Data

House of Lords AI summit highlights cyber threats

Technology industry leaders gathered in the House of Lords yesterday for a high-profile debate on the transformative role artificial intelligence (AI) will play in the UK jobs market. The discussion, chaired by Steven George-Hilley of Centropy PR, brought together experts to address key industry challenges, including the digital skills shortage and AI’s potential to enhance compliance and accelerate digital transformation across key areas of the UK economy. The debate highlighted the growing role of AI in reshaping traditional job roles and powering a new wave of relentless cyber threats which could damage British businesses. Key speakers, including Richard Cuda of Kasha, discussed the role AI and digital technology can play in helping entrepreneurs launch their own business. Leigh Allen, Strategic Advisor, Cellebrite, says, "In a world where police forces are under increasing strain to combat crime and national security threats, AI technology represents a key enabler in unlocking digital evidence and significantly reducing investigation times. Cellebrite delivers secure, ethical access to digital evidence, using AI to accelerate investigations while closing the digital skills gap for modern law enforcement. We don’t just respond to digital threats—we equip agencies to lead with confidence in a complex, tech-driven world." Dr Janet Bastiman, Chief Data Scientist, Napier AI, comments, "Financial crime is one of the biggest threats facing the UK economy right now, and in AI we have the answer. AI-driven anti-money laundering solutions have the capacity to save UK financial institutions £2.2 billion each year, helping to bolster compliance processes, improve the accuracy of transaction screening, and monitor transaction behaviour to more effectively identify criminal networks." Linda Loader, Software Development Director, Resonate, suggests, "AI has the potential to significantly enhance operations in the rail industry by enabling faster and more efficient services. But this must be underpinned by quality data to drive innovative solutions that prioritise security and robust protection for our critical national infrastructure. By exploring smaller AI use cases now, we can build a solid foundation and understanding for more extensive, secure transport applications in future." Chris Davison, CEO, NavLive, mentions, "By using cutting edge AI and robotics technology to create automated 2D and 3D models of buildings in real time, we can make retrofits, brownfield developments more efficient and contribute to sustainable building practices. NavLive saves architects, engineers and construction professionals time and money, by providing accurate real time spatial data across the lifecycle of a building." Richard Bovey, Chief for Data, AND Digital, states, "The AI winners are the businesses that have invested the most in AI experimentation, underpinned by years of strong data foundations, meanwhile, SMEs are quickly watching a widening AI gap. But all isn’t lost, investing in data and modern tooling can stop the slide, helping businesses to keep pace and preventing a significant competitive disadvantage from taking over." Arkadiy Ukolov, Co-Founder and CEO, Ulla Technology, says, "As AI adoption continues to skyrocket, we must ensure that privacy and data security remain a critical component of development. Most of the popular AI tools send data to third-party AI providers, which may use client data to train models. This is unacceptable for sensitive meeting discussions and confidential documents, as it opens them up to data leaks. Placing safety and ethics at the centre of the discussion is the only route that we can take forward as AI evolves." For more on cyber security, click here.

R&M launches latest inteliPhy software suite

R&M, the Swiss developer and provider of high-end infrastructure solutions for data and communications networks, has launched the sixth generation of the inteliPhy software suite on the market. The scope of application has been significantly expanded, and according to R&M, inteliPhy 6.0 thinks beyond the infrastructure of an individual data centre. This makes it easier to plan the expansion of fibre optic infrastructures between several data centres or at a larger site, the company states. To this end, R&M has equipped the software with geoinformation system (GIS) functions for geolocalisation in longitude and latitude. In particular, the software also offers a unique height service, which leads to significantly more precise values when calculating underground cable lengths. inteliPhy 6.0 can visualise telecom, provider and campus networks, as well as underground cable runs. The software from R&M also supports the local and remote management of the infrastructure of external sites such as edge data centres, for example. With inteliPhy, users can plan the infrastructure of a gray space and now also the cages in colocation data centres three-dimensionally. Components such as racks, patch panels, flexible enclosures, cable ducts, trunk cables and active equipment are added from the model library using drag and drop. Components can now also be searched for using part numbers. A new feature is the ability to design customised data centre spaces instead of using fixed-size tiles, thus increasing flexibility. R&M’s ActiPower connector strips for power distribution can now also be integrated using drag and drop. This means that with inteliPhy 6.0, iPDUs can be integrated at the click of a mouse. They are assigned to the object identifiers (OIDs) and their data is scaled or named in such a way that it is easy to understand. This allows the operator to manage the power distribution in the racks without errors. R&M offers the inteliPhy trial versions here. For more from R&M, click here.

Hitachi Vantara launches Virtual Storage Platform 360

Hitachi Vantara, the data storage, infrastructure, and hybrid cloud management subsidiary of Hitachi, today announced the launch of Virtual Storage Platform 360 (VSP 360), a unified management software solution designed to help customers simplify data infrastructure management operations, improve decision-making, and the delivery of data services. With support for block, file, object, and software-defined storage, VSP 360 consolidates multiple management tools and aims to enable IT teams, including those with limited storage expertise, to more efficiently control hybrid cloud deployments, gain AIOps predictive insights, and simplify data lifecycle governance. Organisations today are struggling to manage sprawling data environments spread across disparate storage systems, fragmented data silos, and complex application workloads, all while grappling with overextended IT teams and rising demands for compliance and AI readiness. A recent survey showed AI has led to a dramatic increase in the amount of data storage that businesses require, with the amount of data expected to increase 122% by 2026. The survey also revealed that many IT leaders are being forced to implement AI before their data infrastructure is ready to handle it, with many embarking on a journey of experimentation, hoping to find additional ways to recover some of the cost of their investments. VSP 360 seeks to address these obstacles by integrating data management tools across enterprise storage to monitor key performance indicators, including storage capacity utilisation and overall system health, helping to deliver optimal performance and efficient resource management. It intends to improve end-to-end visibility, leveraging AIOps observability to break down data silos, as well as streamlining the deployment of VSP One data services. “VSP 360 represents a bold step forward in unifying the way enterprises manage their data,” says Octavian Tanase, Chief Product Officer, Hitachi Vantara. “It’s not just a new management tool—it’s a strategic approach to modern data infrastructure that gives IT teams complete command over their data, wherever it resides. With built-in AI and automation and by making it available via SaaS, Private, or via your mobile phone, we're empowering our customers to make faster, smarter decisions and eliminate the traditional silos that slow innovation.” “VSP 360 gives our customers the unified visibility and control they’ve been asking for,” claims Dan Pittet, Senior Solutions Architect, Stoneworks Technologies. “The ability to manage block, file, object, and software-defined storage from a single AI-driven platform helps streamline operations and reduce complexity across hybrid environments. It’s especially valuable for IT teams with limited resources who need to respond quickly to evolving data demands without compromising performance or governance.” "VSP 360 hits the mark for what modern enterprises need," states Ashish Nadkarni, Group Vice President and General Manager, Worldwide Infrastructure Research, IDC. "It goes beyond monitoring to deliver true intelligence across the storage lifecycle. The solution's robust data resiliency helps businesses maintain continuous operations and protect their critical assets, even in the face of unexpected disruptions. By integrating advanced analytics, automation, and policy enforcement, Hitachi Vantara is giving customers the agility and resilience needed to thrive in a data-driven economy.” For more from Hitachi, click here.

NetApp builds AI infrastructure on NVIDIA AI data platform

NetApp, the intelligent data infrastructure company, has announced that it is working with NVIDIA to support the NVIDIA AI Data Platform reference design in the NetApp AIPod solution to accelerate enterprise adoption of agentic AI. Powered by NetApp ONTAP, NetApp AIPod deployments built on the NVIDIA AI Data Platform aim to help businesses build secure, governed, and scalable AI data pipelines for retrieval-augmented generation (RAG) and inferencing. As an NVIDIA-Certified Storage partner leveraging the NVIDIA AI Data Platform, NetApp gives NetApp AIPod users data infrastructure with built-in intelligence. NetApp intends to give customers confidence that they have the enterprise data management capabilities and scalable multi-tenancy needed to eliminate data siloes so they can develop and operate high-performance AI factories and deploy agentic AI to solve real-world business problems. “A unified and comprehensive understanding of business data is the vehicle that will help companies drive competitive advantage in the era of intelligence, and AI inferencing is the key,” says Sandeep Singh, Senior Vice President and General Manager of Enterprise Storage at NetApp. “We have always believed that a unified approach to data storage is essential for businesses to get the most out of their data. The rise of agentic AI has only reinforced that truly unified data storage goes beyond just multi-protocol storage. Businesses need to eliminate silos throughout their entire IT environment, whether on-premises and in the cloud, and across every business function, and we are working with NVIDIA to deliver connected storage for the unique demands of AI.” The NetApp AIPod solution built on the NVIDIA AI Data Platform incorporates NVIDIA accelerated computing to run NVIDIA NeMo Retriever microservices and connects these nodes to scalable storage. Using this reference design enables customers to scan, index, classify and retrieve large stores of private and public documents in real time. The intention is to augment AI agents as they reason and plan to solve complex, multistep problems, helping enterprises turn data into knowledge and boost agentic AI accuracy across many use cases. “Agentic AI enables businesses to solve complex problems with superhuman efficiency and accuracy, but only as long as agents and reasoning models have fast access to high-quality data,” says Rob Davis, Vice President of Storage Technology at NVIDIA. “The NVIDIA AI Data Platform reference design and NetApp’s high-powered storage and mature data management capabilities bring AI directly to business data and drive unprecedented productivity.” For more from NetApp, click here.

AI set to supercharge cyber threats by 2027

The UK’s National Cyber Security Centre (NCSC) has released a landmark cyber threat assessment, warning that rapid advances in artificial intelligence (AI) will make cyber attacks more frequent, effective and harder to detect by 2027. The digital divide between organisations with the resources to defend against digital threats, and those without, will inevitably increase.  Published on the opening day of CYBERUK, the UK’s flagship cyber security conference, the report outlines how both state and non-state actors are already exploiting AI to increase the speed, scale and sophistication of cyber operations. Generative AI is enabling more convincing phishing attacks and faster malware development. This significantly lowers the barrier to entry for cyber crime and cyber intelligence. Of particular concern is the rising risk to the UK’s democratic processes, Critical National Infrastructure (CNI) and commercial sectors. Advanced language models and data analysis capabilities are used to craft highly persuasive content, resulting in more frequent attacks that are difficult to detect.  Andy Ward, SVP International at Absolute Security, says, “While AI offers significant opportunities to bolster defences, our research shows 54% of CISOs feel unprepared to respond to AI-enabled threats. That gap in readiness is exactly what attackers will take advantage of." "To counter this, businesses must go beyond adopting new tools - they need a robust cyber resilience strategy built on real-time visibility, proactive threat detection, and the ability to isolate compromised devices at speed.” This latest warning forms part of the UK Government’s wider cyber strategy after announcing the new AI Cyber Security Code of Practice earlier this year. This will form the basis of a new global standard to secure AI and ensure national security keeps pace with technological evolution, safeguarding the country against emerging digital threats. For more from NCSC click here.

UK Digital Twin Centre opens in Belfast

The UK Digital Twin Centre has officially opened in Belfast, in what is believed to be a significant milestone for the UK’s digital innovation landscape. Delivered by Digital Catapult and funded by the Belfast Region City Deal and Innovate UK, the project is set to drive the next wave of industrial transformation by accelerating the adoption of digital twin technology across the UK’s critical sectors, projected to reach £62 million in GVA for the economy over the next decade. A digital twin is a dynamic virtual representation (‘twin’) of a physical asset, process, or system, bridging the physical and digital worlds. They turn data into real-time insights that can optimise performance, reduce costs, and predict outcomes before they happen. Since funding for the project was announced, Digital Catapult has brought together industry and innovators to identify adoption barriers and strategic interventions. At the Centre’s opening, the project’s co-investing industry partners – Artemis Technologies, Spirit AeroSystems, and Thales UK – utilised the facilities, including the 360-degree immersive space and advanced technology lab, to demonstrate how digital twins are helping to solve complex operational challenges. These early-stage use cases emphasise the power of cross-sector collaboration to create scalable, practical solutions while building expertise that can be shared across industries, ultimately improving product design, building supply chain resilience, and decarbonising operations. Programmes delivered by the UK Digital Twin Centre will help businesses across the UK to demystify, demonstrate, and deploy digital twins. With expert support, test environments and tools to experiment and validate, combined with shared learnings from industry use cases, it offers a practical route to adoption. The Centre has convened capabilities across digital twins' six enabling technology areas - intelligence, data services, immersive and UX, cyber-physical systems, integration, and security - to make this emerging technology more accessible and interoperable across sectors and suppliers. “The UK Digital Twin Centre marks a major step for Belfast, driving innovation in high-growth sectors like advanced manufacturing,” said the Lord Mayor of Belfast, Councillor Micky Murray. “Through the Belfast Region City Deal and with Digital Catapult’s UK-wide reach, we’re connecting our SMEs to a powerful network, unlocking access to new markets, collaboration opportunities, and cutting-edge technologies. This will boost local businesses, create high-skilled jobs, and drive real economic impact for the region.” The Centre’s first six-month Accelerator Programme, now open for pre-application expressions of interest, will support partnerships between tech SMEs and industry to fast-track digital twin adoption in maritime, aerospace, and defence. Alongside Innovate UK funding, participants will also gain access to mentorship, workshops, and specialist support to develop proofs of concept for enabling technologies - such as IoT, data integration, and simulation tools - bringing their solutions closer to real-world deployment. “The UK Digital Twin Centre brings together our technical expertise, facilities, and networks to unlock the power of deep technologies,” says Susan Bowen, CEO of Digital Catapult. “By connecting industries with cutting-edge technology through our programmes, we are enabling businesses to harness the full potential of digital twins-driving operational efficiencies, advancing sustainability, and sharpening the competitive edge of UK businesses.” Dean Cook, Executive Director for Place and Global at Innovate UK, adds, “Seeing real-world use cases coming to life at the UK Digital Twin Centre is a powerful demonstration of how digital twins can deliver tangible advances for UK industry. These cutting edge tools will solve complex business challenges in aerospace, maritime, and defence. It’s a testament to how we are leveraging the strengths of local innovation clusters across the UK, with Belfast bringing together it’s wealth of business and research expertise in digital technologies and advanced manufacturing. In turn this will have a positive impact on economic growth in Northern Ireland and across the UK.” Expressions of interest are now open for tech SMEs and industry leaders ready to collaborate on real-world challenges on the first UK Digital Twin Centre accelerator programme. To find out more, click here.

CommScope and Altnets powering the fibre takeover

As part of the UK Government’s Project Gigabit, internet service providers (ISPs) are working to upgrade the nation’s data infrastructure. As one of the UK’s leading fibre suppliers, Brighton-based Altnets has already been at the forefront of bridging the UK’s digital divide. Altnets and CommScope will accelerate these fibre rollouts, improve network resilience, and support the next phase of digital connectivity. Additionally, supplying CommScope’s products paves the way for Altnets to support the rollout of FTTX networks and central offices, which will be of key importance for the future of the nation’s economic prosperity. Paul Britnell, Co-Founder of Altnets, says, “We’re incredibly excited to support CommScope’s initiative to further support the UK telecoms sector, helping ISPs build faster and more resilient networks for the digital future. We are delivering high-density fibre connectivity solutions that are instrumental in FttX networks. Altnets is proud to play a key role in advancing the UK’s digital infrastructure." CommScope's central office fibre optic and broadband solutions give network operators and ISPs access to the scalable, high-quality infrastructure needed to satisfy the increasing demand for ultra-fast broadband and connectivity in the UK. By harnessing Altnets' established market position and logistical expertise, these advanced connectivity solutions will be available throughout the UK. Ronald Van der Kraan, VP Broadband – EMEA, comments, “We are pleased to be working with Altnets, who have vast industry expertise in full fibre products. We look forward to collaborating more to level up the UK’s digital infrastructure.” As a fibre optic specialist, Altnets is in a unique position to efficiently supply CommScope's products to UK clients, guaranteeing that network operators, and ISPs have access to advanced fibre networks with GPON, XGS-PON, and high-density fibre solutions to meet rising bandwidth demands, alongside high-capacity 5G and wireless deployments for fronthaul, backhaul, and small cells. Network operators must prioritise complete authority over their Optical Distribution Frames and fibre management systems and expand into high-processing Central Offices to accommodate the growing demand for data consumption. CommScope and Altnets ensure that the UK stays at the forefront of connectivity by providing innovative solutions that will drive the next phase of digital infrastructure. For more from Altnets, click here.

Innodisk launches SSD series for data centre applications

Innodisk, an industrial-grade flash storage provider, has announced the launch of its latest PCIe Gen5 SSD series, which is designed to meet the OCP Data Centre NVMe SSD spec v2.0 and the increasing demands of AI model training, big data analytics, and data-intensive environments. The new series supports multiple form factors, including U.2, as well as EDSFF E1.S, E3.S, and the brand new E3.L for data centre applications, catering to the diverse needs of enterprise and data centre environments. Innodisk tells us that the new series marks a new chapter for the company in terms of further fulfilling enterprise demands. The Innodisk PCIe Gen5 SSD, built with the latest PCIe Gen 5 x4 interface and NVMe 2.0 protocol, is designed to overcome the speed and latency limitations of traditional storage interfaces. With up to 128TB of high density NAND storage, it delivers speeds of up to 14GB/s (read) and 10GB/s (write), enabling lightning-fast data transfers for data-intensive applications. Enterprise data centres managing large-scale storage deployments and multi-tiered environments often require out-of-band and batch management capabilities, which present growing challenges. Innodisk PCIe Gen5 SSD addresses these demands with NVMe-MI for streamlined SSD management and multi namespace support, ensuring scalable and efficient storage operations. To ensure high quality and alignment with market trends, the PCIe Gen5 SSD aims to enhance integration with industry-leading data centre standards, such as OCP Data Centre NVMe SSD spec v2.0. Additionally, it is intended to be built for seamless integration with VMware, optimising compatibility with virtualisedenvironments and overall system performance. Innodisk’s PCIe Gen5 SSD also features advanced security mechanisms, ensuring robust data protection and seamless integration. Secure Boot technology authenticates digital signatures during firmware updates, preventing unauthorised modifications and ensuring that only trusted firmware is executed.

Lenovo data storage portfolio set to accelerate IT modernisation

Lenovo has announced its largest storage portfolio refresh in company history, unveiling new Lenovo Data Storage Solutions that prepare enterprise IT for the age of AI with better efficiency, performance and scalability. Ushering in a new era of AI-optimised storage that propels business transformation, the complete portfolio includes storage arrays, software defined storage (SDI), and new AI and virtualisation innovations to flexibly address rapidly evolving data operations. Using the solutions, businesses can easily run AI and data modernisation workloads on the next generation of trusted Lenovo ThinkSystem and ThinkAgile infrastructure, unleashing data to power real-time reasoning and confidently deploying AI and data modernisation workloads at scale. As business leaders seek tangible ROI on AI investment, EMEA IDC research commissioned by Lenovo found that data sovereignty, compliance and quality data are the most important AI implementation success factors among CIOs while scaling AI and data quality are among the biggest obstacles. The new portfolio reflects Lenovo’s ongoing commitment to delivering innovative storage solutions that meet the evolving needs of modern data centres while helping businesses get the most out of their data. “The new Lenovo Data Storage Solutions help businesses harness AI’s transformative power with a data-driven strategy that ensures scalability, interoperability, and tangible business outcomes powered by trusted infrastructure,” says Scott Tease, Vice President and General Manager of Infrastructure Solutions Product Group at Lenovo. “The new solutions help customers achieve faster time to value no matter where they are on their IT modernisation journey with turnkey AI solutions that mitigate risk and simplify deployment.” Marco Pozzoni, Director, EMEA Storage Sales at Lenovo Infrastructure Solutions Group, remarks, “This is a pivotal moment for our customers across EMEA. With organisations facing a range of complex challenges, our largest-ever data storage portfolio refresh delivers the performance, efficiency, and data resiliency required by data modernisation and enterprise AI workloads. At a time when businesses are increasingly looking for ROI on their tech investments, these next-generation data storage solutions will empower our customers to unleash the power of their data, securely.” The portfolio spans 21 new ThinkSystem and ThinkAgile models designed with the accelerated computing and efficiency that companies need to kickstart their AI journey, supporting employee productivity and maximising value with solutions for enterprise AI, virtualisation and sustainability. Key innovations include turnkey AI Starter Kits, the industry’s first liquid cooled HCI appliances and converged hybrid cloud and virtualisation solutions. The Data Storage Solutions are finetuned for easy deployment, faster inferencing, workload consolidation and lower total cost of ownership (TCO), delivering enhanced capabilities. • Lenovo ThinkAgile SDI V4 Series provides full-stack, turnkey solutions that simplify IT infrastructure and accelerate computing for data-driven reasoning and faster time to value for AI LLM inferencing workloads.• Engineered to put actionable data insights to work more quickly in business operations, the new Lenovo ThinkSystem Storage Arrays deliver up to three times faster performance while reducing power consumption, providing up to 97% energy savings and 99% density improvement over a Lenovo device featuring 10K HDDs for smaller data centre footprints and lower TCO and when upgrading legacy infrastructure.• New converged Lenovo ThinkAgile and ThinkSystem hybrid cloud and virtualisation solutions deliver flexible and efficient independent scaling of compute and storage capabilities, reducing software licensing costs up to 40%, maximising business value.• New Lenovo ThinkAgile HX Series GPT-in-a-Box solutions featuring Lenovo Neptune Liquid Cooling leverage the industry’s first liquid cooled HCI appliance to deliver turnkey AI inferencing that takes AI from concept to success across distributed applications, from edge to cloud, yielding up to 25% energy savings over previous generation to increase ROI and achieve data-driven breakthroughs.• New AI Starter Kits for Lenovo Hybrid AI Platform deliver a validated, flexible, and easy on-ramp for enterprise inferencing and retrieval-augmented (RAG) workflows. For more from Lenovo, click here.

Fluidstack selects VAST Data to power AI workloads

VAST Data, an AI data platform company, today announced that Fluidstack, the AI cloud platform, has selected the VAST Data Platform to join other partners in helping to power large-scale, high-performance AI workloads for Fluidstack’s global customer base. With VAST, Fluidstack can deliver enterprise-grade stability, security, and innovation for some of the most demanding AI training environments in the world. Fluidstack has built its business by managing end-customer workloads on third-party compute capacity – from VAST-powered AI cloud service provider customers to building dedicated GPU clusters on behalf of clients. Pushing the boundaries of what managed services can offer, Fluidstack uses a flexible problem-solving approach to help end customers manage and scale their workloads with unmatched reliability and agility. Our mission at Fluidstack is to take the complexity out of deploying and scaling AI infrastructure for our customers,” says César Maklary, President & Co-Founder of Fluidstack. “VAST’s platform gives us the advanced enterprise capabilities we need to deliver reliable, scalable, secure, and future-proof AI infrastructure for our customers as they build cutting-edge models to further AI adoption. The VAST Data Platform provides Fluidstack’s end customers with: • Reliable, secure data management: VAST’s enterprise-grade stability, multi-tenant security, and reliability were critical in supporting the demanding AI workloads that Fluidstack manages for customers, while the VAST DataStore’s multi-protocol support (S3, NFS, SMB) offered seamless interoperability for diverse application needs.• Future-proof AI infrastructure: To further support Fluidstack in building, operating, and managing AI infrastructure and workloads for customers, the VAST DataEngine provides integrated vector search capabilities, automated triggers, and intelligent data processing functions designed for large-scale model training and inference. Combined with the real-time data awareness and scalable semantic indexing of the VAST InsightEngine, Fluidstack is well-positioned to deliver increasingly intelligent, responsive, and globally efficient AI infrastructure services.• Fast access to distributed data at limitless scale: The VAST Data Platform’s unique Disaggregated Shared-Everything (DASE) architecture ensures these deployments can reach exabyte scale while remaining cost-efficient—helping Fluidstack empower organisations to use distributed datasets and enable globally-synchronised model training.• Bringing structure to unstructured data: The VAST DataBase serves as a transactional data lakehouse that supports trillions of vectors, allowing Fluidstack customers to index the entirety of their distributed data corpus for AI deployments - providing real-time data access for efficient querying, analysis, and retrieval of massive datasets. Fluidstack’s innovative approach to AI infrastructure delivery requires a data platform that can operate globally, securely, and with the performance to match cutting-edge AI workloads,” says Renen Hallak, Founder & CEO of VAST Data. “Together with Fluidstack, we’re helping customers turn visionary projects into reality. The combination of Fluidstack’s dynamic managed services with VAST’s global data fabric and advanced enterprise features is unlocking new possibilities for AI model training and development at scale. For more from VAST Data, click here.