It seems that even legacy apps are not immune to artificial intelligence. Microsoft has just rolled out a new Insider build of Windows 11 that sees the arrival of AI-powered features in Paint and Notepad.

While these are both stalwarts of the Windows app arena, they also feel like unusual targets for updating with such cutting-edge features. But this is precisely what Microsoft is doing, furnishing Notepad with a handy AI-driven Rewrite feature, and Paint with clever fill and erase options.

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The legal industry is not traditionally recognized as one that is quick to embrace change, but recently, some professionals have been embracing emerging technology maybe a little too quickly, leading to all kinds of problems. The use of generative AI tools has exploded in popularity since OpenAI’s ChatGPT debuted in late 2022, and some lawyers have turned to this generative AI (GenAI) technology to help them with everything from legal research to contract drafting.

However, these GenAI models aren’t foolproof. In fact, they’re likely to “hallucinate” information that seems accurate but is actually entirely made up. If lawyers using this tech don’t take the time to double-check their outputs, they run the risk of working with factually incorrect information, which is embarrassing at best and grounds for legal repercussions at worst.

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Learn how to simplify your life with AI in The ChatGPT Revolution -- now fully updated and revised, with even more ideas to spark creativity and boost efficiency.

The ChatGPT Revolution is the ultimate quick-start guide to unlocking the power of generative AI. We’re on the edge of an AI revolution… but what does that mean for you? It’s time to get curious about how the latest tech can help you handle your everyday load, at work and at home! Whether you’re overwhelmed by repetitive, time-consuming tasks or you’re simply looking for a fresh injection of creativity, ChatGPT has got your back.

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AI empowers developers to co-create the software that powers our world with greater efficiency and improved security. That’s why businesses are already making significant investments in AI. According to GitLab’s 2024 DevSecOps report, 98 percent of UK respondents said they are currently using AI in software development or plan to use it. It’s therefore no surprise that today, many companies are shipping software at least twice as fast as last year.

Here are eight ways developers can tap into AI’s potential:

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With the increased popularity of artificial intelligence technology, many human workers have expressed concern that AI models will replace them or make their positions obsolete. This is particularly the case with occupations like coding and software design, where artificial intelligence has the opportunity to automate several essential processes. Although AI is a powerful tool that has the potential to revolutionize the coding process, the role of human workers is still invaluable, as this technology is still in its infancy.

Software development teams are among the ranks of workers most profoundly affected by the AI revolution. Some of the ways in which software development teams have begun to use artificial intelligence include:

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Machine learning and neural networks are pillars on which you can build intelligent applications. Artificial Intelligence and Machine Learning Fundamentals begins by introducing you to Python and discussing AI search algorithms.

The book covers in-depth mathematical topics, such as regression and classification, illustrated by Python examples. As you make your way through the book, you will progress to advanced AI techniques and concepts, and work on real-life datasets to form decision trees and clusters.

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Agile decision-making is often hampered by the volume and complexity of unstructured data. That’s where AI can help.

In 2022, the U.S. Congress passed the Inflation Reduction Act (IRA), which allocated billions in investment to clean energy. This set off a race among private equity and credit firms to identify potential beneficiaries -- the companies throughout the clean energy supply chain that may need additional capital to take advantage of the new opportunities the IRA would create. It turned out to be quite a data challenge.

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AI + The New Human Frontier: Reimagining the Future of Time, Trust + Truth by Erica Orange, a renowned futurist, offers a compelling exploration of generative AI's potential to enhance human creativity rather than replace it. This pivotal book navigates how AI tools will help shape the human experience, and aid in augmenting human ingenuity and imagination.

The author eloquently argues that the essence of human intelligence -- our curiosity, critical thinking, empathy, and more -- is not only irreplaceable but will become increasingly valuable as AI evolves to take on routine tasks. AI + the New Human Frontier is a clarion call for embedding trust, human oversight and judgement into AI development, ensuring that the technology amplifies our most human capabilities. At a time when the lines between what is real, fake, true and false are becoming more blurred, reliance on human-centric solutions, not just technological ones, will become more critical.

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Worldwide spending on chatbots is expected to reach $72 billion by 2028, up from $12 billion in 2023, and many organizations are scrambling to keep pace. As companies race to develop advanced chatbots, some are compromising performance by prioritizing data quantity over quality. Just adding data to a chatbot’s knowledge base without any quality control guardrails will result in outputs that are low-quality, incorrect, or even offensive.

This highlights the critical need for rigorous data hygiene practices to ensure accurate and up-to-date conversational AI software responses.

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KT Corporation and Microsoft have entered into a five-year partnership focusing on artificial intelligence (AI), cloud technologies, and IT business development. The collaboration includes both a financial investment from KT and resource support from Microsoft, with the aim of advancing AI services and innovation in South Korea.

As part of the partnership, the two companies will focus on five key areas, including the development of customized AI solutions for Korea. This effort will involve creating tailored versions of Microsoft’s GPT-4 and small language models using KT’s data. These AI models will be used in a variety of applications, including customer service chatbots and industry-specific solutions for businesses.

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Large-language models (LLMs) and other forms of generative AI are revolutionizing the way we do business. The impact could be huge: McKinsey estimates that current gen AI technologies could eventually automate about 60-70 percent of employees’ time, facilitating productivity and revenue gains of up to $4.4 trillion. These figures are astonishing given how young gen AI is. (ChatGPT debuted just under two years ago -- and just look at how ubiquitous it is already.)

Nonetheless, we are already approaching the next evolution in intelligent AI: agentic AI. This advanced version of AI builds upon the progress of LLMs and gen AI and will soon enable AI agents to solve even more complex, multi-step problems.

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Today, 37 percent of respondents said their companies were fully prepared to implement AI, but looking out on the horizon, a large majority (86 percent) of respondents said that their AI initiatives would be ready by 2027.

In a recent Riverbed survey of 1,200 business leaders across the globe, 6 in 10 organizations (59 percent) feel positive about their AI initiatives, while only 4 percent are worried. But all is not rosy. Senior business leaders believe there is a generational gap in the comfort level of using AI. When asked who they thought was MOST comfortable using AI, they said Gen Z (52 percent), followed by Millennials (39 percent), Gen X (8 percent) and Baby Boomers (1 percent). 

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When the European Commission proposed the first EU regulatory framework for AI in April 2021, few would have imagined the speed at which such systems would evolve over the next three years. Indeed, according to the 2024 Stanford AI Index, in the past 12 months alone, chatbots have gone from scoring around 30-40 percent on the Graduate-Level Google-Proof Q&A Benchmark (GPQA) test, to 60 percent. That means chatbots have gone from scoring only marginally better than would be expected by randomly guessing answers, to being nearly as good as the average PhD scholar.

The benefits of such technology are almost limitless, but so are the ethical, practical, and security concerns. The landmark EU AI Act (EUAIA) legislation was adopted in March this year in an effort to overcome these concerns, by ensuring that any systems used in the European Union are safe, transparent, and non-discriminatory. It provides a framework for establishing:

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The question of how to train and improve AI tools is one that triggers fierce debate, and this is something that has come into sharp focus as It becomes clear just how Meta is teaching its own artificial intelligence.

The social media giant is -- perhaps unsurprisingly to many -- using data scrapped from Facebook and Instagram posts, but only in Australia. Why Australia? Unlike Europe where General Data Protection Regulation (GDPR) necessitated Meta to give users a way to opt out of having their data used in this way, Australia has not been afforded this same opportunity. What does this mean?

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AI is revolutionizing the landscape of software development, but it isn’t about replacing human developers. Instead, we are entering an era of “AI-augmented development,” where AI tools are becoming invaluable allies, enhancing human abilities across the software lifecycle. AI will help close the gap between the high demand for custom software and the limited engineering capacity worldwide.

In this new paradigm, AI is stepping in to assist with repetitive and time-consuming tasks, allowing developers to focus on more complex problems. The evolution of software teams will include a new breed of AI-native developers specializing in integrating AI into applications and leveraging AI tools. With AI, the potential productivity boost for developers is extraordinary, allowing them to work faster and smarter. However, while AI can amplify a developer's capabilities, it cannot replace the human creativity, problem-solving, and decision-making that are essential to successful software development. The future belongs to teams that can skillfully blend AI with human expertise.

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