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• Apple is reportedly prepping a big Health app revamp for iOS 19
• It will feature a new health coach feature
• A new rumor says it will be powered by AI and could replicate a real doctor 'at least to some extent'

Following reports that Apple is planning a major overhaul of its Health app in iOS 19, fresh and more detailed information has revealed that it might feature an AI agent that would act like a virtual doctor.

Earlier this year, Bloomberg's Mark Gurman reported that Apple "is planning a revamped Health app – as well as an AI-based coaching service."

Now, the same source says Apple is working on a health coach that could replicate your doctor.

Writing in his latest Power On Newsletter, Gurman notes that some of the company's grander health plans – notably, blood glucose monitoring – are still a way off. As such, he says Apple has turned to something that could arrive much sooner.

"The initiative is called Project Mulberry, and it involves a completely revamped Health app plus a health coach," he writes. Most notably, Gurman says, "The service would be powered by a new AI agent that would replicate – at least to some extent – a real doctor."

Apple's AI Doctor

Apple Watch is sure to play a key role in the Apple Health revamp (Image credit: Future)

According to Gurman's report, we can expect this major health revamp "as early as iOS 19.4". Sadly, that means it's unlikely to feature on the best iPhones until next year.

Gurman says the Health app will collate data from your iPhone, Apple Watch, earbuds (such as future AirPods with heart rate monitoring), and other third-party products.

Then, the AI coach "will use that information to offer tailor-made recommendations about ways to improve health."

Apple is reportedly training its AI agent with data from physicians who work at Apple, and the company wants to bring in other doctors with expertise in sleep, nutrition, mental health, and more. Gurman says Apple will create videos to serve as explainers about certain conditions, along with pointers to make lifestyle improvements.

The videos are being filmed at a facility in Oakland, California, according to the report, and Apple is "also seeking to find a major doctor personality to serve as a host of sorts for the new service, which some within Apple have tentatively dubbed 'Health+.'"

Another big part of the app will be food tracking, with Apple taking on the best fitness apps like MyFitnessPal. With Apple Watch integration a certainty, it's likely that some of these Health upgrades will find their way into watchOS 12, too.

Gurman says the app is the top priority of Apple's health team, and it may even lean on data from cameras on devices in the future.

While a revamp of the Apple Health app is an exciting prospect, it's one that probably won't arrive in time for the iPhone 17 in September, although it's possible that some features could debut earlier, with the AI-powered agent following later down the line.

With Apple delaying other Apple Intelligence features like its big Siri upgrade, the company needs a big AI win and fast. Is an AI-powered doctor the answer?

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• Report claims enterprises share 7.7GB/month with GenAI apps, up from 250MB in 12 months
• Netskope finds three-quarters of employees use personal accounts for AI tools
• A stark rise in shadow AI has been observed

Enterprises have seen a staggering 30x increase in the amount of data they share with generative AI apps in the past year alone, highlighting the huge potential for vulnerabilities without the right amount of protection, new research has declared.

Findings from Netskope claim the average organization now shares 7.7GB per month with such apps, up from 250MB in 12 months.

Among the data shared is sensitive information, like source code, IP, regulated data, passwords and keys - with Netskope now urging businesses to consider how they share their data with third parties.

Sharing sensitive data with GenAI apps

Although many instances relate to the proper use of AI tools, Netskope’s research highlights the alarming rise of shadow AI, defined as artificial intelligence tools that employees use without authorization or approval from their companies. Nearly three in four (72%) enterprise users use GenAI apps with personal accounts for work.

On the whole, enterprises are struggling to keep up with the pace of AI tool adoption, and a great example of this is DeepSeek AI. Nine in 10 (91%) enterprise users had used DeepSeek within weeks of launch, but most companies lacked robust security policies.

Netskope also criticized enterprises for adopting a block-by-default approach – by restricting user access to AI tools, workers are more likely to engage with shadow AI, putting businesses at an even higher risk. Instead, companies should consider safely enabling them.

Interestingly, the report reveals a notable trend toward local GenAI infrastructure, with 54% of organizations running local versions compared with fewer than 1% a year ago.

“[GenAI is] becoming increasingly integrated into everything from dedicated apps to backend integrations,” said Ray Canzanese, Director of Netskope Threat Labs.

“This ubiquity presents a growing cybersecurity challenge, demanding organizations adopt a comprehensive approach to risk management or risk having their sensitive data exposed to third parties who may use it to train new AI models, creating opportunities for even more widespread data exposures,” Canzanese added.

Looking ahead, Netskope is urging enterprises to assess their tools, users and use cases to provide safer and more personalized solutions.

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• Superman will reportedly feature a cameo from a Guardians of the Galaxy star
• The actor is supposed to be playing Jor-El, aka Superman's Kryptonian father
• Director James Gunn hasn't debunked the rumor yet

A Guardians of the Galaxy (GotG) alumnus is set to have a small but important role in this year's Superman movie, according to a new rumor.

Taking to Reddit last Friday (March 28), industry insider ViewerAnon suggested that one Marvel Cinematic Universe star is crossing over into the DC Universe (DCU). The actor in question is reportedly going to play Jor-El, aka the Kryptonian father of Kal-El/Clark Kent, in a cameo capacity.

Potentially big spoilers immediately follow for James Gunn's Superman movie. Do not proceed if you don't want to know who's supposedly playing Jor-El!

Has Bradley Cooper joined the cast of James Gunn's Superman film? Comment from r/DCULeaks

As you'll have seen in the above Reddit post, ViewerAnon claims Bradley Cooper will play one of Superman's biological parents in the DCU Chapter One movie. The leaker revealed the cameo appearance after getting into an online spat with a fellow Reddit user.

It's unclear if Cooper, who voiced Rocket Raccoon in Gunn's GotG movie trilogy, is actually part of Superman's extensive ensemble. Other notable insiders haven't backed up or debunked ViewerAnon's leak, so it's difficult to discern if there's any truth to this particular piece of gossip.

There are, though, some signs that there may be more than a shred of credibility to this. For one, Gunn hasn't quashed the rumor on social media. The DC Studios co-chief is usually quick to disprove inaccurate information about DCU projects that gets leaked online. As of the time of publication, though, Gunn hasn't commented on Cooper's apparent involvement.

Superman had a test screening and from what I hear people loved it.March 27, 2025

Then, there's the fact that Superman reportedly had a test screening late last week. According to another leaker in Daniel RPK, one of the DCU Chapter One projects we're most excited for was shown to some lucky people on March 28. If that's true, it's no coincidence – to me, anyway – that the Cooper casting rumor appeared online mere hours after a secret screening for one of 2025's most anticipated new movies was held.

With CinemaCon 2025 set to take place this week (March 31 to April 3), there are bound to be some new details –maybe we'll be treated to a new trailer or sizzle reel? – about Superman in the days ahead. Indeed, the DCU film will have a sizeable presence at CinemaCon and should feature in some capacity during Warner Bros' 'Big Picture' presentation tomorrow (April 1). Just don't expect to hear anything about Cooper's apparent Superman involvement during said panel.

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• Some models of the Samsung Galaxy S26 will reportedly use an Exynos 2600 chipset
• However, it sounds like others will still have a Snapdragon chipset
• Snapdragon chipsets are generally more powerful, but the gap might be closing

The Samsung Galaxy S25 series has been a bit of an anomaly, as while Samsung usually uses two different chipsets for its Galaxy S phones (depending on the model and region), this year it used the Snapdragon 8 Elite across the board. Next year, though, we might see a chipset split again.

This is according to reputable leaker @Jukanlosreve, who claimed on X that “the Exynos 2600 is definitely back and it will be used in the S26.” However, it doesn’t sound like this will be a complete switch from Snapdragon, as they added that chip volume is apparently limited.

So, in other words, Samsung might not be able to produce enough Exynos 2600 chipsets to equip every Samsung Galaxy S26 model with one, meaning that some models and/or some regions will probably get the Snapdragon 8 Elite Gen 2, or whatever Qualcomm ends up calling its next-generation chipset.

The Exynos 2600 is definitely back and it will be used in the S26.But the chip volume is so limited that it’ll likely be similar to the Exynos 990 situation.I’m not sure if SF2 is actually any good.March 30, 2025

Typically, when Samsung uses two different chipsets, it equips US versions with a Snapdragon one, while elsewhere the base and Plus models get Exynos, and the Ultra still gets Snapdragon. So, based on past form, the Samsung Galaxy S26 and Samsung Galaxy S26 Plus might use the Snapdragon 8 Elite Gen 2 in the US and the Exynos 2600 elsewhere, while the Samsung Galaxy S26 Ultra might use the Snapdragon 8 Elite Gen 2 globally.

Differences in power and efficiency

What does that mean for you? Well, Qualcomm’s Snapdragon chipsets tend to outperform Samsung’s Exynos ones, so we were quite happy to see the Snapdragon 8 Elite used globally with the Galaxy S25 series. But in fact, the Exynos 2400 used by the Samsung Galaxy S24 series in some regions wasn’t drastically far behind its Snapdragon rival.

In our own tests, comparing an Exynos-powered Samsung Galaxy S24 with a Snapdragon-powered Samsung Galaxy S24 Ultra, we found that “you won’t notice this performance difference in general use, as both of these phones are way faster than they need to be.”

And there are some areas in which the Exynos 2400 actually appears to outperform that generation’s Snapdragon chipset. For example, Android Authority found that battery life was better with the Exynos.

So, if you live in a region where the Samsung Galaxy S26 gets an Exynos 2600 chipset, that might not actually be such a bad thing.

In any case, it’s very early days for Samsung Galaxy S26 leaks, as these phones probably won’t launch until 2026. So, although this isn’t the first time we’ve heard that the Exynos 2600 might be used in next year's lineup, we can’t be at all confident of which chipset or chipsets will be used just yet anyway. For now, then, we wouldn’t worry too much about this possibility.

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• We used our WhatsApp channel to ask which online backup service our readers use
• 2,664 readers voted, and a staggering 1,300 choose Google Drive
• Let us know in the comments which service you use

To mark World Backup Day, we asked our TechRadar Pro readers which services they use through our WhatsApp channel (which you can join here!).

Most of us choose to backup our files online. It saves you from buying physical hard drives every time you run out of storage, and your storage is just one click away, making it super accessible. You’ve plenty of options too - with Apple Cloud, Microsoft OneDrive, Google Photos, and iDrive all amongst the most popular choices.

From our readers' responses, one cloud provider is by far the most popular, and that's Google Drive, with over 1,300 respondents choosing the service - that's over 50%. We’ve reviewed Google Drive, so this is not too much of a surprise - as the service is quick and simple to use.

Worryingly, the survey revealed 10% of our readers still don’t back up their files, so if you're one of those who need convincing, we’ve listed 5 reasons why you should backup your data to the cloud - be sure to keep your data safe!

Backup options

Apple Cloud also ranks very well, with 21% of our readers using this service. This service is very Apple centric, with only limited support for Windows and Android users, but is a great option for anyone with an ever more popular Apple ecosystem! Apple offers a tiered subscription service, and keeps your files safe with an encryption - check out our full review here to see just why this service is the most popular.

Another popular choice is OneDrive, with 377 respondents choosing this service (14%). From our testing, OneDrive has improved a great deal recently, and is particularly useful for anyone who already spends a lot of time using Windows. OneDrive has fantastic mobile app experience, and is integrated closely with Windows and Microsoft 365 - so check it out if you use these regularly.

Surprisingly, DropBox received fewer than 100 votes, despite being one of our best rated backup services. Although not the cheapest option, DropBox has plenty of useful file sharing options and an exceptionally smooth user experience.

Similarly, IDrive only received 16 votes from our readers, but is a very highly rated service by our experts. IDrive offers end-to-end encryption and a host of backup methods and device options, so take a look at our rating if you're looking for something new.

Whichever service you choose, making sure your data is protected should be a priority for both personal and business users.

"Data is the lifeblood of today's businesses, which means data loss can lead to catastrophic business failure," notes Alexander Huang, Director of Product and Customer Support at Laserfiche. "World Backup Day is a reminder to act now - before it’s too late. Organizations should evaluate their backup strategy today and safeguard your business against data disasters.”

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Samsung has launched a new vacuum that uses AI to identify the exact kind of floor it's on, and it has convinced me – if there could be any doubt – that not every appliance or gadget needs AI.

The Samsung Bespoke AI Jet Ultra is designed to be able to sense its exact environment, so it can determine whether it's on a hard floor, a regular carpet, a deep pile carpet, or a rug. It can also sense when it's close to the corner of a room, and if it's been lifted up. It uses all this information to adjust its suction and brushroll speed for the most efficient clean.

It's more complicated than simply increasing suction on thicker floor types. The adjustments are designed to deliver the equivalent of medium power mode, while ensuring the vacuum is still easy to push forwards – super suction is one thing, but it's no good if it's so strong that you can't move the floorhead. The idea is that it puts the rest of the best vacuums on the market to shame by delivering the smartest, most battery-efficient, effective clean possible.

The Samsung Bespoke AI Jet Ultra is designed to be able to tell between many different floor types (Image credit: Future)

In theory, it makes sense. Deep-pile carpet requires greater suction to lift away dirt than hard flooring, where the dust and debris will just be resting on top. However, I'm not convinced that it's much more granular than that, or that a vacuum changing its suction when moving from a carpet to a thicker carpet will lead to a noticeable improvement in cleaning efficiency.

That's assuming it all works as it's meant to – and, based on my tests at least, it doesn't. You can get the full low-down by reading my Samsung Bespoke AI Jet Ultra review, but the short version is that such adjustments were hit-and-miss.

While I could hear suction changing when moving from my lino-floored kitchen to my carpeted lounge, I couldn't hear a change when moving from my carpeted floor to my bath mat (placed in my lounge for the testing purposes). Nor was there a message on the vacuum's screen to reassure me that the vacuum was adjusting based on environment. The vacuum also failed to recognize when it was in a corner.

Easy cleaning

Samsung isn't the only vacuum maker to offer automatic suction adjustment. Shark has gone all-in in this area, with its Shark PowerDetect Cordless and Shark Detect Pro Cordless vacuums both using sensors to determine whether they're on hard floor or carpet, when they're cleaning at the edge of a room (where dust can collect), and if the floor they're on is especially dirty, increasing or decreasing power in response.

Using these vacuums, I could hear power adjusting reliably in all of these situations. You can see the PowerDetect in action in the video clip below.

Dyson uses automatic adjustment, too. Its Gen5detect and V15 Detect vacuums use sensors to measure resistance (as an indicator of floor type) and the size and number of particles being sucked up (as an indicator of how dirty said floor is) and raise or lower suction power in response.

Further to that, they'll report on exactly what going up the wand in real time, via an ever-changing graph on the vacuum's LCD screen. This isn't strictly necessary, but it does reassure me that the vacuum is doing what Dyson says it's meant to. And it's kind of fun. (If you want to see exactly how the new Samsung compares to Dyson's priciest vacuum, you can find out in my Dyson Gen5detect vs Samsung Bespoke AI Jet Ultra article.)

The Dyson Gen5detect reports back on what it's sucking up (Image credit: Future)

These are some of the best cordless vacuums we've tested. Automatic adjustment isn't just a gimmick – done well, it means less effort is required on your part (no messing around changing settings), the floors are reliably cleaned, and you're not wasting valuable battery life.

But I don't think Samsung has it quite right yet. Focusing on adjustment based on dirt levels, as Shark and Dyson do, makes more sense to me than being so fixated on the specifics of floor type. Not least because it opens up more possibilities for failure… which, unfortunately, appears to be the case with Samsung's latest offering.

A case for AI?

Samsung doesn't even have the excuse of it being brand-new tech – this is the second manual vacuum in its lineup to use what the brand credits as AI, following the Samsung Bespoke Jet AI from 2023. That model was designed to sense carpet, hard floor and mats, and when it had been lifted up. Samsung chose to add long-pile / dense carpet, and corner detection, to its newer release.

While Dyson and Shark's marketing material says their automation features are based on sensors, while Samsung credits AI. In reality, I suspect all three are perhaps based on similar combinations of clever sensors and software

I say "what the brand credits as AI" above, because I'm not entirely convinced it’s anything more than a combination of very clever sensors and software, like those employed by Dyson and Shark. But I guess 'smart' and 'AI' are pretty much interchangeable these days, and few brands will pass up the chance to add ‘AI’ to their product names and marketing blurb. It also ties into Samsung's current 'AI for all' initiative. Even giving Samsung the benefit of the doubt here, the Bespoke AI Jet Ultra has done little to convince me that AI is the future of vacuum cleaners.

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AI is poised to change our world at a breakneck pace, with enterprises and governments pouring billions into AI tools, assistants, and agents. Whether it’s Trump’s bold $500 billion Stargate plan or the UK’s AI Opportunities Action Plan, AI investment is the new arms race. And if the scale of investment isn’t visible yet, tech giants plan to invest $320 billion in AI in 2025 alone. The technology is dominating headlines, driving economic strategies and topping boardroom agendas.

However, most discussions focus largely on the dazzling potential of AI models. Putting these exciting AI innovations to work requires an army of unsung individual heroes largely toiling in the dark - data engineers, integration specialists, and automation experts.

These professionals are the critical silent enablers of the AI wave we are witnessing. Their expertise is critical to ensure machine learning models have the clean and structured data they require to function effectively and that their outputs can fold into complex enterprise architectures in a seamless and effective manner.

Looking beyond algorithms: behind the scenes of AI success

AI may be the headline act, but its algorithms and models are simply the tip of the iceberg. Beneath the surface, vast work goes into data preparation, developing IT infrastructure, and integration to the wider enterprise landscape. Data engineers have a crucial role in cleaning and structuring data so that AI models get accurate, unbiased, and high-quality inputs. Without high-quality data, even the most advanced AI models cannot deliver meaningful outputs.

Likewise, integration specialists weave AI models into the enterprise systems they interact with, ensuring data flows seamlessly across different environments - whether in the cloud, on-premise, or hybrid. These experts help companies leverage AI’s full potential by connecting disparate data sources, application endpoints and critical user experiences, allowing for real-time analysis and decision-making.

Finally, automation experts design smart workflows that enable AI agents to both be carefully orchestrated, and where possible, operate independently. From data to application integration, their work eliminates bottlenecks, boosts productivity, and allows businesses to deploy AI-driven solutions at scale.

Redefining traditional tech roles: AI changing data professions

AI is not just shifting industries; it’s also reimagining these very jobs that build and support this growth. Traditional tech paths are already evolving into future-oriented AI careers. Data engineers are stepping up as ‘AI trainers’, working with subject matter experts to curate datasets for improved model accuracy. Integration specialists now take on the role of AI infrastructure architects, harmonizing the latest API-centric AI technology with previous generations of application frameworks.

Automation experts are moving toward total AI orchestration, overseeing the large-scale deployment of AI agents across various business operations. What’s more, these roles themselves are converging into new hybrid positions like AI workflow engineers, prompt engineers, and agent developers. This means enterprises are now looking for multi-dimensional professionals capable of managing entire AI ecosystems instead of just performing isolated tasks.

AI has made a pivotal shift in involving tech professionals in critical business decisions, which means future AI roles will require a blend of strategic vision and technical know-how. Professionals who can connect AI capabilities with enterprise needs will be highly sought after.

Humanizing your AI journey: do not leave people behind

AI, for all its promise and potential, is not infallible. Challenges like bias in training data, privacy requirements, and ethical concerns surrounding AI deployment require careful human oversight. Data, integration, and automation professionals are indispensable in mitigating these risks, ensuring that AI applications are transparent, fair, and reliable.

Our own research recently revealed that fewer than 40% of IT leaders in the UK trust AI agents more than a human to do an effective job, which makes it apparent that there's no straightforward human to AI switch for the tech sector anytime soon. Despite the vast troves of information embedded in the latest models, enterprise data has not been available for AI model training, meaning that AI alone cannot interpret business context, making humans all the more essential in guiding AI’s applications.

The most effective leading enterprises are finding that automation enhances decision-making, and though there are clear opportunities for AI-centric process automation, AI doesn’t replace human critical thinking altogether. The best use cases of AI implementation are those where humans and machines collaborate, harnessing AI’s efficiency whilst maintaining human judgement.

Fate of data professionals: displacement or evolution?

A pressing question lingers: will AI make data-centric roles obsolete, or will it redefine them? The answer is nuanced.

As AI automates repetitive tasks and lower-level data operations, it simultaneously opens new doors for higher-order problem-solving and frees up time to be spent on strategic innovation and value-driven work.

For example, with old data cleaning tasks increasingly becoming automated, data engineers are free to focus on optimizing data architectures and ensuring AI models work with precision across heterogeneous system landscapes. Automation experts will go from basic workflow automation to developing self-learning AI systems that adapt to changing business needs in real-time.

AI’s true power isn’t in the technology alone. It’s in the people who are making it happen and laying the building blocks. It is not a threat to these roles, but a catalyst for their evolution. By acknowledging these contributions, investing in upskilling, and building a culture of AI literacy, we can ensure that AI serves as a force for progress, innovation, and human-AI collaboration.

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This article was produced as part of TechRadarPro's Expert Insights channel where we feature the best and brightest minds in the technology industry today. The views expressed here are those of the author and are not necessarily those of TechRadarPro or Future plc. If you are interested in contributing find out more here: https://www.techradar.com/news/submit-your-story-to-techradar-pro

It’s hard to believe Donald Trump has only been back in office since midway through January. Whether it’s additional tariffs on the import of materials like steel and aluminium or plans to target countries with ‘reciprocal tariffs’, the rate of change and potential impact on supply chains is almost too fast and far-reaching for any one person to keep pace with.

With fresh tariffs emerging from the US on an almost daily basis, it’s not possible for any business – especially those reliant on global trade – to predict every new announcement, or have a bespoke response plan ready for each possible scenario.

Instead, businesses with the potential to be hit by tariff whiplash must be able to respond swiftly to developments as they happen, or better still rehearse for potential changes ahead of time, many of which may be entirely unprecedented.

To do this, they need to have the technological tools that enable them to see beyond the horizon to identify plausible scenarios and their potential impacts at all levels of the supply chain, from the network to the individual warehouse shop floor before their rivals - thus turning seismic change into competitive advantage.

Ultimately, when a storm of unexpected tariffs or unprecedented disruption strikes, the businesses that can adapt flexibly and with speed will be best placed to ride it out.

Which industries are particularly vulnerable?

In the UK, many businesses are already feeling whiplash from a month of tariff changes under the new US administration. The US is Britain’s largest single export market, with more than £60bn worth of goods exported there in 2023 – 15.3% of the UK’s global total.

Industries heavily reliant on exports – most notably, machinery and transport – are those facing the most risk.

Take the machinery and transport sector, which is worth more than £200bn across the UK and the EU. Car manufacturers – particularly in Germany, Europe’s dominant manufacturing force and leading exporter to the US and Mexico – are already facing a substantial hit.

And if the ‘reciprocal tariffs’ mooted last week by the US President take effect, which would impose minimum tariffs across the board added to each nation’s VAT rate, the UK would be the fourth most impacted country.

Simply put, many businesses in the UK remain underprepared to deal with the impact of such a scenario. Too many still rely on outdated methods to assess the impact that limit agility, in a trading environment which only seems to be growing more volatile.

Barriers to supply chain agility

The reason that many supply chains remain vulnerable to sudden tariff changes or trade policies is because their approaches to operations tend to be reactive rather than proactive.

In recent times, Artificial Intelligence (AI) has significantly improved forecasting capabilities. But when used alone, it is not enough; AI fundamentally learns from past events, meaning it can overlook entirely plausible but unprecedented scenarios.

Indeed, one of the key barriers to true agility is an over-reliance on historical data to drive decision-making. For example, it is certainly useful context that in trade battles in Trump’s last term in office, the US targeted famous consumer goods including French wines and cheeses, Italian luxury goods and Scottish and Irish whiskies.

But reliance on this historical context alone fails to account for the new, more aggressive trade policy of a second Trump presidency, and the possibility of an economic policy with tariffs as its cornerstone targeting new industries. To achieve truly agile, flexible response capabilities, businesses must have access to insights which go beyond simple derivations of past events.

Another major challenge is the speed of response, especially with so much uncertainty around the future about when tariff changes will hit, or who will be impacted. On average, it takes two weeks for a business to react to supply chain disruption – delays that, over a decade, can erode nearly six months’ worth of profits. Without scenario modelling and strategic foresight, companies will remain on the back foot, forced into crisis-mode decision-making rather than pre-emptive adaptation.

A tariff-proof supply chain combines AI with simulation technology

To effectively anticipate and plan for tariff change in today’s volatile geopolitical context, businesses need to be capable of using AI tools in combination with simulation technology - intelligent simulation.

Doing so gets the best out of both technologies. With intelligent simulation, AI can model and prioritize countless ‘what if’ scenarios, providing supply chain and logistics teams with actionable insights before disruptions occur.

Whether it's understanding the impact of potential tariff changes, identifying alternative suppliers, or assessing new market opportunities, AI in combination with simulation allows businesses to remain agile and act quickly before the unprecedented strikes.

Businesses that integrate AI in combination with simulation technology into their supply chain strategies will not only navigate tariff whiplash with greater ease but will also establish a competitive edge in global trade.

This is because combining simulations with AI allow companies to explore both the network and the individual warehouse or distribution center-level impact of complex, tailored counterfactuals about the future with which they can plan better than ever.

Ultimately, operations leaders need to understand the impact of a tariff change on a granular level as well as the network level. With this approach, they can overcome the limitations of sparse real-world information and generate new training data for AI technology so that it can deliver comprehensive, reliable forward-looking insights during periods of trade unpredictability.

With this level of insight, different tariff scenarios can be focused on and planned for and responses rehearsed accordingly - so that when the time comes in real life, they can respond with flexibility and agility.

The reality is that economic unpredictability is here to stay. The only question that remains is whether businesses will continue with a reactive approach – or choose a prepared, pre-emptive approach instead.

if operators are to take action, they need to understand the impact of a tariff change not just at the network level but down to the more granular level for individual warehouse for example

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This article was produced as part of TechRadarPro's Expert Insights channel where we feature the best and brightest minds in the technology industry today. The views expressed here are those of the author and are not necessarily those of TechRadarPro or Future plc. If you are interested in contributing find out more here: https://www.techradar.com/news/submit-your-story-to-techradar-pro

AI has dominated headlines, product strategies, and investment for the past two years, but as businesses reflect heading into 2025, an uncomfortable question lingers: where is AI’s financial impact, really?

Amidst the AI hype climate, businesses have been eager to invest in emerging technologies that promise the world. So eager, in fact, that the market is now saturated with hastily-developed products designed more to showcase adoption than to deliver measurable impact.

While AI tools have existed for some time, the rise of generative AI — starting with the release of ChatGPT just over two years ago — has captured broader attention and rekindled a frenzy of innovation, akin to the dot-com boom of the late 1990s. Generative AI's accessibility is lowering barriers to entry, sparking both a rush to investment and concern across industries.

When applied strategically, it’s clear that AI can revolutionize user experiences at places like websites, where the potential for customer experience enhancement is unparalleled. But to keep up with lofty AI predictions and heavy investor demands, many businesses today are investing first and looking for ways to measure return on that investment later — an approach that’s led to over-promised and under-delivered initiatives, followed by disappointment among customers and teams alike.

AI has the potential to deliver transformative outcomes when businesses align it with strategic goals, such as improving website functionality and user satisfaction. Rather than integrating AI first and looking for a problem to solve later, it’s time to return to the tried and true formula for innovation: find a problem, figure out how to solve it.

The AI Paradox: ROI vs. FOMO

ROI must be the central factor in AI investment decision-making.

While the number of senior business leaders investing $10 million or more in AI is set to double next year, a Gartner report found that at least 30% of AI projects will be abandoned by the end of 2025. These circumstances — high costs and low success rates — make prioritizing business needs and ROI critical.

AI is an expensive, time consuming endeavor — so in order for an AI product to be worth it, especially in consumer-facing applications, it must add real value to customers. Rushing to bring high-potential technology to market can often hinder, rather than enhance, user experience — particularly in the case of websites, where users increasingly demand seamless interaction.

The early surge of businesses racing to adopt AI chatbots is a prime example. In the push to get the latest feature onto their websites, a critical question was often overlooked: will this actually improve our customer service? Despite their high-potential, chatbots were introduced widely before the technology was developed to the point of adding proper value, often resulting in frustrating user experiences and failing to provide accessible support.

Consider Watsonville Chevy’s viral failure, where a chatbot offered to sell a customer a brand new Chevy vehicle for only $1. Rather than helping customers buy cars, the under-developed technology — despite its high-potential — caused an embarrassing headache for the dealership. More than the technology itself, this failure underscores the critical importance of businesses putting appropriate guardrails in place. Effective AI implementation requires not only understanding the potential of off-the-shelf solutions, but ensuring they are adapted to the specific needs and limitations of the business environment.

In another recent counterproductive AI use case, Spotify whiffed on its perennially popular Wrapped feature by going all-in on AI. While removing features like top genres, the music streaming giant opted to add experiences like an AI-generated podcast. Listeners, predictably, were critical, highlighting the importance of using AI to enhance user experience rather than diminishing features that made products popular in the first place.

Businesses must ask themselves: is this AI use case truly adding to the customer experience? Investments must prioritize functionality and customer needs over hype. By focusing on thoughtful, ROI-driven AI adoption, businesses can avoid costly mistakes and improve outcomes.

Solving Problems, Driving Results

But of course, not every AI investment is destined to fail or hinder customer experience. There are many examples of how AI brings clear value-adds when implemented strategically, especially in ecommerce and content.

In a crowded online environment, frustrated users are a sales killer — customers have access to limitless products and content online, so when their search fails to draw results, they leave.

Netflix, Google and Amazon have all dominated their respective verticals for several years in no small part because of their use of natural language processing. In 2017, more than 80% of the TV shows users watched on Netflix were discovered through its recommendation system. In 2012, 35% of purchases on Amazon came from product recommendations. Google has utilized AI since 2015 to process and provide more relevant search results.

All of these use cases have had a tangible impact on customer experiences — an impact that has long differentiated them from competitors with less resources.

More recently, the rise of generative AI is amplifying this trend — as the current AI frenzy has led to not only the development of cutting-edge technology by major AI players, but also made it more accessible for businesses of all sizes. These advancements enable even mid-market players to leverage tools once exclusive to industry giants, creating new opportunities for differentiation and growth.

In short, these technologies are no longer limited to just big tech like FAANG — AI democratization is unlocking more cost effective tools for SMBs and mid-market companies to optimize their websites. The potential of AI is immense when businesses choose the right product, and legacy examples in e-commerce and user experience, like Netflix’s recommendation engine or Amazon’s personalized shopping, offer a blueprint for websites leveraging AI to create transformative, ROI-driven outcomes. AI-driven smart search and recommendation technologies already exist; businesses just need to evaluate problems and responsibly implement solutions to unlock AI's transformative potential.

Starting with the pain point — such as low conversion rates — and answering with AI empowers better business outcomes. Implementing AI technologies can help bridge the gap between mid-market companies and enterprises, drive higher conversion rates and justifiable ROI for the cost of AI.

Thoughtful AI integration has the potential to revolutionize industries, and in some cases, already has. These use cases underscore AI’s potential to add real value, making a tangible impact on conversion rates and customer experience.

We've listed the best sales pipeline software.

This article was produced as part of TechRadarPro's Expert Insights channel where we feature the best and brightest minds in the technology industry today. The views expressed here are those of the author and are not necessarily those of TechRadarPro or Future plc. If you are interested in contributing find out more here: https://www.techradar.com/news/submit-your-story-to-techradar-pro

Here are the answers for The New York Times Mini Crossword for March 31.

• MagStor's Thunderbolt 5 LTO drive builds on its 2020 Thunderbolt 3 model
• TB5 certainly adds speed but what's the real-world benefit for tape?
• There's no word on pricing, but it's unlikely to be cheap

MagStor introduced the world’s first Thunderbolt 3 LTO tape drive back in 2020, blending traditional tape-based storage with modern connectivity, and now, the company has announced the world’s first Thunderbolt 5 LTO tape drive.

The company describes its latest product as the next step in offering flexible, high-speed backup and archival solutions for professionals working with large volumes of data.

Tape storage continues to be a standard for long-term archival needs due to its durability and capacity, and the Thunderbolt 5 LTO drive is designed for use in data-heavy environments such as media production and enterprise IT. By integrating Thunderbolt 5, MagStor hopes to offer a faster, more streamlined connection between tape hardware and modern computing systems.

Increased speed

The new drive works with both macOS and Windows and while Thunderbolt 5 offers higher bandwidth than previous versions, tape speeds remain limited by the format itself.

Although MagStor hasn’t provided many technical specifications, it’s a given the new product will support LTO-9 tapes (18TB native / 45TB compressed capacity), as its predecessor does.

There's no confirmation yet on compatibility with next-generation LTO-10 tapes, expected to arrive in the second quarter of 2025, which offer up to 36TB native and 90TB compressed capacity, but it would be a missed opportunity if that support isn’t included.

Thunderbolt 5 achieves data transfer rates of up to 80Gbps (10GB/s) bi-directionally in standard mode, and up to 120Gbps in one direction when using Bandwidth Boost mode.

LTO-10 is expected to deliver read speeds of around 472MB/s, which is a step up from LTO-8 at 360MB/s and LTO-9 at 400MB/s.

MagStor says the Thunderbolt 5 LTO drive will be released by the end of 2025. Pricing has not yet been announced, but it's unlikely to be cheap.

The company’s LTO-9 Thunderbolt 3 drive retails for $6,299 and whether the added speed of Thunderbolt 5 will justify the inevitable price hike remains to be seen.

“At MagStor, we are committed to pushing the boundaries of what’s possible in data storage,” said Tim Gerhard, VP of Product at MagStor. “After revolutionizing the market with the first-ever Thunderbolt 3 LTO drive, we’re excited to raise the bar again with Thunderbolt 5, ensuring our customers have access to the most powerful and flexible storage solutions available.”

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Hints and answers for Connections for March 31, No. 659.

Here are hints and answers for the NYT Strands puzzle No. 393 for March 31.

Here are hints and the answer for today's Wordle No. 1,381 for March 31.

Look, I love Windows, I do, I really do. It's one of those things that I just can't live without at this point. I've tried MacOS, I've tried Linux, I've even dabbled in the world of Android and Chromebooks during my time, and yet, none of it compares to Windows; it just doesn't.

There's a certain amount of familiarity, of indoctrination into that Microsoft cult that's rife in me. I grew up using Windows 98, and onwards, it was what I gamed on, what I studied on, what I made lifelong friends on—you name it. 98, 2000, XP, Vista, 7, 8, 10, and finally we're here at Windows 11, at least until Microsoft inevitably tells us that its "final" operating system isn't its final operating system.

The thing is though, it really is a bag of spanners at times, and I've kinda developed this habit of going thermonuclear on my own machine at quite regular intervals over my lifetime.

Mostly by flattening and reinstalling Windows onto my PC every other month or so. Why? I'm glad you asked.

The need for an occasional refresh

Well, the thing is, although Windows gives you a lot of freedom and has broad compatibility with more programs than any other operating system out there, it does make it somewhat susceptible to bugs. Lots of them.

These can be inflicted by Microsoft directly through Windows Updates or drivers accidentally corrupting files or programs, or well, any number and manner of avenues.

The worst culprit, of course, is the classic "upgrade from the previous Windows version to this version." Just don't; it's never worth it.

Windows is great, but no operating system is designed to run perfectly forever. (Image credit: Microsoft)

See, registry files corrupt, file directories get mislabelled, and inevitably you'll end up with programs you forget about sitting in the background sucking up critical resources. It's just a bit crap like that, and ironically, although I do have a massive disdain towards macOS, I can't deny its closed-off ecosystem does avoid a lot of these pitfalls.

Whenever anyone asks me about a system bug or help with troubleshooting, my first and often instant reaction is to suggest just flattening the machine entirely and reinstalling a fresh version of Windows on top.

That's why I advocate tying a full-fat Windows license to your Microsoft account so you can easily reinstall and activate Windows 11 on your machine on a dime.

An arduous task

It does require some getting used to this salting-the-earth kind of strategy, but the benefits are just too great to ignore.

The first thing I recommend is splitting up your storage solution. In every build I've ever done, I've almost always recommended a two-storage drive system. The first and fastest of the two should be used as your main OS drive, and the second, usually slower, cheaper, and larger, being your media/games/back-up drive. Any valuable documents, assets, or big downloads live here.

What that allows you to do is keep all your games and important files on your D: drive, and then, whenever that re-install time comes a-calling, allow you to quickly flatten and re-install Windows on your C: drive.

If you've got slow internet or just can't be bothered to re-download everything, it is a huge time-saver doing it this way. You can get away with partitions, but it's far easier to accidentally delete the wrong one on your next Windows install.

Laptop, desktop; it doesn't matter, just give your hardware an OS break now and then. (Image credit: Sergey Kisselev / Behance.net / Microsoft)

It also helps really reduce program and document clutter and encourages good back-up practice too. If you know you're going to flatten a machine every 2-3 months, then the likelihood is you'll keep all of your important files and documents safely stored in the cloud, or off-site, backed up with solid authentication procedures as well.

You'll end up with a minimal desktop that's stupidly rapid, clean, up-to-date, and as error-free as Microsoft can muster. If you're building a new PC or transferring an old one to updated hardware, save yourself the hassle and just back up and move your most important files, download a fresh USB Windows Installer, and get cracking. I promise you it's worth it.

A new lease on (virtual) life

With that, and good internet education and practice, plus a solid VPN, you can then dump aftermarket antivirus as well and rely on good ol' Windows Defender. It's one of the best antivirus programs out there, and lacks the resource vampirism many third-party solutions have.

Worst-case scenario, you get tricked into opening a dodgy email or land on an odd website, and your machine gets whacked with some crypto-scam; just flatten it. Job done. Although again, I'd highly recommend just being a bit more internet savvy first.

The only thing I'd say if you do go this route, be careful on the device you do it on and prep accordingly. Some motherboards won't support ethernet or wireless connectivity without drivers too.

Grab your USB stick, get the Windows Installer setup on it, and then stick a folder in it called DRIVERS. Head to your motherboard's product page, grab the relevant drivers, then once you're finally on the desktop, you should be able to install all your chipsets and drivers and get that internet connectivity back, no sweat.

If you do get stuck on the "need to connect to the internet" Windows 11 install page, hit Shift + F10, click the command window, type OOBE\BYPASSNRO, and hit enter. The installer will reboot, and you'll now have the option to tell Microsoft you "don't have the internet" and continue with the installation regardless.

So yeah, PSA complete. I got 99 problems, and most of them are Microsoft-related. At least for about 20 minutes anyway.

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• Solidigm shows off purple-colored, liquid-cooled SSDs at GTC 2025
• The design put me in mind of its limited-edition Lego SSD made for #122Day
• The Solidigm D7-PS1010 E1.S for AI servers will launch in late 2025

For the reveal of its 122.88TB D5-P5336 SSD on #122Day (January 22nd), Solidigm created a custom, limited-edition Lego version of its high-capacity drive for journalists and customers to build.

That promotional product, timed to also coincide with International Lego Day on January 28, feels like a fitting prelude to what the company showed off at GTC 2025.

Although there was nothing toy-like about Solidigm’s compact rack of liquid-cooled NVMe SSDs on display, it had the same visual flair, with a funky purple color scheme and a 9.5mm form factor.

Eliminating air cooling entirely

The demo featured the Solidigm D7-PS1010 E1.S mounted in a dense mini rack setup. Although the SSDs were liquid-cooled it wasn't done in the traditional sense.

There’s no fluid flowing through the drives themselves. Instead, they rely on server-mounted cold plates that make contact with both sides of the SSD casing.

ServeTheHome explains, “Instead of bringing the liquid into the SSD, and having to deal with quick disconnects and potentially losing a drop or two of fluid with each change, the server has coldplates. Then the SSDs are inserted into these coldplates which then cover a face of the SSD’s case, thereby keeping it cool.”

Unrelated, but very relevant, is the fact Nvidia showed off Kyber-based NVL576 racks at GTC.

Expected to launch in the second half of 2027, these could draw up to 600kW, and Nvidia hinted that future racks could require full megawatts of power.

In that kind of environment, every component - including storage - will need to shed heat efficiently, something Solidigm’s solution achieves without the need for fans.

As well as eliminating air cooling entirely, it will cut HVAC costs and support hot-swappable eSSDs.

The fun purple housing and small-scale rack configuration certainly made the display stand out among more conventional server demos at the event, but this isn’t a consumer product.

Solidigm designed the D7-PS1010, with input from Nvidia, specifically for enterprise and AI workloads, and plans to offer it in two versions: a 9.5mm model with liquid-cooling support and a 15mm version for air-cooled systems.

Launch is targeted for the second half of 2025.

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