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Aerospace reignited: how innovation is taking off to meet govt targets

In November 2024, UK prime minister Keir Starmer announced a £975 million funding commitment to the Aerospace Technology Institute Programme over five years, signalling a renewed government focus on innovation, regional growth, and economic security. That message was reinforced in April 2025 with a broader £13.9 billion R&D package spanning aerospace, AI, and advanced manufacturing. Together, these moves underline the government’s view of aerospace as a strategic growth sector, not just for exports, but for national resilience and global competitiveness.

Once seen as too capital-intensive and risk-heavy for many investors, the sector is now at the forefront of deep tech progress, backed by soaring government budgets, dual-use defence urgency, and the rapid maturing of technologies like AI, advanced materials, and quantum computing.

“The two drivers for the industry as a whole are defence and space,” says Wil Benton, venture partner at Aerospace Xelerated, a global accelerator backed by Boeing, Rolls-Royce, and others. “Defence is where most of the budget is, and space is obviously the new cool thing.”

But what does this really mean for start-ups, innovators working within university labs and the larger corporations already established within these industries? As geopolitical pressures mount and the post-war mindset gives way to a more prepared footing, governments are pushing hard on innovation. And Benton, who is based in Vienna, sees a shift. “Europe is now starting to recognise we can’t just be living in a comfortable post-war situation,” he says. “We’ve got to be prepping for a pre-war situation.”

It certainly looks as though this thinking is fuelling a rise in innovation and in particular, dual-use start-ups – those building tech with both civil and defence applications in mind. Overcoming preconceptions has been part of this process.

“Six years ago, start-ups wouldn’t come out and say they were building defence companies,” says Benton. “Now we’re seeing companies identify as dual-use or defence-focused. It’s more palatable.”

Geopolitics has certainly had a lot to do with that, but even then it’s been something of a culture leap. That said, the growing convergence of technologies, such as AI, robotics and telecoms, is shaping these industries more than ever, which could help recruitment, certainly in terms of attracting younger talent.

This shift from cultural hesitation to strategic alignment is now being formalised through structured support programmes that help start-ups navigate aerospace’s complex regulatory and supply chain environments.

Start-ups that make it into Aerospace Xelerated’s programme undergo rigorous onboarding, including becoming Boeing suppliers before the programme even begins. “Becoming a supplier can be a one-to-five-year process. It’s very slow and expensive,” says Benton. “We do the heavy lifting so corporates and start-ups can just focus on working together.”

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BI Foresight

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Agentic AI could yield creative futures if it augments human workers

Can artificial intelligence systems capable of autonomous action and decision-making become a reality that augments human workers? Or will they be agents of oppression, hell-bent on efficiency?

Anyone who has been held in a customer service phone loop trying to resolve issues relating to products, services, accounts and so on will know the feeling – customer service can be a frustrating, time-consuming experience.

It feels like technology has not helped that much, so when Gartner trumpeted the prospects of agentic artificial intelligence (AI) last year, claiming it was a top tech trend for 2025, it felt a little hollow, something of a ‘here we go again’ moment. Was this a technology that would not only enable automated decision making, but would also form the bedrock on which more coherent and capable agents (AI or human) can operate?

Gartner refers to agentic AI as “a goal-driven digital workforce that autonomously makes plans and takes actions”. It sees it as “an extension of the workforce that doesn’t need vacations or other benefits”.

AI agents sit on top of this, beneficiaries of improved automated infrastructures and frameworks, managing and coordinating operational data. That’s the theory, at least, and recently Gartner doubled down, claiming that “by 2029, agentic AI will autonomously resolve 80% of common customer service issues without human intervention, leading to a 30% reduction in operational costs”.

This is echoed by GlobalData in its Automation 2.0: The rise of intelligent AI agents report, which calls agentic AI “a transformative force redefining the boundaries of automation”.

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Computer Weekly

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Why SLMs could be a big deal for businesses looking for an edge over LLMs

CIOs have been under immense pressure for some time to deliver successful digital initiatives while navigating budget constraints and increasing demands from senior executives. A recent Gartner survey reveals that 92% of CIOs anticipate integrating artificial intelligence (AI) into their organisations by 2025, yet 49% struggle to assess and showcase the technology’s value. Are we going round in circles here?

Amid these challenges, small language models (SLMs) have emerged as a compelling solution, promising lower-cost and more secure AI capabilities that can fit with strategic priorities. So much about SLMs makes sense.

“The AI community has been actively exploring small language models like Mistral Small and DeepSeek R1,” says Amer Sheikh, chief data scientist at BearingPoint. “These models have seen significant traction, as evidenced by the number of downloads on Hugging Face. Their popularity stems from their ability to trade off accuracy, speed and cost-effectiveness.”

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Computer Weekly

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What does the UK’s £14bn AI ambition mean for innovation and start-ups?

“I’ve long advocated for the government to act as a customer for AI start-ups,” says Nigel Toon, founder and CEO of Graphcore. “If government bodies can become early adopters, it could be a game-changer for UK innovation.”

Toon was speaking about the government’s recent AI strategy announcement. Built on Entrepreneur First co-founder Matt Clifford’s AI Opportunities Action Plan, the strategy is about “laying the foundations to enable AI.” This means a focus on improving access to quality data through, among other things, a national data library, as well as developing “AI growth zones” and incentives for upskilling.

It is without doubt a bold idea that has broadly received warm praise. For Toon, already a veteran in what is still a nascent AI industry, the strategy is welcome news but of course, it is still early days.

“Governments have struggled to pull the data piece together in the past, and whether there can be some breakthroughs now will be quite interesting,” says Toon. “It’s good to see investment in compute infrastructure, but we need to ensure it benefits not just research clusters but also smaller enterprises.”

The proof of government policy is in the delivery and this government will be judged on how it manages the complexities of public and private interests. Regulation, investment, and actually improving AI talent pipelines will be challenging. But also how this idea of enabling researchers and enterprises of all sizes to benefit and not to just let this be the realm of the highest bidder will be key to driving growth.

“The challenge is proving that the government can be a reliable and engaged customer for start-ups and SMEs,” says Toon. “Smaller, more innovative companies might actually solve some problems more effectively than the traditional IT suppliers government has historically relied on.”

Toon mentions access to computing power, such as Isambard-AI, as also key. Based at the National Composites Centre near Bristol, Isambard-AI recently revealed its role in helping researchers develop new tests and treatments for a range of conditions including Alzheimer’s, emphysema and different types of cancers.

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BI Foresight

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Art of the possible. Can SAP Labs’ AI plan accelerate cloud migration?

Nestled in the sun-kissed hills of Provence, just north of Cannes and Antibes, is Sophia Antipolis, a renowned technology and science hub that is home to SAP subsidiary SAP Labs France. There are worse places to work. Surrounded by Aleppo pines and the odd palm, this modern building has been chosen to host the company’s first ever dedicated artificial intelligence (AI) customer experience centre. According to SAP, this is to enable customers to “discover and experiment with AI”, but it has to be so much more than that.

In many respects, generative AI (GenAI) has delivered an opportunity to all enterprise software suppliers. It’s a momentary levelling of the playing field, and this is where SAP believes it can use the labs to grow its position, both with existing customers and into new markets through its partners. What this means in terms of accelerating migration to S/4Hana remains to be seen, but there is certainly an expectation at SAP that its push to embed AI within its portfolio will prove a boon for the business.

Getting customers to migrate to the cloud is key to SAP’s strategy because business AI is at the centre of its product roadmap, at least according to Jesper Schleimann, who was recently promoted to head of SAP business artificial intelligence for EMEA. No cloud, no AI. And that’s as big a carrot as SAP can dangle for any wavering on-premise users wondering whether they should migrate to the cloud.

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Computer Weekly

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Enterprise beams up GenAI and consumer UX to make key applications fly

The bizarre interview between Elon Musk and Rishi Sunak at the UK government’s AI Safety Summit earlier this month did little to champion the idea that humans are the solution to a potential artificial intelligence (AI) problem.

It did, however, suggest that AI will put an end to the need to work – not that either Musk, the richest person in the world according to the Bloomberg Billionaires Index (on 10 November 2023), or Sunak, reputedly the UK’s wealthiest ever prime minister, have anything to worry about.

It was also suggested that AI has the potential to be the “most disruptive force in history”. For most people and organisations, this is not news. Since the unveiling of ChatGPT 12 months ago, GenAI has emerged as a game-changer. Coupled with the increased consumerisation of enterprise applications, 2023 has to go down as a seminal year.

It’s certainly a time of rapid change in software development and application features. GenAI is now the recognisable face of AI, inspiring automation and changing the way businesses think about their relationship with software, data and business processes.

For instrance, one of the UK’s major telcos recently teamed up with IT consultancy Embracent to solve a slow onboarding problem for new joiners. The result is a GenAI-driven application called Sherpa, which now manages the process, including identity verification, generating and sending offer letters, and coordinating calendars and contacts of new colleagues. What is key here is that this wasn’t a dumbing down to fit the technology – it was a re-engineered experience, with GenAI doing all the grunt work.

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Computer Weekly

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Skin in the game. How a start-up is cracking one of the biggest challenges in robotics

Imagine a robot working in a field delicately picking strawberries, with the dexterity and soft touch of a human. Or a robot carefully handling nuclear waste materials with no damage from high radiation levels. Or a robot that has such a sensitive sense of touch that it can be used to tend vulnerable, post-operation hospital patients. For Dr Zaki Hussein, CEO and founder of Touchlab, these are all within the realms of possibility, thanks to the development of an e-skin that can replicate human touch.

Touchlab, which has just received a £3.5m injection of cash from early-stage investor Octopus Ventures, has created an e-skin that is thinner than human skin and yet, according to Hussein, can already withstand extreme environments, such as acid and high and low temperatures. Although robot skins are not new, one of the biggest remaining challenges for robot makers was the ability to create a human-like sensitive skin that, for one, would enable a more measured grip of objects.

According to Hussein, Touchlab’s e-skin uses just four wires (each the size of a human hair) to create a customisable material capable of measuring touch, force and position. It can be wrapped around new or existing robots and even works in conjunction with human tele-operated avatars.

The idea was borne out of Hussein’s initial PhD research into electronic skin, developing deformable patches to deliver drugs or get diagnostics on patients. This led to the creation of Touchlab. Currently based at the Higgs Centre for Innovation at The Royal Observatory in Edinburgh, the company plans to move to The National Robotarium, a centre for leading research and development in AI and robotics. It’s a clear indication of its future intentions, to collaborate and grow within an ecosystem of robotics start-ups and leading researchers.

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IDG Connect

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Why the fake news problem needs an AI and a blockchain solution

The Russian invasion of Ukraine has given new impetus to online fake news to the extent that anti-misinformation firm NewsGuard is currently tracking 201 sites that it claims are spreading myths about the war. It’s not a new problem. War, of course, only accelerates it and the tactic is as old as the hills – the British famously set-up a transmitter called Aspidistra in 1942 to transmit programmes that would try to convince the German people that the war was going badly for their country.

The problem is that misinformation appears to be growing and it’s not all about Russia and Ukraine. There was a spike during the height of the Covid-19 pandemic, as well as recent elections and referendums in the US and Europe. Where there’s an opportunity to polarise opinion, or to steal data, it seems fake news will increasingly emerge.

The worrying development though is that AI is now being used to disseminate fake news. Julia Ebner, senior research fellow at the Institute for Strategic Dialogue recently detailed how Russian AI was used to identify, amplify and exploit grievances online, in order to undermine peace in Western nations. Speaking at a recent Cityforum webinar, she said that in effect, Russian was using AI to weaponise extremist ideologies and conspiracies.

AI, though, has huge potential in fighting it too. We need it, because we have to remember; we are all prone to being duped. As the World Economic Forum warned in its recent report  ‘The Ability to ‘Distil the Truth’, it’s not just those with “with poor science knowledge, low cognitive abilities and a tendency to be accepting of weak claims,” that believe false stories. No one is immune, which is why a technology solution it the best way to go.

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IDG Connect

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Why automating finance is just an integration game

“For the next several years, leading technology providers must play a leading role in helping enterprises navigate the current storms of disruption,” says analyst firm IDC, promoting its forthcoming round of crystal ball predictions for 2023. No pressure then.

Of course, we’ve known for some time now that technology can be a differentiator. As Deloitte suggests in its report Automation with intelligence, “Organisations that are not afraid to embrace digital disruption are more likely to survive and thrive in the world of perpetual technological change”. Throw economic change, political instability and skilled worker shortages into the mix and we might be onto something.

It all centres around building organisational resilience, through improved decision-making and business process agility capable of reacting quickly to changing needs. McKinsey puts the onus for this on chief financial officers (CFOs), claiming “finance leaders are deeply involved in determining how businesses adapt to significant changes in how work gets done – particularly in places where digital and finance intersect”.

In truth, it’s difficult for CFOs and technology leaders to know where to prioritise investments that will have the biggest impact. The reality is that improving processes and integrating financial data into tools that enable improved planning and decision-making are increasingly key to business success. Given the current economic pressures and unprecedented skills shortages, this is clearly not an easy task. It demands investment and almost certainly calls for increased automation.

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Computer Weekly

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Retail reborn: How tech change has become a source of High Street hope

Technology can help reinvent the high street and deliver a new era of lean and mean retailers capable of capturing the imagination of a digital native generation.   Given the carnage of the last 12 months, it would be easy to dismiss retail, especially on the high street, as a spent force. The demise of Debenhams and Arcadia has understandably rocked the retail world but in fairness, this has been on the cards for some time. The COVID-19 pandemic has just accelerated what was already in motion, a retail market at a tipping point between the large, traditional stores of the past and the modern, digitally-driven stores of the future. The emergence of online-only retailers Asos and Boohoo as buyers of the Debenhams and Arcadia brands just confirms the changing of the retail guard. This is now a digital retail age and everything from supply chain management through to customer engagement is being data-driven. The challenge for the larger, traditional high street stores is how to adapt and adapt quickly. Some, such as Next, have already been better at it than others but as history has taught us, technology change can be a great leveller.

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ERP Today

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