Three Technologies That Are Set To Change The World

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    We are on the brink of an era of unparalleled opportunity. Today, we’re seeing firsthand what happens when companies adopt breakthrough technologies like the cloud and artificial intelligence (AI). But we also know that this is just the beginning. Because you will come to understand the truly transformative impact it will have in the near future.

    McKinsey analysts predict that by 2030, more than £1 trillion of economic value will be created in the cloud by Fortune 500 companies. Meanwhile, AI could create economic value of over £1 trillion at maximum. $15.7 trillion – Greater than the economic output of China and India combined.

    I was recently invited to participate in a panel discussion hosted by Microsoft to discuss how this happens and how businesses and organizations can seize this opportunity. Together with business leaders and technology experts, we took a deep dive into some of the most disruptive changes ahead.

    Three in particular are believed to shape the future of cloud over the next three to five years, and the goal is to understand how you can prepare today for their impact tomorrow.

    This is a discussion that brings together the future of connectivity, the future of AI, and the future of computing, said Nick McQuire, host of the series and director of product management for Microsoft’s Strategic Mission and Technology division. says. As a teaser, here’s an overview of some of the ideas that came up.

    Modern connected apps

    Major advances in connectivity, such as the arrival of 5G, will further expand the reach and benefits of the cloud, allowing it to touch even more aspects of our lives.

    Speaking about this topic with McQuire and Sara Nagy, Director of Customer Engagement at Microsoft, gave me the opportunity to highlight one of my favorite examples of technology-driven disruption. A Norwegian salmon farming company has effectively implemented facial recognition for fish to automate fish feeding and health management. By deploying 5G, computer vision, and Internet of Things (IoT) tools in its marine pens, the company can not only feed individual fish once a day, but also recognize signs of disease and identify sick fish. We have built a system that can isolate fish from fish. healthy stock. This increases productivity and reduces waste as the fish grow at a uniform rate while also reducing the risk of disease.

    Such connected infrastructure enables organizations to create all kinds of smart tools and applications that can be used to do business more efficiently, reduce waste, and develop new products and services. As Nagy points out in the discussion, this means that 5G is designed to be inherently cloud-native, simplifying the task of creating a private network and connected device ecosystem. The network is driven by the fact that it offers enhanced functionality such as slicing.

    The conversation also covers interesting areas of space technology and how satellite networks can drive ground-level connectivity. This not only means that services are often underserved, but also in rural and remote areas that face the toughest challenges, from access to health and education to dealing with the impacts of climate change. Expand the range of use of cloud tools.

    AI co-inference

    At the beginning of the industrial age, we learned to work hand-in-hand with machines, significantly redefining the way we work and leading to a far-reaching restructuring of society. The transition to an era of human-created machine intelligence is likely to be even more disruptive as we learn to collaborate with machines not only on manual tasks but also on tasks that involve reasoning and decision-making.

    This shifts the focus of AI games from simply developing the smartest technology possible to developing solutions that can work in collaboration with humans. The way we interact with machines is expected to evolve dramatically. This change has come a long way since the advent of ChatGPT, generative AI, and large-scale language models (LLM). We can also expect advances in machines that can understand what we want from his AI colleagues and autonomously improve his AI capabilities to improve his own.

    quantum scale

    As AI is able to tackle more sophisticated problems, its algorithms inevitably become more complex and require more computational power. Unlocking the potential of quantum computing could lead to computers that are up to a trillion times faster than traditional classical computers. They may not be suitable for all computing tasks, but they could be a game-changer when it comes to modeling and simulating the natural world (which is itself defined by quantum mechanics, of course). It also has great potential for complex mathematical tasks involved in drug discovery, modeling financial markets, and developing more efficient batteries and power cells.

    Many still think of quantum computing as a technology of the future, but it’s here today, and Nagy brings up the hybrid approach Microsoft has taken in our discussion. Through this paradigm, the company is already offering a service called Azure Quantum Elements that combines quantum computing, AI, and classic high-performance computing to customers who require the highest levels of supercomputer performance.

    As part of the discussion, we’ll highlight the work Microsoft partner Johnson Matthey is doing. Johnson Matthey is a UK-based global chemicals and sustainable technology company that is looking for alloys that can be used as a replacement for the very expensive platinum as catalysts in hydrogen fuels. cell. By leveraging Azure quantum technology, he was able to reduce the time it took to model molecules from about six months to less than a week.

    Mr. Nagy said: “Quantum computing speaks the language of nature. If we want to solve humanity’s toughest problems like climate change and food insecurity, we need to shorten and accelerate the next 250 years of discoveries into the next 25 years. is needed.””

    knitting thread

    None of these technologies emerged in isolation, and most organizations will find that when combined, their impact far exceeds their individual potential. As the computer vision elements of the salmon farm mentioned earlier demonstrate, the convergence of AI and connected apps enables smart connected apps. Similarly, quantum computing will make AI algorithms faster, smarter and able to process more data in less time, ultimately leading to better decisions.

    It is the foundation of the intelligent and highly powerful interconnected ecosystem that businesses and organizations use to build tomorrow’s can click here Watch the first episode of our webinar series. Each upcoming episode will focus on a specific aspect of this “big picture” view. Upcoming episodes will take a deeper dive into space technology and Earth observation, 5G, generative AI, and quantum computing, highlighting opportunities and identifying risks and challenges.


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