Articles about Artificial Intelligence

Powerful new tools are only useful if people know what they can do and how to get them to do those things. For what feels like an eternity, Microsoft has been pushing Copilot as the greatest addition to Windows since... well, since Cortana it probably thinks.

For tech heads who have kept up with the latest news and developments, it’s easy to know what Copilot is, what it is about, and what it can do. But Microsoft realizes that not every Windows user is a tech head and is adding a guided tour to the app.

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Despite making claims to the contrary, Microsoft is not really thought of as being a company that takes much notice of user opinion. All too often it seems that incredibly unpopular options, features and changes are introduced with little regard for what users actually want.

But, to buck the trend, Microsoft has apparently been listening to feedback from people who are unhappy about the encroachment of Copilot into... well, pretty much everything, really. The decision to include a physical Copilot key on keyboards has been one such unpopular move, and the reaction from Windows 11 users has forced Microsoft’s hand.

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AI agents are having a moment. From automating customer service to optimizing supply chains, AI agents are constantly promising to transform how organizations operate -- faster, smarter and more efficiently. In fact, recent research from Salesforce shows that 93 percent of IT leaders plan to implement AI agents in the next two years. But what exactly is an AI agent?

An AI agent is a software system that can autonomously perform tasks like answering customer inquiries and translating documents in multiple languages, improving overall efficiency and customer experience. Unlike traditional automation tools that follow static rules, AI agents continuously learn from data and adapt to changing conditions to make decisions on their own, in real time. That’s what makes AI agents powerful and risky.

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AI and machine learning tools have had an important role in software development for many years, helping to drive efficiency and automation. The new generation of AI tools has the potential to supercharge this transformation, bringing even greater improvements to efficiency, cost-effectiveness, and innovation cycles.

However, these tools also come with new risks, including security vulnerabilities, governance challenges, and regulatory uncertainty. As with any new technological approach, organizations bringing new AI tools and specifically AI-generated code into their development lifecycles must balance benefits with the potential risks.

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Artificial intelligence (AI) is transitioning from an emerging technology to a business mainstay. While many businesses are already reaping the benefits of strategic AI implementation, others are adopting AI solutions without first considering how to integrate the tools strategically. While some AI tools offer tangible gains in automation and efficiency, others overpromise and underdeliver, leading to costly investments with little return.

Distinguishing marketing buzz from real-world impact is critical for businesses looking to make AI a true driver of operational success. Despite AI’s potential, many businesses fall into common pitfalls that prevent them from realizing the full value of innovative technology. From unclear objectives to poor integration and security risks, these challenges can turn AI from a competitive advantage into an expensive mistake.

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When Microsoft first added the AI-powered Recall feature to Windows 11, it could hardly have been expecting the backlash that came from users. Concerns about privacy and security forced the company to delay the rollout of the activity and screen monitoring snapshot tool.

Now Microsoft thinks it has made the improvements required to calm the concerns of those who spoke out very loudly against the tool. A new preview version of Recall is making its way to some users right now.

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When talking about AI in general -- including Copilot -- the focus tends to be on the impressive time-saving capabilities and futuristic features. What is often overlooked is the potential for artificial intelligence to improve accessibility.

But this is exactly what Microsoft is doing with the features it has for Copilot+ PCs. And now the company has made many of the Copilot+ experiences available to a wider range of processors, so systems with AMD Ryzen AI 300 series, Intel Core Ultra 200V and Snapdragon X Series chips can feel the benefits. There are huge advances in accessibility to be explored.

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Today, Google introduces Gemini 2.5. Initially, it will only be available as the experimental Gemini 2.5 Pro. And yes, as you can predict, the search giant is calling its newest AI model the most advanced version yet.

While the company promises huge improvements in reasoning and coding, the move feels more like Google playing catchup to OpenAI’s ChatGPT. Let’s be honest, folks -- ChatGPT has dominated public attention and enterprise adoption for months.

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Copilot remains a divisive addition to Windows, so there was a mixture of jubilation and despair when Microsoft released updates for Windows 10 and Windows 11 that had the unintended side effect of deleting the AI-powered digital assistant.

At the time, Microsoft acknowledged the accidental deletion and unpinning of the app and suggested Copilot fans manually download and reinstall the app while it worked on a proper fix. Now the company says it has things sorted out -- to the delight or chagrin of those affected.

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Implementing cloud services with AI technologies, such as Microsoft Copilot, is fundamental for IT providers seeking to offer advanced solutions. However, with greater dependence on AI-generated tools to foster innovation and productivity in organizations, the necessity of enabling cloud environments to host these sophisticated capabilities has become paramount.

Their successful integration, however, comes at the expense of having additional investments in computing power, data analytics, and intelligent security solutions that shield sensitive information from unauthorized access. Many companies first need to accomplish a cloud migration to improve the security posture of the infrastructure before implementing AI.

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This year started with a shockwave for the tech world, and the AI community in particular. Launched by a relatively obscure Chinese startup, DeepSeek not only challenged the rules of the AI game by sending Nvidia's stock plummeting 17 percent in one day and becoming the most-downloaded app on the App Store and Play Store, but also showed the persisting security problems by accidentally exposing its database and leaking sensitive data including chat histories, API keys and backend operational details.

Success and failures aside, DeepSeek made the world realize how quickly and deeply a single AI model release can impact global events, and this raises three questions. First, how legitimate (and sustainable) are the massive AI investments in the West? Second, what risks and opportunities does open-source development pose? Finally, is it possible to balance growth and innovation with data privacy and security amidst a global AI race?

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OpenAI has just announced GPT-4.5! While the company says the model is its most advanced AI yet, there’s definitely more to this release than meets the eye. Version 4.5 is a clear warning for anyone betting against OpenAI, including Elon Musk.

GPT-4.5 is being labeled a “research preview,” meaning OpenAI is still testing its strengths and weaknesses. With that said, it is apparently smarter, more natural in conversations, and better at avoiding mistakes than previous models. That could signal big trouble for xAI’s Grok, which Musk has been pushing as an alternative to OpenAI’s models.

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Elon Musk is not happy with the direction he sees OpenAI heading -- so much so that he wants to buy back the artificial intelligence firm he co-founded. The billionaire walked away from OpenAI more than five years ago, but he does not like the way CEO Sam Altman is handling things.

Musk being Musk, deep pockets and all, has teamed up with other investors to buy “all assets” of OpenAI. The consortium has put a bid of $97.4 billion on the table, and Musk has stated that he will ensure that (assuming he is able to make the purchase he so desperately wants) “OpenAI [...] return[s] to the open-source, safety-focused force for good it once was”.

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Just how AI models should be trained has been a subject of debate for some time now, with there being a lot of focus in whether publicly posted social media content is ripe for the picking or not. Now a new lawsuit suggests that Meta has been using pirated ebooks as a data source.

Emails that are serving as evidence in a copyright case against Meta appear to show that the Facebook owner has torrented scores of terabytes of data from a number of online resources. Among the places mentioned in newly released unredacted emails are Anna’s Archive, Z-Library and LibGen.

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Modern enterprises are under fire from all angles. Attackers have become increasingly sophisticated and persistent in how they target enterprise data and systems. But as the threat landscape has evolved and become more complex, one tried and true method for malicious attackers stands out as a weak point for nearly every enterprise attack surface: outdated software. As much as patch management has advanced in recent years, the fact remains that most organizations struggle to deploy patches consistently and effectively, and that leaves systems exposed to cyber attacks.  

Cybercriminals have become quite adept at exploiting unpatched software, using it as an easy entry point into enterprise networks. Malicious actors have developed an incredibly sophisticated understanding of where enterprise weak points are. In fact, most criminal operators have a deeper understanding of enterprise attack surfaces than the security teams tasked with defending them. Enterprise networks often consist of hundreds of thousands of IT assets, and every single unpatched instance represents an opportunity for attackers to compromise data and operations.

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