![]() All of this will play a key role in the ongoing "democratization” of AI and data technology.ĪI is the "brains" that will guide the autonomous cars, boats, and aircraft that are set to revolutionize travel and society over the coming decade. Technologies such as natural language processing and language modeling (see above) mean that soon it may be possible to use nothing more than our voice or written instructions. ![]() Much like the way web design and no-code UI tools now let users create web pages and other interactive systems simply by dragging and dropping graphical elements together, no-code AI systems will let us create smart programs by plugging together different, pre-made modules and feeding them with our own domain-specific data. No-code and low-code solutions aim to overcome this by offering simple interfaces that can be used, in theory, to construct increasingly complex AI systems. We will also most likely become used to sharing our metaverse environments with AI beings that will help us with tasks we’re there to do, or just be our partner for a game of tennis or chess when we want to relax and unwind.Ī big barrier to the adoption of AI-driven efficiency in many companies is the scarcity of skilled AI engineers who can create the necessary tools and algorithms. It will help to create online environments where humans will feel at home at having their creative impulses nurtured. Some of the most significant applications of AI that we will see develop in 2022 are likely to be in this area.ĪI will undoubtedly be a lynchpin of the metaverse. By analyzing network traffic and learning to recognize patterns that suggest nefarious intentions, smart algorithms are increasingly playing a role in keeping us safe from 21 st-century crime. This is where AI can play a role, though. As networks of connected devices become more complex, identifying those points of failure becomes more complex. As machines take over more of our lives, hacking and cybercrime inevitably become more of a problem, as every connected device you add to a network is inevitably a potential point-of-failure that an attacker could use against you. This year the World Economic Forum identified cybercrime as potentially posing a more significant risk to society than terrorism. It will also become much better at creating computer code. Although details haven’t been confirmed, some estimate that it may contain up to 100 trillion parameters, making it 500 times larger than GPT-3, and in theory taking a big step closer to being able to create language and hold conversations that are indistinguishable from those of a human. OpenAI is known to be working on a successor, GPT-4, that will be even more powerful. We have recently seen the release of GPT-3 by OpenAI, the most advanced (and largest) language model ever created, consisting of around 175 billion “parameters”- variables and datapoints that machines can use to process language. Language modeling is a process that allows machines to understand and communicate with us in language we understand – or even take natural human languages and turn them into computer code that can run programs and applications. In just about every occupation, smart tools and services are emerging that can help us do our jobs more efficiently, and in 2022 more of us will find that they are a part of our everyday working lives. In knowledge industries, such as law, we will increasingly use tools that help us sort through the ever-growing amount of data that's available to find the nuggets of information that we need for a particular task. In engineering roles, AI tools help us by providing predictive maintenance – letting us know ahead of time when machines will need servicing or repairing. In some functions, such as marketing, we’re already used to using tools that help us determine which leads are worth pursuing and what value we can expect from potential customers. ![]() However, as companies navigate the process of creating data and AI-literate cultures within their teams, we will increasingly find ourselves working with or alongside machines that use smart and cognitive functionality to boost our own abilities and skills. ![]() There have always been fears that machines or robots will replace human workers and maybe even make some roles redundant.
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