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In order to focus on AI and data centers, AMD is laying off 1,000 workers.

Chipmaking giant AMD is laying off 1,000 of its 26,000 workersThe company wants to focus on artificial intelligence and data centersData center revenue accounted for 51% of AMD’s entire revenue last quarter

AMD has confirmed it will be laying off around 1,000 workers, or 4% of its headcount, as it looks to shift its internal focus towards AI.

The chipmaker believes that by losing the 1,000 workers, it will be able to focus more on areas of its business with significant growth potential, such as AI servers and data center hardware.

“As part of aligning our resources with our largest growth opportunities, we are taking a number of targeted steps that will unfortunately result in reducing our global workforce by approximately 4%,” a company spokesperson said in a statement. “We are committed to treating impacted employees with respect and helping them through this transition.”

AMD to lay off 1,000 workers

Given its strong financial performance last quarter, the change it seen more as a strategic shift rather than a reaction to financial worries, unlike key rival Intel.

AMD had doubled its headcount in recent years to tackle the surge in demand for high-performance processors used in AI data centers, however its revenue has only climbed 23%. Although recent figures suggest growth is strong, it’s likely that the company overestimated its human resource requirements, hence the adjustment.

Two weeks ago, AMD confirmed a third-quarter revenue of $6.82 billion, up 18% year-over-year and up 17% compared with the previous quarter. It also boasted of a record data center segment revenue, up 122% year-over-year and 25% quarter-over-quarter to $3.5 billion, or more than half (51%) of its entire revenue.

Despite strong figures, AMD’s market cap has fluctuated over the past year with several peaks and troughs. Share prices are up 16.2% in 12 months, compared with a 194.5% rise in Nvidia share prices during the same period. Intel shares are down 36.8%.

In the most recent quarterly report, AMD CEO Dr Lisa Su said: “Looking forward, we see significant growth opportunities across our data center, client and embedded businesses driven by the insatiable demand for more compute.”

AMD isn’t the only company making adjustments to staffing – a few months ago, Intel confirmed it would be laying off 15,000 workers, or 15% of its headcount, in relation to poor financial performance.

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Garmin smartwatches could soon get support for Rucking workouts.

Garmin could soon add support for rucking workoutsA rumor says the feature could arrive by the end of year, possibly alongside a new Instinct 3Rucking is a new fitness trend that involves walking with a weighted backpack.

A new leak claims that some of the best Garmin smartwatches on the market could soon add support for rucking, one of the hottest new trends in fitness.

The news comes by way of leaker @Jw, reported by the5krunner. According to the report, Garmin is “about” to add a new Rucking sport profile that will let users track dedicated rucking sessions, with options to add the weight of their pack manually. Once you’re off, your Garmin will reportedly track distance and pace, as well as the impact of the exercise on overall fitness stats including VO2 Max.

As the report points out, it would make Garmin the first smartwatch manufacturer to offer dedicated rucking tracking. According to the report, the feature could arrive by the end of the year, and may debut alongside a rumored new Instinct 3, although the report notes that there’s “no new intel on that” and files it as speculation.

What on earth is rucking?

(Image credit: Getty Images / Javier Zayas Photography)

If you’ve never heard of rucking and don’t know what it is, then don’t worry, you’re not alone. Not to be confused with the ferocious contest for the ball at the breakdown in a game of rugby, rucking is a trendy new form of exercise that involves walking with a weighted rucksack (hence the name) in the pursuit of better fitness.

Rucking puts lower impacts on your knees and ankles compared to running, but the increase in weight you’re carrying means it’s almost as effective at burning fat. This makes it ideal for really anyone, but especially people who might struggle with the demands running can place on their joints.

It’s a technique used by the military for training, and Garmin’s rumored adoption of tracking for the trend could signal that it’s about to go mainstream.

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Google launches the Gemini app for iPhone with Gemini Live functionality.

Google has launched a standalone Gemini app on iPhoneThe app gives iPhone users access to Gemini LiveThis new Gemini app is the best way to experience Google AI on iOS

Google has unveiled a standalone iPhone Gemini app that includes support for Gemini Live, the incredibly smart AI voice mode.

Gemini was previously available via the Google app for iOS by clicking through tabs, but now this standalone version makes it incredibly easy to access Google’s AI chatbot whenever you want.

The Gemini app has iOS-specific features like Dynamic Island integration and even supports Gemini Extensions for apps like Gmail, allowing you to ask Gemini questions about your inbox.

Earlier this week, the app appeared on the App Store in the Philippines but now users around the world can get a taste of everything Gemini has to offer.

Free to download from the App Store, you can subscribe to Gemini Advanced for more features via an in-app purchase which costs $18.99 / £18.99 / roughly AU$30. With Gemini Advanced you can take advantage of Gemini Live, one of the most impressive AI voice assistants we’ve tested so far.

Gemini Live on iPhone

(Image credit: Google)

Gemini Live works very well in our initial testing of the Gemini iOS app. It has seamless Dynamic Island and Lock Screen integration so you can quickly interact with AI without opening the app, and it’s very responsive to even the most difficult prompts.

Gemini Live’s natural voice is seriously impressive and considering we’re still waiting for Siri to take its final Apple Intelligence form, this could be the go-to for a lot of people looking for the ideal virtual assistant for the best iPhones.

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Nothing to do with Google Hangouts, Turntable Labs’ Hangout includes a virtual dancefloor and chat function.

Turntable.fm returns as Hangouts, a collaborative music appCreate your own virtual space for music sharingYou and your friends can take turns to DJ

From flared jeans to fascism, it’s a well-known fact that if you hang around long enough everything old comes back again. And if you remember turntable.fm, the collaborative streaming music platform of the early 2010s, you’ll get a flash of déjà vu when you look at the newly launched Hangout. It looks and works very much like turntable.fm, and that’s no bad thing. (And just to clarify, this is nothing to with Google Hangouts, which closed its virtual doors in November 2022).

The idea behind Hangout is simple: you create your own personal space, which is called a Hangout, and you and your friends can then take turns being the DJ. There are over 100 million officially licensed tracks to choose from, and you can take part from multiple platforms: your web browser, your iOS device or your Android device.

What’s different from turntable.fm?

Hangouts comes from Turntable Labs, a spin-off from the original Turntable.fm. That service suffered from one big problem when it launched: it had no official deals in place with any record labels, so operated within a gray area that limited what it could do. Instead of getting licenses from the record companies, it claimed to be a non-interactive radio station, which meant you couldn’t play your own choice of music if you were the only person in the room and only US residents could use it. It did sign licences in 2012 with four major music labels, but the site shut down the following year.

Hangout clearly doesn’t want to repeat that history, hence the licenses being in place from the get-go. But with former Turntable.fm VP of technology Joseph Perla at the helm, it clearly hopes to recapture the magic of the original without any of the other issues. However, it also has a rival – and that too has a turntable.fm connection, as it is run by former turntable CEO, Billy Chasen. That one’s called deepcut.fm, and it’s a rebranded (and very retro-looking) version of turntable.fm.

As interesting as the history is, what really matters is whether anybody’s going to use it – and music collaboration has changed somewhat since Turntable’s heyday. Apple’s SharePlay, Spotify Live and other similar services already offer collaborative listening, and while they don’t have Hangouts’ cutesy interface, they do already have established customer bases.

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The YouTube VR app is getting a co-watch feature on the Meta Quest 3 and Quest 3S.

Watch parties are now available in YouTube VRYou’ll all need to own paid content to watch it togetherYou can’t watch 360 video together yet

VR gaming, like gaming in general, is always more fun with friends. Hopping into Just Dance VR is fine, but taking it on in a multiplayer session – either online or for couch co-op – is a much more enjoyable experience. The same is true for Walkabout Mini Golf and Beat Saber – and now you can also enjoy shared experiences when watching movies or other content in the YouTube VR app.

Whether it’s watching a 4K movie or your favorite YouTube Short, it’s now possible to host a YouTube watch party with up to seven other guests at the push of a button – no matter where you all happen to be (though it will need to be somewhere with an internet connection).

You’ll want to boot up the free YouTube app on your Meta Quest 3 or Quest 3S (after installing it if you haven’t already), then look above the screen to see the co-watch icon (it looks like a person-shaped outline flanked by two silhouettes), and click it to start your watch party.

From there you can invite people from your followers list – provided you follow each other – by sending them a notification. Once they accept they’ll join your virtual group, and then you can decide what you all want to watch.

There are a few restrictions to note, however. As mentioned you’ll have to be following each other, and it’s important to note that you want to watch paid-for YouTube content everyone in the party will have to pay for it separately – so you can’t get away with splitting a single rental fee.

Additionally, full-360-degree immersive video is not yet supported, which is a shame as these 3D experiences are among my favorite ways to use the YouTube VR app. Hopefully it’ll be added in the near future, but for now I’m excited to start some watch parties with YouTube’s huge catalog of 2D content.

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Xbox boss Phil Spencer has said there are no “red lines” when it comes to releasing more games on PS5.

Xbox boss Phil Spencer says he is pleased with Microsoft’s multiplatform pushSpencer says there are no “red lines” when it comes to releasing more Xbox games on other platformsSpencer thinks “the ball is moving in the right direction”

Microsoft‘s gaming head Phil Spencer has said that there are no “red lines” regarding the release of more Xbox games on PlayStation.

The company’s multiplatform push kicked off earlier this year, which saw the likes of Hi-Fi Rush, Grounded, Pentiment, and Sea of Thieves make their way to PS5 and Nintendo Switch. Now, Spencer has revealed that he isn’t against seeing more Xbox games released on other platforms, but has held back on confirming which titles.

Speaking in a recent interview with Bloomberg, Spencer said: “I think the ball is moving in the right direction. I think this idea of open platforms, where users have more choice, creators have more choice, you see the momentum, right?”

The Xbox boss continued, saying that he is pleased with the beginning of the multiplatform plan, and, according to Bloomberg, confirmed Microsoft wants to “do more of that” and that it won’t rule out any titles in its major franchises.

“I do not see sort of red lines in our portfolio that say ‘thou must not,'” Spencer said, but added that it’s too early to decide on the next version of Halo.

Indiana Jones and the Great Circle was originally thought to be an Xbox-exclusive title until it received a confirmed PS5 release date this summer.

Bethesda’s next major action game will launch on December 9 for Xbox Series X, Xbox Series S, and PC as a timed exclusive instead, before it arrives on PS5 in Spring 2025.

After the announcement, Spencer explained the surprise PS5 release, calling it a business move for the company.

“Obviously, last spring we launched four games, two of them on the Switch, four of them on PlayStation, and we said we were gonna learn,” Spencer said. “We said we’d watch. I think at [the] Showcase, I might have said, from our learning, we’re gonna do more.

“What I see, when I look, our franchises are getting stronger. Our Xbox console players are as high this year as they’ve ever been. So I look at it and I say, okay, our player numbers are going up for the console platform. Our franchises are as strong as they’ve ever been.”

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Britain’s economy and company profits have been stifled due to poor tech uptake among UK businesses.

Poor tech uptake has cost the UK economy an estimated £111 billionReport claims 676,000 jobs could have been created despite the perceived AI threat‘Digital leaders’ are more likely to see strong turnover growth

A new report from Virgin Media O2 Business and Cebr has highlighted how much is being left on the table by companies that have failed to adopt new technologies, and it could be affecting the entire country as well as their own profits.

The study claims if all British businesses had increased their digital technology usage in 2021, when pandemic-induced digitization was on trend, the UK’s economy would have seen a £111 billion uptick in turnover by 2023 – a sum worth around 3% of the nation’s estimated GDP.

Still today, the study found three in four have not increased their digital technology usage since 2021, highlighting a major gap that could be plugged.

British businesses need more tech

More locally, businesses branded by the report as ‘digital leaders’ – companies actively investing in digital solutions – have seen a 12% growth in turnover, compared with only 5% for their not-so-digitally-inclined counterparts.

Firms with a strong digital culture are nearly twice as likely to have workforces that are prepared for the future than those with weaker digital cultures (81% versus 43%).

“There’s a £111bn boost to the UK economy to be unlocked for those organisations who build strong digital cultures, where technology underpins the way people connect and collaborate with colleagues and customers to drive business outcomes,” noted Jo Bertram, Managing Director at Virgin Media O2 Business.

Apart from the direct economic benefits, Virgin Media O2 Business believes that a further 676,000 jobs could have been created by 2023 – a considerable number given the ongoing worry that artificial intelligence could replace human workers.

This in itself is a theory that has been challenged, with experts seeing AI more as a colleague than a replacement – an idea I explored myself at a recent tech conference.

Nina Skero, CEO at Cebr, added: “We encourage UK leaders to use this report as a guide to navigate the challenges and opportunities of a digital workplace. By prioritising cultivating a strong digital culture, organisations can unlock their full potential and drive sustained growth for the UK economy and wider society.”

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The Samsung Galaxy S25 series, including the S25 Slim, is said to be almost ready to launch.

A report suggests the Samsung Galaxy S25 will be unveiled on January 23Samsung is apparently aiming to launch the S25 Slim at the same timeA leaker has reiterated that all S25 models will use a Snapdragon 8 Elite chipset

The wait for the Samsung Galaxy S25 series could almost be over, as according to a report the S25, Galaxy S25 Plus, and Samsung Galaxy S25 Ultra will all be announced on January 23.

That’s according to South Korean site FNNews (via @Jukanlosreve), citing “industry sources.” It’s a date that makes sense, since based on past form we always expected to see the Galaxy S25 range appear in either January or February.

The site adds that the launch event is likely to happen in San Francisco, and that – surprisingly – the Samsung Galaxy S25 Slim might be unveiled at the same time.

An unexpectedly early arrival for the S25 Slim

We’ve heard rumblings that Samsung was working on a ‘Slim’ model, but most leaks so far have suggested this thinner phone would arrive two or three months after the rest of the line.

Apparently though, the Samsung Galaxy S25 Slim is in the final stages of development, and Samsung is hoping to have it finished in time for a January 23 launch, so that it can have as much of a head start as possible on the slim iPhone 17 Air that’s rumored to be landing later in 2025.

It sounds then like there’s a chance the Galaxy S25 Slim won’t be ready in time, though perhaps in that case Samsung will still announce it on January 23, with the phone then going on sale later than the rest of the Galaxy S25 models.

We’d take all of this with a pinch of salt anyway. This is the first real Samsung Galaxy S25 release date leak we’ve seen, so until other sources start agreeing or disagreeing it’s hard to say how likely this all is.

In other Samsung Galaxy S25 news, leaker @UniverseIce has reiterated their claim that every model in the line will be equipped with a Snapdragon 8 Elite chipset, everywhere in the world.

That’s an unusual approach for Samsung, which typically uses its own Exynos chipsets in some regions, but this seems to be the consensus among leakers now, so we’d say it’s likely that the Snapdragon 8 Elite will indeed be used everywhere.

That should be good news, as typically Samsung’s Exynos chipsets can’t quite match the Snapdragon alternatives for performance.

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Is fragmented software holding back your team’s efficiency and flow?

The pressure on businesses to digitize has changed how they operate, fueling a growing trend of adopting new technologies to stay competitive and improve efficiencies. However, this drive towards modernization is leading to an overuse of point solutions that are designed to address one specific problem within an organization. The result? Sprawling and disconnected technology stacks across businesses that are draining efficiency and disrupting the flow of work.

In recent years, many teams had two major priorities – enable business in a heavily remote world and drive growth at all costs. And because they had the access to capital needed to buy technology, many adopted a range of incremental technologies to address specific challenges across their departments. Whether it was a new employee time off request tool for HR or a new tax compliance management tool for finance, organizations were constantly bringing in new software and doing so with little regard to existing processes.

Fast forward to today and businesses find themselves in a different position than in recent years. The focus for many is on driving efficiency and enabling people to do their most productive work. But instead of their existing technology working for them, in many cases, it’s draining efficiency even further.

Software overconsumption and underutilization drain efficiency

Many organizations have the best of intentions when acquiring software – they are adopting it to help do tasks better, faster, and smarter. But challenges arise when organizations have deployed more software than they need, have redundant technologies, haven’t integrated the systems, or aren’t utilizing the software to its full extent.

The beauty of software-as-a-service (SaaS) is that it’s easier for organizations to adopt, implement, and use technologies to solve specific challenges. But it’s also because of those exact same reasons that businesses find themselves in the position they’re in today. Teams have been able to purchase their own software solutions to solve their specific challenges and individual processes. This increases the agility of teams to solve problems with technology, but it also creates disruptions to broader processes and workflows across an organization.

Those implications show up in many forms. Business leaders and teams now have siloed data, unnecessary technology spend, and disrupted processes that prevent people from being efficient and work flowing as it should. IT teams are also burdened by an overwhelming amount of software implementations and added security concerns that come with software adoption without proper governance.

To solve these challenges, many organizations have started looking for ways to consolidate their technologies.

Software consolidation takes center stage

A recent report shows that 72% of CIOs are concerned about the impact of app sprawl, while another found that midsize companies waste an average of £18 million annually on unused software licenses. And according to Canva’s 2024 CIO report, 64% of organizations say they don’t have enough staff to train employees on new technologies. The data is clear – organizations need to consolidate their technology stacks. And that’s exactly what they’re doing to achieve widespread efficiency across departments.

But a successful software consolidation strategy requires more than cutting technology – it must take process into account.

Think about how work flows through an organization. It requires data to move between people and technology. So, if an organization is consolidating its technology stack, it’s important to understand what technology is necessary to keep, ensuring that business processes and workflows move as efficiently as possible.

End-to-end process automation enables organizations to identify where inefficiencies lie in their processes today, including the technology that isn’t working for them. It also allows organizations to apply automation to orchestrate workflows across departments for maximum efficiency. And because disconnected and siloed data is a key driver of software consolidation, process automation enables business leaders to easily build applications that bring optimized workflows and processes to life.

Taking a strategic approach with process in mind can help to uncover overlapping tools, underutilized licenses, and replace point solutions with easy-to-use applications that allow work to flow efficiently and effectively through an organization. By consolidating software with process in mind, organizations can easily adopt new technologies in the future, like AI tools, on top of already optimized workflows. This will make adoption and implementation easier, while also preventing disruption to processes.

If the primary mandate for organizations today is efficiency, then the path to operational excellence starts by empowering your team members by removing friction from work. Reducing the sprawl of software and optimizing processes to connect data between people and systems is a key factor in removing that friction.

Technology can solve your efficiency challenges, if adopted and used with process in mind. Without process, there’s a good chance that technology is a main reason your people and teams are struggling to be productive and efficient.

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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

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Businesses must prioritize data quality and governance to unlock AI’s full potential and drive growth.

The most successful businesses in the future will be those that optimize their AI investment. As companies start their journey to AI readiness, they must develop robust data management strategies to handle increased data volume and complexity, and ensure trusted data is available for business use. Poor quality data is a burden for users trying to build reliable models to extrapolate insights for revenue-generating activities and better business outcomes.

It’s not unusual for business users to prioritize access to the data they need over its quality or usability. The simple truth is if an organization has bad quality data and uses it to feed AI tools, it will inevitably deliver poor quality and untrustworthy results.

Why data quality matters

Data quality is critical because it acts as the bridge between technical and business teams, enabling effective collaboration and maximizing the value derived from data. Depending on the data source and governance requirements, this presents a time-consuming challenge to data scientists who can spend up to 80 percent of their time just cleaning the data before they can even begin to work with it.

Amalgamating data sources is one huge task. The work of combining and transforming multiple data sets, such as raw data from regular business operations, legacy data in a variety of formats, or new data sets acquired following an acquisition or merger, should not be underestimated.

This is important work for business development purposes. Data is critical to better target marketing and sales, direct product innovation and market expansion, improve customer service, and even create an AI chatbot or agent to enhance brand experience. It’s also vital in ensuring compliance with the latest regulations and preparing for likely future requirements in key areas including data privacy and protection, so businesses need to know which data contains sensitive information to secure it and avoid leakage or breach.

But not all data is equal and organizations need to be able to identify the high value data that is business-critical from the low value, low risk data which does not require governance or protecting. The only way to do this is to ensure data is clean and high quality.

Cultivating a data-driven culture

Being data-driven is developing an organization-wide culture that understands and actively seeks to extract value from data to underpin all decision-making, ensuring better business outcomes. It’s less about having the data and more knowing how to optimize it.

This requires a high level of maturity and commitment to developing this capability over time. One of the primary challenges for organizations becoming more data-driven is connecting technical and business teams effectively. This is not a new issue, but many companies have not yet addressed it successfully and it is hindering their ability to become data-driven.

Data teams are often focused on building data governance foundations and setting up various tools and processes to help their organization. However, the business teams may find the data they are getting is too technical, not of the right quality, not in the right format, or simply not the right data they need. The data team may not understand the business context of the request and therefore what data is required, and this unintentional misalignment is a huge challenge for organizations to overcome.

As a result, companies end up with data teams doing their best to build robust data governance systems, but business teams remain unsatisfied and underutilize the data. This is where accelerating data transformation with AI-augmented data quality initiatives becomes mission-critical. Business users need solutions that allow them to work with data independently—changing formats, enriching it, and resolving issues automatically through smart algorithms. This provides the trustworthy data foundation required for implementing successful AI projects.

Successful AI starts with data governance

Despite the current hype surrounding AI, Gartner has, however, estimated a loss of confidence in generative AI projects due to poor data quality, as one main reason, with at least 30 per cent predicted to be abandoned by 2025 at the proof of concept stage.

Ensuring data quality stems from establishing an organization-wide data governance strategy. This will ensure the business is focused on the desired outcomes of using AI and generative AI, rather than rolling out AI regardless of the state of the data that will be used to train it. AI is, however, also a tool that will help get the data into a state of AI readiness by reducing the manual oversight and labor traditionally needed to transform and cleanse data by automating processes and rules. It can also help with profiling and classifying data and detecting anomalies, contributing to the overall health of data sets.

GenAI is able to capture data in non-standard formats including tables, images and even audio, to ensure data quality rules are applied universally. AI also enables non-technical users to self-serve and find the data insights they need by using natural language to process queries, supporting the creation of business value for an organization in any and all of its departments. This process of data democratization is central to the success of any AI initiatives, as restricting their application and benefit to technical teams will severely restrict their impact.

Ultimately, quality is more important than quantity when it comes to AI training data. Each poor quality record will add confusion to the LLM, increasing the risk of hallucinations, and when poor quality data is consistently used, the trustworthiness of the outputs will decline. Today, there is an inflection point created by the rapid advancement of AI toolsets, the exponential increase in data, and digital and AI regulation which means organisations have a window of opportunity to get their data strategy in place. With competitive advantage, market expansion, customer experience and business growth all at stake, the winners will be those who prioritize this transformation now.

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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

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