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The Sony Bravia 8 II is the company’s top OLED TV for 2025, and at $3,500 / £2,999 / AU$3,999, it’s priced at the level you’d expect for a flagship Sony TV.

The Sony Bravia 9, the company’s flagship mini-LED model, was one of the best TVs I reviewed in 2024, so I was very curious to get my hands on Sony’s new flagship OLED. A main reason was that Sony had claimed the new model would be 150% brighter than its Sony Bravia 8 predecessor, an advancement made possible by the company’s switch from a standard W-OLED panel, the type used in last year's Bravia 8, to a QD-OLED panel for the Bravia 8 II.

While our Sony Bravia 8 OLED review was positive overall, the TV’s peak brightness measured significantly below what we’d seen from the best OLED TVs of 2024, such as the Samsung S95D and LG G4. New flagship OLED TVs in 2025 are now even brighter than last year’s models, with the LG G5 measuring 2,268 nits peak brightness, a level that surpasses many of the best mini-LED TVs, when I tested it.

The LG G5 features a new “four-stack” OLED display panel, which LG calls the Primary RGB Tandem Structure. Unlike previous panels, which use two blue OLED layers plus a third with red, green, and yellow elements, LG’s new design produces light via individual red, green, and blue layers. This design results in improved color detail and, notably, increased peak and fullscreen brightness. (See chart below for a benchmark comparison between the Sony Bravia 8 II, LG G5, and competing OLED TVs.)

The G5’s exceptional brightness had a real impact on its picture quality when I reviewed it. Movies with HDR had a near-3D quality due to the picture’s powerful contrast, which made bright highlights in pictures gleam with a high level of intensity. Colors also looked bright, which gave them a vivid quality without looking unnatural or boosted.

Another important factor with the G5 when I tested it was its ability to retain strong contrast when viewing in bright room lighting conditions, something helped by its anti-reflective screen. This made it a great TV for viewing daytime sports, and movies and darker TV shows also held up very well in bright lighting.

I’ve just started testing the 65-inch model of the Sony Bravia 8 II, so I’m only able to make preliminary judgments about its performance at this point. But as you can see in the brightness benchmark chart above, it falls short of Sony’s claimed 150% peak brightness boost over last year’s Bravia 8, which maxed out 817 nits peak and 182 nits fullscreen brightness.

That’s not to say the Bravia 8 II isn’t bright for an OLED TV. Its peak brightness (measured in Cinema mode, the most accurate available picture preset) is about the same as the 65-inch Samsung S90F, that company’s mid-range OLED TV for 2025, and another TV that uses a QD-OLED display panel. Fullscreen brightness is notably lower on the Bravia 8 II compared to the S90F, however.

As I said above, I’m just starting my subjective testing of the Sony Bravia 8 II, so I’ve yet to get a full sense of its capabilities. The Bravia 8 II’s lower brightness compared to the LG G5 (and also several flagship mini-LED TVs I’ve recently tested) means its picture has less of a vibrant pop when viewing in daylight conditions, and its color, while undoubtedly accurate (see picture accuracy chart), also appears a bit less vibrant.

At $3,500 / £2,999 / AU$3,999 for the 65-inch model, the Sony Bravia 8 II is priced around the same as new flagship OLED TVs such as the LG G5 and Samsung S95D. It has a premium design, along with a great set of audio features such as Acoustic Surface Audio+, which turns the TV’s OLED panel into a speaker, and Acoustic Center Sync, which lets it be used as a center channel when paired with compatible Sony speaker systems and soundbars.

It’s hard to ignore, though, that the new Samsung S90F, an OLED TV with comparable brightness plus a superior set of gaming features, costs $1,000 less at $2,499 / £2,699 / AU$4,299 for the 65-inch model. That’s quite a bit of cash that could otherwise be spent on 4K Blu-rays and other home theater goodies.

Does the Sony Bravia 8 II justify its premium price? We’ll soon have our review wrapped up, and at that point will provide complete thoughts on its performance and value.

In the meantime, the premium OLED TV competition is looking pretty tough for 2025, and Sony’s flagship model has plenty to prove.

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This year’s Wimbledon tennis championships is set to be the most interactive and exhaustive for sports fans thanks to a major AI upgrade.

The iconic tournament, long a mainstay of the British summer, is introducing a range of AI-powered upgrades and services for fans through its Wimbledon.com website and app.

This includes an all-new feature allowing fans to explore information about certain matches in almost real-time, and an upgraded tool looking to predict the possible winners of every match.

IBM has now been the technology partner for the All-England Lawn Tennis Club (AELTC), tournament organizers for Wimbledon, for 36 years, with 2025 marking another significant milestone for the pair.

Following in the footsteps of recent AI-powered innovations such as 2024’s Catch Me Up, which utilized Watsonx's generative AI to create player-based updates in the form of "cards" available on the Wimbledon.com website or mobile app, and AI commentary introduced in 2023, the two organizations hope these new advances will offer fans old and new greater insights into the tournament.

"The way sports are being consumed is ever-evolving,” Kevin Farrar, Head of Sport Partnerships at IBM UK, told a pre-tournament briefing attended by TechRadar Pro, “our challenge is to see how we tap into that”.

New for 2025 is Match Chat - a new conversational interface which lets fans explore info about the match in nearly real-time.

The tool is built with technologies on watsonx Orchestrate, taking AI agents and large language models (LLMs), such as IBM Granite, which have been trained on the Wimbledon editorial style and language of tennis - so “Gentlemen’s” and “Ladies’” singles, rather than Men’s/Women’s.

Fans will be able to use a number of pre-written prompts, or ask their own questions (such as, ‘who has served the most aces in the match?’, or ‘who is performing better in the match?’), with replies delivered almost immediately.

IBM says the Match Chat training also ensures the tool stays focused on the tennis - users will only be able to ask it questions about matches at the tournament, so there’s hopefully no chance it will get distracted if you ask it where the tastiest strawberries are.

“Whenever we're designing something new, it always starts with the fan first...we think this is going to be a really engaging experience that addresses a number of different kinds of fans,” noted Chris Clements, Digital Products Lead at the AELTC.

"At its heart, sport is a human thing, it's an emotional thing - we're using AI to be able to tell these stories to be told more effectively."

First introduced in 2024, the “Likelihood to Win” tool is also getting an AI boost, and will now alter its projected win percentage even throughout a single game, generating projections from AI-powered analysis of player statistics, expert opinion and match momentum.

The 2025 Wimbledon Championships run from June 30 - July 13, 2025, with the app available to download on Android and iOS now, as well as across the Wimbledon.com website.

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Artificial Intelligence (AI) touches virtually every industry, but it’s become a foundational element in today’s customer experience (CX) strategies. Contact centers, customer support platforms, and digital engagement tools rely on AI to enable faster response times, more personalized interactions, and to uncover valuable insights from massive amounts of customer data. Conversational AI, real-time voice analytics, and intelligent routing are just a few of the innovations transforming how organizations connect with their customers.

While there are plenty of benefits to AI, one thing remains true: AI will never be entirely free from bias. This is because AI is only as accurate as the data it was trained on - which is ultimately created, trained, and maintained by humans - humans, who unconsciously bring their own assumptions and blind spots into the AI systems they build.

This doesn’t mean AI can’t be trustworthy, responsible or fair. It simply means organizations need to implement strong guardrails and standards for monitoring and refining AI models to ensure fairness, inclusion, and neutrality. Mitigating bias is essential across industries, but is especially important in CX - not just for stronger performance and efficiency, but to build and maintain long-term customer trust and regulatory compliance.

When using AI to automate customer service tasks or assist human agents, even the smallest of biases in data can lead to low-quality experiences. For example, speech recognition tools might struggle to understand different accents and dialects, leading to frustrating customer experiences. Sentiment analysis might misread emotional cues, resulting in inaccurate responses or escalation to the wrong agent. Intelligent routing workflows can unintentionally prioritize certain customer profiles over others if historical training data skews unfairly.

These inconsistencies don’t just impact customers, but agents as well. Human agents may have to step in more often to correct AI mishaps or hallucinations, increasing their cognitive workload and decreasing employee morale, reducing the overall efficiency that AI-powered tools promise to deliver. Additionally, it decreases trust in the technology for agents, potentially leading to negative perceptions of how AI is used and how it is impacting their work.

To address these challenges, organizations need to start by using diverse datasets to train AI models and ensure they can adapt to evolving inputs. From there, constantly auditing and refining data allows organizations to weed out biases before they creep into outputs, ensuring more fair, accurate results. Additionally, monitoring real-time customer feedback across multiple channels gives organizations a strong idea of where customer frustrations are occurring and allows them to take another look at the data feeding those interactions.

Today’s consumers are more tech-savvy and privacy-conscious than ever. While recent data shows that more than half of consumers say AI alone doesn’t negatively impact their trust, how customer data is used with it can.

Organizations can address these concerns by adopting privacy-first principles to maintain trust and show commitment to responsible AI practices. Taking steps like encrypting sensitive data, restricting access through strong identity controls, and anonymizing customer data used in AI training models are great examples of a privacy-first approach. Transcripts, voice recordings, and behavior patterns must be handled with care - not just to build trust, but to comply with privacy laws like the GDPR, CCPA and the EU AI Act.

Transparency with consumers is equally as important, especially as it relates to how and what data is collected. Giving customers control over their data, ensuring transparent AI governance, clearly disclosing the use of AI chatbots or tools, and providing seamless escalation to human agents when needed, fosters a sense of trust among customers. Organizations that share how AI is used and decisions are made are likely to earn long-term customer loyalty.

What is easily forgotten is that there is an entire industry segment called Workforce Engagement Management and part of that is coaching agents and getting customer feedback. The ethics of best practice are already in place. Whether it is a virtual agent or a real agent, the principle of improving and compliance still applies. What AI can bring is that the time between the potential error and the review of that mistake can be almost instantaneous. We can also use AI to check AI and compare the ethical answer with the actual answer. Just make your AI agents trainable as you would with your human agents.

AI-driven innovation seems to move at the speed of light, but innovation doesn’t have to come at the expense of responsibility. Unsurprisingly, the most forward-thinking organizations are those that embed ethical principles into the innovation process from day one. Achieving this means fostering open collaboration between developers, data scientists, business stakeholders, and IT teams to ensure that both innovation and security are balanced.

Establishing a clear AI governance framework or roadmap helps align stakeholders around a clear vision for ethical AI. When standards and processes are both clearly defined and consistently applied, organizations can scale innovation more responsibly and confidently.

Bias in AI is a complex issue that nearly every organization has or will face - but it’s not an unsolvable one. Feeding diverse datasets into AI training models and then consistently auditing the data helps to mitigate bias. While truly bias-free AI may be difficult to achieve, understanding the challenges and continuously working to limit bias leads to stronger customer loyalty, enhanced compliance, and more opportunities to innovate at scale.

I tried 70+ best AI tools.

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

The increase of remote and hybrid working, as well as digitization and networking of a wide range of devices and systems, has made IT landscapes much more complex. Employees use so many devices – desktop computers, laptops, tablets, phones – that it’s all too easy to unwittingly give out information.

While organizations being exposed to cyber criminals is nothing new, over half of businesses in the U.S and UK have been targets of a financial scam powered by ‘deepfake’ technology, highlighting ‘deepfake’ scams are a high concern.

In today’s digital landscape, CEOs and CFOs have large digital footprints. They have speeches, interviews and videos across many social media and business channels like YouTube and LinkedIn as well as corporate websites.

And while generative AI has transformed the way people can work and create the vast amount of online content now available is providing criminals with endless material to generate convincing deepfakes, which are being used by scammers worldwide.

In May 2024, British engineering group Arup was duped into transferring $25 million to cybercriminals. The employee attended a video call, where everyone looked and sounded like familiar coworkers and bosses. But everyone in the call was a deepfake, AI-generated imitations of real people used to manipulate the employee into making the transfer. 

This wasn’t an isolated incident, either. Advertising group WPP were also targeted for a deepfake scam but thankfully, it was unsuccessful. The group's CEO detailed the attempted fraud in an email to leadership, warning them to look out for calls claiming to be top executives.

The number of deepfake attacks in the corporate world has surged in recent years. The use of rapidly advancing and now widely available technology is making it possible, and people in workplaces are susceptible to falling for it. 

This deepfake technology presents a growing threat to businesses, particularly through financial fraud and so when scams like these happen, the damage isn’t just monetary, it can also come back on you. If you were the one who let the scammer in, accidentally shared sensitive data, or approved a fraudulent request, you could be held accountable, even if you didn’t realize what was happening. 

AI-generated deepfakes exploit the element of trust, so while cybercriminals might be targeting your employer, you may be the entry point. Corporate deepfake fraud undermines business confidence and public trust.

Given how quickly these threats are evolving, organizations and their employees must develop adequate safeguards and policies to stay safe from exploitation.

Take Your Time and Confirm

Make sure you scrutinize and verify before responding to requests received digitally, especially if they include a request to disclose sensitive information or conduct financial transactions. If you’re encouraged to respond to any requests via phone or video call, call back using the channels you’re familiar with to confirm the task.

Watch for Signs of Unusual Behavior

If a co-worker’s voice sounds a bit off or their camera seems strangely blurry, it may be a sign of something unusual. Other signs that can indicate something is amiss include unnatural blinking or speech that is out of sync with their lips. AI and deepfakes can be deceiving, but they’re not perfect.

Create a culture of cyber awareness  

Encourage conversations with your colleagues that allow you to take a step back, pause and raise concerns whenever you feel concerned about a request. And while AI can be useful for a myriad of tasks, workplaces need to have detailed guidelines on its use.

Verify Attendees Before Letting Them In

If you've been invited to a meeting, double-check the invite to ensure you know who the sender is. If you’re hosting a meeting, it’s worth enabling waiting rooms or lobbies so you can approve who joins.

Don’t Hesitate to Question Unusual IT Assistance

If someone appears in a meeting claiming to be from IT and begins asking you to install software or allow them access, be cautious. Instead, verify with your IT department through your usual work channels about what the procedure is to make changes to your device.

We list the best online cybersecurity course.

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

• Salesforce research finds single-turn tasks see only 58% success, while multi-turn effectiveness drops to 35%
• Reasoning models like gemini-2.5-pro tend to outperform lighter models
• CRMArena-Pro has proven to be a challenging benchmark

Researchers from Salesforce AI Research have introduced a new benchmark – CRMArena-Pro – which uses synthetic enterprise data to access LLM agent performance in difference CRM scenarios.

It found LLM agents achieved around 58% success on tasks which can be completed in a single step, with tasks that require multiple interactions dropping in effectiveness to just 35% – barely more than one in three.

Although models like gemini-2.5-pro achieved over 83% success in workflow execution, the Salesforce researchers still highlighted some concerns with AI agents, suggesting they might not quite be up to scratch after all.

The paper, entitled 'Holistic Assessment of LLM Agents Across Diverse Business Scenarios and Interactions', explained that LLM agents displayed near-zero inherent confidentiality awareness, noting that their performance in handling sensitive information is only improved with explicit prompting (which often came at the expense of task success).

They also criticized previous and existing benchmarks for failing to capture multi-turn interactions, addressing B2B scenarios or confidentiality, and reflecting realistic data environments. CRMArena-Pro is build on synthetic data validated by CRM experts, covering B2B and B2C settings.

In terms of analysis results, reasoning models like gemini-2.5-pro and o1 outperformed lighter models most of the time – Salesforce's researchers concluded that models that seek more clarifications generally perform better, especially in multi-turn tasks.

For example, while the average performance across the nine models tested (three each from OpenAI, Google and Meta) resulted in a score of 35.1%, gemini-2.5-pro scored 54.5%.

"These findings suggest a significant gap between current LLM capabilities and the multifaceted demands of real-world enterprise scenarios, positioning CRMArena-Pro as a challenging testbed for guiding future advancements in developing more sophisticated, reliable, and confidentiality-aware LLM agents for professional use," the researchers concluded.

Looking ahead, Salesforce CEO Marc Benioff views AI agents as a high-margin opportunities, with major corporate clients including governments betting on AI agents for boosted efficiency and further cost savings.

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• The Google Pixel 10 series could allow you to use the telephoto camera for macro photos
• This would allow you to shoot from further away, and help avoid you blocking the light
• However, macro shots will also apparently be possible with the ultra-wide camera

Macro photography on phones often seems to be a bit of an afterthought, but with the Pixel 10 series, Google might be taking it more seriously.

This is according to Android Headlines, which claims that the Pixel 10 and its siblings – which are expected to include the Pixel 10 Pro, the Pixel 10 Pro XL, and the Pixel 10 Pro Fold – will have a tele-macro mode.

In other words, if this rumor is right, then these phones will be able to use their telephoto cameras for macro shots. That’s in contrast to the Google Pixel 9 series and most other high-end handsets, which tend to use their ultra-wide cameras for macro photography.

The advantage of tele-macro is that you can take macro photos from further away. That can be more convenient, especially when photographing something that might not appreciate you looming over it, like an insect. And because you can be further away from the subject, you also won’t be blocking the light as much.

But you may still want to get closer sometimes, and the Pixel 10 series should have you covered there too, because according to this leak, it will also offer macro capabilities with its ultra-wide camera.

So, in other words the Google Pixel 10 series might be doubling down on macro modes, offering two options where most phones have just one at most.

That – and especially the tele-macro mode – is great news, as it should make it much easier to take high-quality macro photos, and as a photography fan that could tempt me to upgrade.

Phone companies understandably tend to focus on their main and ultra-wide snappers, with telephotos often coming in third place and macro being even less of a consideration.

But if you like taking photos of a wide variety of things from a range of perspectives, then it’s important to have a wide range of focal lengths that you can shoot at.

It sounds like the Pixel 10 Pro and Pixel 10 Pro XL in particular could offer this, with wide, ultra-wide, telephoto (likely at 5x optical zoom), and two different macro modes potentially set to be offered – not to mention optical-quality 2x zoom, which is achieved on the Pixel 9 series through cropping the main sensor.

That could make for one of the most comprehensive cameras setups you’ll find on a smartphone, and might even tempt me back from the Apple side.

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I’d have placed a decent bet on Apple making a big deal about Apple Intelligence at WWDC this year, and from that I’d have predicted that the iPhone 17 would be Cupertino’s first proper AI phone.

The company somewhat fluffed the launch of Apple Intelligence, with AI-powered features for the iPhone 16 family taking a long time to roll out after its launch, and a smarter ChatGPT-centric Siri still absent. With that in mind, I’d have thought Apple would have gone harder on AI at its yearly developer's conference.

I was wrong.

Apple Intelligence was mentioned, but more as a smart virtual icing to a cake consisting mostly of the Liquid Glass design material and feature updates across Apple’s software ecosystem.

So with that in mind it’s arguably hard to draw any big insights into what’ll be in store at the next Apple event, which is likely to be a September one centred around new iPhones. But I think I can have a good stab at what the next iPhone will be like.

It’ll be boring.

My theory here is that the iPhone 17, if Apple does go with that nomenclature, will be a vehicle for iOS 26 with hardware upgrades taking a back seat.

While a lot of the core iOS experience will broadly be the same as iOS 18, the design changes could take a little getting used to; plus there are a host of new features in the native apps that could offer users new ways to do things.

So I suspect Apple won’t do much on the hardware side to get in the way of that experience; there’s not likely to be any big changes to the core iPhone design, camera array or materials.

Depressingly, I even expect the standard iPhone 17 will still have a 60Hz display, as it seems like Apple is one of the few companies who can get away with this and still charge a premium price.

There are some rumors that tout changes such as the use of aluminum for the frame of the iPhone 17 Pro, but I don’t buy them; the rumored iPhone 17 Air could use the lighter material, though I don’t see that phone shaking up the core design of iPhones.

Rather than champion many hardware upgrades, which in recent years have become iterative to the point of being dull, I think Apple will position the iPhone 17 range as a new chapter in getting the most out of a fresh iOS.

And I think a lot of people will buy into it.

Much like changing up an outfit with the addition of a new shirt or coat, or swapping the strap of a watch, redesigned software can make tried and tested hardware seem fresh and new, even if most of those changes are merely aesthetic.

But I think new features like an overhauled Phone app, smart tools for Maps, Wallet and Music, plus new dedicated Games app-meets-hub will make next-generation iPhones feel a lot newer than those that have simply had camera sensor or button upgrades over their predecessors.

I’m particularly intrigued to see how the Games app plays out, as Apple has quietly been strengthening the gaming experience on iPhone, with support for titles such as Death Stranding and a suite of original games in the growing Apple Arcade service, both of which I don’t feel Android has a strong answer for.

Add in a new chip, which is all but guaranteed for the next-gen iPhones, and you could be looking at some impressive stealthy gaming phones.

With that in mind, I can see the iPhone 17 offering a family of phones for people who’ve resisted upgrading to a new iPhone for a couple of years. That’s often the case, of course, but I feel iOS 26 will be more of an upgrade catalyst even though models dating back to the iPhone 11 can run this upcoming iteration of Apple’s mobile operating system.

I'd place a very solid bet that Apple will market the iPhone 17 range as the ideal vehicle for iOS 26, and I'm forecasting that'll suck in a lot of people; let me know in the comments if you don't agree.

All that being said, I’m totally open to Apple surprising me with an iPhone that’s being given a serious reworking or just has a good clutch of hardware upgrades. I don’t personally think this is the year for that – but I don’t think that matters either.

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• Microsoft report warns of "the infinite workday" creeping in
• Workers are coming online earlier and finishing later than ever before
• They're also being interrupted by an email or chat message every few minutes

New research from Microsoft has revealed many of us are struggling to maintain a healthy work-life balance - and that an overload of tasks could be what's stopping us from achieving any kind of productivity.

The company's June 2025 Work Trend Index Special Report has warned of "the infinite workday" which it says is a "significant shift" in the hours we work, largely thanks to the influence of hybrid working locations - and, of course, AI.

The report, based on "trillions" of productivity signals such as emails, chat messages and meetings gathered across Microsoft 365, warns the modern workday no longer has a clear beginning or end - and has urged for greater AI tool adoption to help lessen this burden on everyday workers.

"Our research, based on trillions of globally aggregated and anonymized Microsoft 365 productivity signals, reveals a challenging new roadblock: a seemingly infinite workday," Microsoft noted.

"AI offers a way out of the mire, especially if paired with a reimagined rhythm of work. Otherwise, we risk using AI to accelerate a broken system."

Microsoft said it found a major increase in users coming online by 6am, when 40% of users are apparently scanning through their inbox to prioritize tasks for the day.

By 8am, Microsoft Teams chat has overtaken email, with half of all meetings then taking place between 9–11am and 1–3pm - notably, the time when most of us are the most focused and productive throughout the day.

Tuesdays were found to be the busiest day for meetings, with 23% - whereas Fridays have just 16% of all meetings. Troublingly, Microsoft found meetings being held after 8pm are up 16% year over year, showing late finishes are also becoming worryingly normal.

Weekend email usage also saw a major increase, with nearly 20% of employees checking their email before noon on Saturday and Sunday - and over 5% are back working on emails on Sunday evenings.

The report found the average worker receives 117 emails and 153 Teams messages daily, meaning they are disrupted by an email, chat, or meeting every 2 minutes. Most employees were now also found to send or receive over 50 chats outside of their core business hours, risking their winding-down time.

"This points to a larger truth: the modern workday for many has no clear start or finish," Microsoft concluded. "As business demands grow more complex and expectations continue to rise, time once reserved for focus or recovery may now be spent catching up, prepping, and chasing clarity."

"The signals are clear: it’s time to break the cycle. The future of work won’t be defined by how much drudgery we automate, but by what we choose to fundamentally reimagine. AI can give us the leverage to redesign the rhythm of work, refocus our teams on new and differentiating work, and fix what has become a seemingly infinite workday. The question isn’t whether work will change. It’s whether we will."

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