cloud management platform for networks for a number of years and the AI [artificial intelligence] assistance behind such network management gives us the ability to monitor in real time and also proactively try to alert of any potential problems that may arise.” Advances in tooling potentially reduce the complexity of network management. Matt Stava, CEO and chairman of third-party support firm Spinnaker Support, says this changes the role of IT administrators and programmers. Looking specifically at network skills, he says: “The need for a Cisco-certified expert is getting less and less right now.” Modern networking skills Modern IT infrastructure means that having an industry-certified network specialist is becoming less relevant. In a March 2026 blog post, Amit Katz, vice-president of ethernet switch at Nvidia, highlights the shifts occurring in network management. In the post, Katz points out that while the value of a new network administrator may have previously been measured by their level of expertise in a particular networking command line interface (CLI), the advent of hybrid cloud and DevOps means there is a growing shift towards application programming interfaces (APIs). “Skills in Ansible, Salt [the open source automation framework] and Python now have more value than a Cisco certification,” he says. Now, Katz believes the tasks network administrators need to do are very different from the way they used to monitor and manage networks. Skills in Ansible, Salt and Python now have more value than a Cisco certification Amit Katz, Nvidia “You’ve moved from tools that polled devices across the datacentre using SNMP [Simple Network Management Protocol] and NetFlow [which monitors IP traffic] to new switch-based telemetry models where the switches proactively stream flow-based diagnostic details,” he notes in the blog post. And according to Katz, while network administrators have a lot of experience introducing new workloads into datacentres – some of which have unique networking requirements – building an AI cluster is actually very different. He writes: “It is tempting to think that AI is just a bigger and faster big data application. But AI is different, and AI can be hard without the right tools.” AI also has a role to play in helping network administrators manage this complexity more easily. Information Services Group (ISG), a research and advisory firm, says organisations are taking advantage of the enhanced capabilities of AI and ML to automate configuration changes and optimisation across the network. In an ISG article about how AI is transforming network operations, Marc Herren, a director at ISG, notes that AI can analyse network data and identify patterns to automatically generate configurations that optimise performance. He says Cisco and Juniper Networks, the latter now being part of Hewlett Packard Enterprise, are developing intent-based networking products that use AI to understand an administrator’s intent and automatically configure the network accordingly. Such technology is essential to keep on top of ever-more-complex network management. Network complexity In a presentation at Microsoft Build 2025, Phil Gervasi, director of technical evangelism at Kentik, spoke about how networks are growing in complexity. They now span different clouds, datacentres, edge computing and hybrid IT infrastructure, all of which introduce new challenges for network management. “The volume of telemetry, events and logs has exploded beyond human capacity to analyse in real time,” he told attendees. At the same time, as Gervasi noted, network teams are under pressure to improve the mean time to resolution of an issue, and maintain uptime without expanding headcount. The volume of telemetry, events and logs has exploded beyond human capacity to analyse in real time Phil Gervasi, Kentik “What AI offers is not magic, but a better way to correlate data, forecast performance and understand network behaviour in context. So, in short, AI helps operators move from reacting to predicting,” he added. While ML is being used in networking for capacity planning, anomaly detection and baselining, Gervasi said that large language models (LLMs) offer a different approach to network management. “Unlike classical data models, which rely on structured data, LLMs operate on unstructured information like documentation, configuration files and tickets,” he told Build 2025 delegates. However, LLMs are probabilistic, which means they can produce inconsistent and different answers to the same prompts. They also hallucinate. To get around these limitations, Gervasi stressed the need to ensure quality of training data, proper evaluation and controlled model behaviour. These are key to keeping LLM responses honest. Privacy and regulation are also issues for LLMs, especially when handling network data that could contain sensitive information. Some IT operations challenges are inherent to AI use. For Gervasi, IT decision-makers need to be aware of the difficulties that may arise when integrating real-time telemetry, dealing with diverse data types, and managing compute costs for AI workloads. But, despite these caveats, Gervasi believes the real power of LLMs lies in their ability to synthesise vast volumes of data into information that can then be used by people to make better decisions. Among the examples he provided during his Build 2025 talk was incident triage and summarisation. “Instead of sifting through hundreds of alerts, an AI system can turn that noise into a single incident summary, highlighting probable root cause, and even suggesting next steps,” Gervasi said. Getting started with AI in network management The starting point in using AI for network management is collecting network telemetry logs, helpdesk ticket and configuration files. Those then need to be cleaned up and stored in a format that can be accessed by the AI system. Gervasi told delegates that one of the most effective ways to use this information is through retrieval augmented generation (RAG). As an example, he said when a user submits a query, the system converts the question into a mathematical representation, which searches a vector database for semantically related data, such as telemetry, past incidents or documentation. “The LLM then synthesises an answer, using both its general knowledge and the retrieved context,” he explained. Another use for LLMs is in text-to-structured query language (SQL), which, as Gervasi noted, enables network engineers to use natural language, where their queries are converted by the LLM into an SQL query and then, where relevant, provide a graphical representation of the data. Once the data is in a format the AI model can process, agentic AI is a natural progression. “An LLM doesn't just respond to prompts, but acts kind of like the brain, coordinating multiple tools,” he says. During the presentation, Gervasi spoke about how with agentic AI powering network management, an agent could run a trace route, collect network telemetry, consult a knowledge base, and then generate a remediation plan, all autonomously, but with human oversight. This is something that is likely to provide autonomous operations behind commercial network provider services. Analyst Gartner expects that AI will be embedded into managed network services (MNS) by 2028, to increase and enhance operational efficiency and enable more informed decision-making. According to Gartner, AI will be used to ensure that networks are robust and agile enough to adapt to changing demands and traffic patterns. “Looking ahead three to five years from now, we anticipate significant transformation in MNS due to extensive use of AI and automation,” the analyst firm stated in its AI will transform managed network services in the next three years report. For Stava and other industry watchers, the hot skill is agentic AI and the ability to integrate AI agents into workflows to achieve a business outcome. And these outcomes are increasingly IT-focused, especially as IT teams are being asked to do more with fewer resources and being put under increasing strain to support companies’ appetites for all things relating to AI. But AI also has a big role to play in making networks more manageable. As network management becomes more automated and networks become self-healing, network engineers will need to learn how to integrate the latest tooling with agentic technology to provide the data stream for AI-powered network management. Read more about AI in network management Agentic AI ushers in a new era of network management: Agentic AI will redefine network management. But IT execs have to understand the technology’s benefits – and its drawbacks. AI-driven self-healing networks bring new capabilities: Self-healing networks use AI to continuously monitor, diagnose and fix issues autonomously, shifting IT from reactive troubleshooting to proactive management.

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That could potentially undermine business transformation and erode productivity gains.

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Punggol Digital District will test whether Singapore can turn Physical AI pilots into scalable rules for cities, workers and industry.

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In AI-driven transformation, the real risk isn't the technology itself—it's leaders staying silent or vague at the exact moment employees need clarity, context and trust the most.

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A new report on the state of AI in technology marketing, released by Callan Consulting in April 2026, shows that artificial intelligence has moved beyond experimentation and is now embedded across most marketing operations. The report identifies more than 70 distinct AI applications: from lead generation and personalization to sales forecasting, market intelligence, and content creation. According to the findings, two-thirds of respondents, who were senior marketing specialists and organizations, say AI has a “strong” or “very strong” impact on their marketing teams, double the level reported a year earlier.... The post AI Is Now Default in Marketing, New Data Shows: Brands Shift Back to Human Creators as ‘No AI’ Signals Grow first appeared on Ethical Marketing News .

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FAYETTEVILLE, GA, UNITED STATES, May 25, 2026 /EINPresswire.com/ -- A new study presents a neural-network method for

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MicroLED short-range optical interconnects are attracting global R&D investment for their low power consumption and high-speed modulation, and AUO has formed a supply-chain alliance to pursue chip-scale optics for scale-up networking within racks. Microsoft, among other major players, is testing the approach for AI data-center links.

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Airbnb's CEO sat down with reporters in San Francisco after announcing the platform's most ambitious launch. This was the most revealing.

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Small businesses and accountants can now automate month-end close and approvals without coding, as early access opens to XeroForce.

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SINGAPORE - Media OutReach Newswire - 21 May 2026 - As part of its Future Forward strategy, global digital business services leader TP (ex-Teleperformance) is deepening its award-winning TP.ai Data Services capabilities across Asian markets. This is in response to rising enterprise demand for AI systems trained in local languages and compliant with evolving in-country data residency and governance requirements.As...

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AI agent use in customer service has jumped to 66% of organizations, up from 39% a year ago. But 55% still flag reliability and hallucinations as their biggest barrier to scaling.

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New paper teams AI agents with microscopy tools to increase productivity in research processes.

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Politico : Trump yanked AI order after David Sacks raised industry concerns ... But during a conversation with Trump, Sacks told the president that companies were already cooperating, and that having the federal government review models before their public release would slow down innovation and harm ...

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Samsung Electronics Co. has officially entered the KRW 300,000 stock price era, marking a historic milestone for South Korea’s capital market and signaling a dramatic turnaround for the nation’s largest company.On May 22, Samsung Electronics shares crossed the KRW 300,000 threshold during regular tr

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Elon Musk’s SpaceX files for a blockbuster Nasdaq IPO under ticker SPCX with a target valuation of $1.75 trillion. Here’s what Starlink growth, AI expansion and Nasdaq-100 inclusion could mean for global markets.

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AI in education is a problem, says Code Ninjas CEO Navin Gurnaney. But it's not cheating. Rather, it's passivity.

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Schools are shifting from AI bans to AI literacy in education, teaching students how to use AI responsibly, critically and effectively for the workforce.

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Ofcom has criticised TikTok and YouTube, saying in a new report that their content feeds are "not safe enough" for children.

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