Business & Technology
GARR & Cubbit launch storage network for universities
GARR and Cubbit have launched a pilot geo-distributed storage network for Italian universities and research institutions. They describe it as the first operational federated network of its kind in Europe for the sector.
The network is designed to give universities and research bodies a shared storage system running on infrastructure located in Italy. GARR is operating the platform on on-premises infrastructure distributed across the country, with an initial capacity of 1 petabyte.
Institutions can join by contributing their own storage hardware to the federation. This allows participants to use existing assets while keeping control of their data and how it is stored.
The project combines Cubbit’s distributed object storage software with GARR’s national research and education network. It is designed to keep data available even if one or more sites fail or go offline.
The rollout begins across GARR data centres in Bologna, Rome and Bari. A later phase will extend the platform to all eight of GARR’s data centres in Italy.
Data Demands
The launch reflects rising demand for storage across universities and research institutions as scientific datasets grow in size and importance. Research organisations also face stricter requirements around security, service continuity and where data is physically located.
The storage network is aimed at data with scientific, strategic and social value that must remain accessible over time and be shared securely between research groups. It is also intended to support compliance with regional rules, including requirements linked to measures issued by Italy’s National Cybersecurity Agency.
As part of the system, GARR is integrating DS3 Composer, Cubbit’s software-defined object storage, across its distributed data centres. The two organisations say this approach is meant to reduce dependence on external infrastructure providers and avoid technological lock-in.
Data on the platform is encrypted, fragmented and distributed across multiple geographic locations. This means no single site holds the complete dataset in exposed form, while users retain control over where their data resides.
Research uses
Planned uses include immutable backup repositories, disaster recovery, and long-term storage of partially processed datasets used for analysis and predictive reporting. Compatibility with the S3 standard is intended to let institutions add the system to existing workflows without changing the tools they already use.
The platform also allows institutions to set different service and protection tiers based on the type and value of data. Each participant can manage storage areas, access rights, projects and system configurations independently.
Although organisations share the same underlying infrastructure, each institution retains exclusive access to its own data. The system also allows selective access for specific datasets or projects, including for research groups outside the GARR network.
GARR plays a central role in Italy’s academic and research connectivity market. Its infrastructure spans about 24,000 kilometres of fibre, connects more than 1,000 sites and serves around 3 million users.
The network also supports the transfer and storage of large data volumes and the real-time monitoring of networks and services. That footprint gives GARR a base for adding storage services for universities and research bodies that want greater control over sensitive information.
For Cubbit, the project adds a high-profile research customer in Italy as it seeks wider adoption of its distributed storage software. Its technology is already used by more than 400 companies and partners, including Leonardo and Rai Way.
Massimo Carboni, chief technical officer at GARR, described the project as part of a broader effort to provide the research and education community with secure and sustainable digital infrastructure.
“For GARR, providing the research and education community with reliable, secure, and sustainable digital infrastructure is a strategic priority. The adoption of distributed, geo-replicated object storage solutions is a fundamental step in responding to the exponential growth of scientific data and new requirements for resilience, security, and regulatory compliance. Working with Cubbit allows us to retain full control over data while advancing a distributed, on-premises model consistent with GARR’s principles of digital autonomy and support for research,” said Massimo Carboni, chief technical officer, GARR.
Alessandro Cillario, co-CEO and co-founder of Cubbit, said the project showed that a storage network can be operated entirely within national borders.
“We are proud to work with GARR, an organisation of major strategic importance for Italy and its scientific community. This is a strategic collaboration to give the research and higher education community full control over its own data – ensuring autonomy, sovereignty, and resilience for one of Italy’s most strategically important ecosystems. This project shows that it is now possible to create a next-generation storage network operated entirely within national borders, combining high performance, local data control, and freedom from lock-in. It is a unique model in Europe, created through the combination of natively geo-distributed technology and a national high-speed network, designed to respond to the practical needs of Italian research,” said Cillario.
Business & Technology
AI set to transform transport management, Microlise finds
New research from Microlise shows 70% of fleet and logistics professionals expect artificial intelligence to begin fundamentally transforming transport management this year. The finding is based on a survey of 250 transport and logistics decision-makers.
That marks a sharp rise in confidence in AI’s role in transport operations compared with the company’s previous industry report, when 36% of respondents said the technology was being used to its fullest potential in the sector.
Just 14% disagreed that this year would mark a step change for AI adoption in transport management, while 16% were unsure.
The figures suggest a shift in sentiment among managers overseeing fleets, delivery networks and wider logistics operations. Businesses across the sector have been testing AI tools in areas such as route planning, vehicle maintenance, driver monitoring and compliance. The latest responses indicate that more decision-makers now see those systems as part of routine operations rather than experimental projects.
AI is being applied to route optimisation to reduce fuel use and empty miles, real-time driver performance analysis, predictive maintenance and load optimisation. Microlise linked that interest to pressure on operators to control costs and improve vehicle and asset utilisation.
Operational Focus
Transport and logistics groups have faced sustained pressure from fuel prices, labour shortages, vehicle downtime and tighter margins. Against that backdrop, the survey indicates that managers are looking to software tools to support day-to-day decisions and identify inefficiencies across fleet activity.
The latest findings suggest AI is moving from trial use into operational deployment. That matters for fleet managers because many of the sector’s earliest use cases are tied to direct measures such as mileage, maintenance schedules, delivery planning, and compliance checks.
By focusing on these areas, operators are trying to cut avoidable costs, keep vehicles on the road for longer and reduce disruption to delivery schedules. The results suggest many now see AI as relevant to those immediate business needs.
Attitudes Shift
The change from 36% in the earlier report to 70% in the latest research reflects a notable shift in how decision-makers view the technology. Rather than asking whether AI might eventually have a place in logistics, more respondents now appear to believe it is reaching a point where it will materially affect transport management.
That does not amount to unanimity across the industry. A combined 30% of respondents either disagreed or were unsure, indicating that some caution remains around the speed and scale of adoption.
That caution is not unusual in a sector where technology investments are often judged by clear returns in cost, service levels and reliability. For many transport operators, new systems must fit existing fleet processes and deliver measurable gains before they are widely adopted.
Even so, the balance of responses suggests confidence is building. For suppliers of fleet software and connected vehicle systems, that shift may indicate a larger market for AI-based tools aimed at planning, maintenance and driver oversight.
Nadeem Raza, chief executive of Microlise, said the responses showed a faster change in attitudes over the past year.
“This year’s findings show just how quickly attitudes towards AI are evolving across the transport sector. In the space of 12 months, we have seen a clear shift from curiosity around AI to a much stronger focus on how it can drive tangible operational value. For operators, this is no longer about future potential – it is about practical applications that improve fleet efficiency, reduce cost and strengthen competitiveness.”
“Those who embrace intelligent, data-led fleet management will be significantly better placed to navigate the commercial pressures facing the industry,” Raza said.
Microlise, established in 1982, provides fleet management and Internet of Things software and services. Its products are used by more than 2,500 clients globally. The company has offices in the UK, France, Australia and India, and employs more than 800 people.
It handles more than 800,000 subscriptions each year.
Business & Technology
Sparky Space launches AI platform to bridge learning gap
Sparky Space, a Berlin company founded by former German Air Force officer Nils Ristau and technology executive Daniel Schmitz, has launched an AI-based work platform now available worldwide.
The platform targets organisations trying to turn training and knowledge into day-to-day execution, a gap the founders argue persists despite heavy corporate spending on digital transformation, skills development and workplace tools. Sparky Space points to industry research suggesting that only 10% to 20% of learning is applied effectively in daily work.
Ristau said he founded the company after drawing on his military background and his belief that many businesses struggle less with access to information than with putting it into practice. In his view, companies often buy training, frameworks and software that remain detached from operational work.
“Most organisations don’t have a knowledge problem – they have an execution problem,” said Nils Ristau, founder of Sparky Space. “Companies are investing in training, frameworks and tools, but too often these sit in isolation from the reality of day-to-day work.
“What’s missing is the bridge between learning and doing. That’s where performance is either won or lost.”
The platform is designed to bring structured methods and AI guidance into live workflows, rather than offering separate learning modules or retrospective review tools. Teams can use it while working through business problems such as product development, strategic prioritisation and the adoption of generative AI in internal processes.
That approach reflects a wider debate in corporate technology over whether productivity and learning tools should remain separate from operational systems or be integrated into them. Businesses in sectors from manufacturing to professional services are under pressure to show returns on training and transformation budgets as economic conditions remain uncertain and teams are expected to work faster.
Ristau linked the product’s design to the discipline required in military settings.
“In military operations, success depends on disciplined execution under constantly changing conditions,” he said. “You don’t have the luxury of separating learning from action – they have to happen simultaneously.
“Modern organisations face similar complexity. Competitive advantage comes from how well teams perform – not just from what they know.”
Schmitz said the software was built for use during normal working routines rather than as another separate system employees visit occasionally. Many organisations already have enough tools and information, he said, but struggle to make them usable in real situations.
“We wanted to create something that teams would actually use in the flow of work,” said Daniel Schmitz, co-founder of Sparky Space. “There’s no shortage of tools or information in organisations today. The challenge is making them actionable.
“Sparky Space is designed to guide teams through real challenges – whether that’s developing a new product, prioritising strategic initiatives or integrating AI into everyday processes – in a way that is structured, repeatable and measurable.”
Use cases
The platform is intended to support innovation and customer-focused product development, agile project and portfolio management, strategic decision-making, leadership alignment and the use of generative AI in workflows. Cross-functional collaboration and product delivery are also among the areas it targets.
The launch comes as companies continue to test how artificial intelligence can be introduced into routine business operations without adding confusion or duplication. For many employers, the challenge is no longer simply gaining access to AI tools, but embedding them in existing processes while maintaining oversight and consistency.
Ristau said that issue helped shape the product’s approach.
“AI has enormous potential, but without the right ways of working, it risks becoming just another layer of complexity,” he said. “Organisations don’t just need access to AI – they need guidance on how to apply it effectively in real situations.
“That’s why we’ve built Sparky Space to combine human-centred methods with AI support, helping teams not only move faster, but also make better decisions along the way.”
The company is entering a crowded market that includes learning management vendors, workflow software providers and a growing number of AI assistants aimed at workplace use. Its argument is that these categories often leave a gap between knowing what to do and carrying it out consistently across teams.
Berlin remains a significant base for software start-ups serving international business customers, particularly in workflow, automation and applied AI. Sparky Space is seeking to tap that market with a product that links management methods with operational use across teams.
Ristau said the companies that succeed will not be those with the most information, but those that can consistently turn that information into action.
Business & Technology
BackLite UK launches Knightsbridge digital ad site
BackLite UK has launched a new digital out-of-home advertising installation at the Piccadilly Underpass in Knightsbridge as part of its Landmark Series.
The installation, known as The Knightsbridge, was developed with asset owner Wildstone. It features two 2.8m x 14.4m screens on the eastbound and westbound approaches near Hyde Park Corner.
BackLite UK says the location reaches traffic moving through Knightsbridge, Belgravia and Mayfair, with the displays visible to motorists and pedestrians travelling between some of central London’s best-known retail and leisure districts. The two screens generate more than 3 million fortnightly impacts, according to the company.
The site is close to luxury retail destinations, including Harrods and Harvey Nichols. Advertisers already appearing on the screens include Burberry, Club Med and Franck Muller.
London Refurbishment
The launch forms part of a wider refurbishment programme linked to an agreement between Wildstone and Multiply Media Group, the Abu Dhabi-based parent of BackLite UK, covering more than 10 London sites. Multiply Media Group entered the UK out-of-home market through its partnership with Wildstone.
Wildstone owns the Knightsbridge assets, while BackLite UK handles media sales. Westminster Council awarded Wildstone a long-term licence for the underpass through a competitive tender process.
BackLite UK has positioned The Knightsbridge within its Landmark Series, a collection aimed at advertisers seeking large-format digital sites in prominent urban locations. The range also includes The Cube @ Flannels, the Shoreditch Stack and the Wandsworth Roundabout.
At the centre of the upgrade is a pair of 1440 x 280-pixel digital screens supplied by Daktronics, a US LED manufacturer. BackLite UK selected Daktronics 10mm Outdoor Blue displays for the project.
The development adds to competition for premium outdoor advertising sites in central London, where supply is limited and large-format digital inventory near affluent shopping districts remains relatively scarce.
Jack Fleming, Head of Sales at BackLite UK, said: “The Knightsbridge is a fantastic addition to our Landmark Series, fitting perfectly within our most prestigious collection. There are very few OOH assets in the vicinity, and certainly none of this size and calibre. We quickly recognised the site was much more than an underpass, and worked closely with Wildstone to develop something that really stands out.”
Wildstone says the site was always intended for advertisers targeting the premium end of the central London market. The company has been expanding its role as an owner of outdoor advertising infrastructure while working with media operators on digitisation and upgrades.
Andrew Foster, Group Partnerships Director at Wildstone, said: “With its location in the heart of prime central London, we always believed this site was ideally suited to the premium end of the market. We were therefore excited to secure BackLite UK as our media partner, as its focus on luxury brand advertisers meant we were fully aligned on what the upgrade should entail. This is one of a number of high-end refurbishments we’re carrying out in partnership with BackLite UK and, given our success here, we’re excited to see what the future holds.”
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