AI in life sciences and healthcare
The life sciences and healthcare industries have critical challenges to overcome in 2025. Costs in both are on the rise, forcing business leaders to seek out more efficient methods for developing and delivering new products and services. Additionally, consumer expectations are higher than ever, with patients and other clients looking for features that maximize convenience and accessibility.
To help with these challenges, industry leaders should consider the potential of artificial intelligence. AI has been transforming the business world by providing the power to automate, analyze, and increase efficiency in unprecedented ways. For life sciences and healthcare, AI provides the capability to gather and analyze data in a way that drives better outcomes and delivers better consumer experiences.
Coding in the age of AI: Redefining software development
As AI marks its stamp on every industry, the software development landscape is experiencing a rapid transformation driven by the integration of automation into coding practices. With approximately $1 billion invested in AI-driven code solutions since early 2022, we’re seeing a shift that goes far beyond just automation. This transformation is redefining the entire software development lifecycle and testing assumptions about what it means to be a developer.
It is clear, as we embark at the beginning of a new era, that the future of coding does not reside in opposing change, but in adapting our approaches to education and practice in software development.
The AI arms race: How machine learning is disrupting financial crime
The financial services industry is in the midst of an unprecedented AI arms race. Criminal organizations are getting smarter, using cutting-edge tech to launch elaborate attacks on financial systems. In response, financial institutions (FIs) are turning to AI and machine learning (ML) to level the playing field. That’s right -- FIs are keeping pace with their criminal counterparts, thwarting malicious activity much more reliably and efficiently.
Having spent my career at the intersection of finance and technology, I've seen the constant race to stay ahead of evolving criminal operations. Rules-based systems, while foundational, simply can't match the speed and adaptability of modern financial crime. But now, through advanced pattern detection, adaptive defense mechanisms, and dramatically improved accuracy in identifying suspicious activity, AI is fundamentally reshaping how we fight financial crime -- and winning.
The dark side of AI: How automation is fueling identity theft
Automations empowered by artificial intelligence are reshaping the business landscape. They give companies the capability to connect with, guide, and care for customers in more efficient ways, resulting in streamlined processes that are less costly to support.
However, AI-powered automations also have a dark side. The same capabilities they provide for improving legitimate operations can also be used by criminals intent on identity theft. The rise of low-cost AI and its use in automations has empowered scammers to widen their nets and increase their effectiveness, leading to a drastic increase in identity theft scenarios.
Microsoft is pulling the Suggested Actions feature from Windows 11
Introduced a couple of years ago, the Suggested Actions feature of Windows 11 was designed to make life easier, simplifying dealing with information encountered on websites, in documents and so on. Now the feature is being ditched.
Microsoft introduced Suggested Actions as a productivity-enhancer that worked across all aspects of Windows. While the company has said nothing about why it is killing off what is ostensibly a useful tool, the answer can probably be summed up in two letters: AI.
Why agentic AI could make API threats a $100 billion-problem
APIs are the glue that holds together the modern enterprise. As digital transformation projects get the boardroom green light in ever greater numbers, so the infrastructure connecting software, data and experiences has expanded. Yet a potential storm is coming in 2025, as a new wave of agentic AI innovation takes hold in the enterprise. In fact, Gartner predicts over 30 percent of the increase in demand for APIs will come from AI and tools that use Large Language Models (LLMs)by 2026.
Unless organizations can mature their API security posture, next year could be the first time we see an LLM app security breach linked to APIs. And without improved API observability, it won’t be the last.
Willow: Google reveals new quantum chip offering incomprehensibly fast processing
For all of the focus on AI, for many people, the future lives in quantum computing. Google is among those who agree, and the company has just unveiled its latest advancements in the field -- its quantum chip, Willow. Like quantum physics and quantum mechanics, the numbers and concepts involved in quantum computing are extraordinarily difficult to imagine.
Revealing its advancements, Google says that its quantum chip took less than five minutes to perform tasks that would take even the fastest supercomputers 10 septillion years. Providing some sense of perspective, Google points out that this is “a number that vastly exceeds the age of the Universe”. So what is it that makes Willow so special -- and so fast?
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Cyberwarfare 2025: The rise of AI weapons, zero-days, and state-sponsored chaos
As we approach 2025, the notion of warfare is increasingly shifting from the physical to the digital domain. Cyberwarfare, once considered a supplementary tool for traditional military operations, has now emerged as a primary weapon for nations seeking to assert dominance or inflict damage on their adversaries without the need for physical conflict. Simply put, it is easier, requires fewer resources, and can often cause maximum damage without sustained efforts. The rise of AI-driven cyber weapons, zero-day vulnerabilities, and state-sponsored cyberattacks is creating an unprecedented era of digital warfare.
Nation-states and rogue factions are rapidly integrating cyberattacks into their military arsenals, with cyber operations becoming a first-strike option in geopolitical conflicts. By targeting critical infrastructure -- such as energy grids, communication networks, transportation systems, and supply chains -- these attacks can cripple an entire national infrastructure and create mass chaos without a single physical shot being fired. This shift toward cyber warfare reduces the immediate risk of physical casualties, and in turn allows state actors to engage in asymmetric warfare, where a smaller, technologically advanced nation can punch well above its weight.
DeepMind dominates European AI research: What does this mean for researchers?
AI’s steady impact on the academic and research community is measurable through citation metrics, essentially showing how many times a study has directly influenced subsequent research. A recent analysis of AI-related citations showed beyond doubt the impact of AI. It also revealed another noteworthy statistic: Google’s DeepMind made up just under half of all AI-related citations from 2020-2024.
The company’s dominance is undoubtedly a testament to the importance of its work -- but it also serves as a starting point from which to probe further into the research landscape in Europe and how it’s been impacted by AI. Concentrated influences in academia and research can have long-lasting effects on funding distributions, channels of collaboration, and ultimately the potential for innovation. Add to this the powerful and relatively new tool of AI, and suddenly the future trajectory of scientific research on the continent looks a lot less clear.
Overcoming the skills gap with robust, easy-to-use AI
When it comes to adopting new technologies, the legal sector has traditionally been more cautious than other industries. However, AI’s potential to transform legal workflows and unlock new levels of productivity is difficult to ignore. In fact, the industry is moving at speed: a recent study shows almost three quarters (73 percent) of legal practitioners plan to utilize AI in their legal work within the next year.
On a practical level, AI is evolving so quickly that across many practices, employees have varying levels of knowledge and understanding of how AI works, what tasks they should be using it for and the legal implications of using it. At the same time, if firms introduce AI solutions that require deep technical knowledge to use, skills gaps could become increasingly problematic.
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AI and hiring
The advent of artificial intelligence inspired a great deal of fear in the workplace, especially regarding job displacement. As AI's potential became more apparent, workers in virtually every industry feared they would be replaced by an AI-driven alternative that could work faster and for less pay.
To date, those fears have been mostly unfounded. In fact, a recent study of nearly 3,000 different workplace skills determined none of them were “very likely” to be replaced by generative AI.
Microsoft’s answer to Apple Intelligence may be Windows Intelligence
Branding is important, and this is something we’ve already seen with digital assistants like Siri. Moving into the artificial intelligence era, companies have been falling over themselves to get their own stamp on their version of AI.
Apple has opted for the reasonably predictable “Apple Intelligence”, while Microsoft’s approach has been a little more haphazard. But now there are clues that suggest the company has finally come to understand the importance of giving people an overarching term to cover all of its AI-related offerings. Say hello to Windows Intelligence.
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