Top 7 Artificial Intelligence Trends to watch In 2022
Artificial Intelligence is becoming an integral part of many organizations’ business plans. Already the journey of digital transformation has catapulted thanks to Machine Learning and Artificial Intelligence and because of the pandemic situation. The full scale of the impact that giving machines the ability to make decisions – and therefore enable decision-making to take place far more quickly and accurately than could ever be done by humans – is very difficult to conceive right now. But one thing we can be certain of is that in 2022 breakthroughs and new developments will continue to push the boundaries of what’s possible.
According to Sundar Pichai, the CEO of Google, AI will transform how we lead our lives and revamp many industries, including healthcare, education, and manufacturing.
Here are seven areas where artificial intelligence will have a tremendous impact in the year 2022
1. Augmented workforce
There have always been fears that machines or robots will replace human workers and maybe even make some roles redundant. 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. 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.
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 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 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.
2. Efficient language modeling
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. 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. OpenAI is known to be working on a successor, GPT-4, that will be even more powerful. 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. It will also become much better at creating computer code.
3. Artificial Intelligence in Cybersecurity
Even though World Economic Forum has declared the criticality of cybercrimes, it doesn’t need rocket science to know that cybercrimes and cyber-attacks are on the rise. As we see more and more involvement of machines in every facet of our lives, there is a potential risk of cybercrime, and it continues to be a problem.
The logic is simple – more devices you add to your network, it creates a potential failure point those attackers can leverage to access your data and misuse it. Today, we also see that networks are getting complex day by day. This is where artificial intelligence can play a significant role. AI can identify patterns and around network traffic and highlight suspicious activities through smart algorithms. We can expect a considerable amount of AI development in the area of cybersecurity.
4. Metaverse & Artificial Intelligence
Metaverse is a terminology coined for an environment, a digital environment to be more specific, where multiple users can work and play together. It is a virtual world, just like the internet, but that delivers amazing experiences, and it is created by users for users.
There was a huge buzz in this space ever since Mark Zuckerberg spoke about creating one such where there will be a combination of virtual technology and his social media platform – Facebook. It is an unwritten statement that Artificial Intelligence will be a key component of the metaverse. It will allow users to create environments, which they can be part and will give them a homely feeling, subsequently enhancing their creative side. There will also be a scenario where humans will share these environments with AI machines for completing various tasks and activities within those environments.
5. Low/No code AI
One of the major challenges that organizations are facing today is the dearth of skilled AI engineers, who can develop the required tools and algorithms. With the advent of no-code or low code solutions, this challenge can be addressed by providing simple and intuitive interfaces, that can be used to create complex systems on Artificial Intelligence, theoretically.
If you look at some of the tools for web designing, they are no-code tools where users can just drag and drop the modules and features to the page and the website is ready. Similarly, no-code AI systems will help in creating smart applications by combining multiple pre-created modules and injecting specific data into them. NLP and Language Modelling are technologies that can be used for giving voice-based instructions to execute various tasks.
6. AI-driven vehicles
Another area where AI will play the brain of a system will be vehicles, such as cars, aircraft, and boats. This will allow respective companies to deliver exceptional travel experiences to consumers. Tesla is a classic example of AI-driven cars, which give a breath-taking driving experience. Moreover, it also ensures the prevention of accidents because the inbuild AI engine can foresee upcoming obstacles and prevent any kind of road accidents. On average 1.3 million people die of road accidents every year. So, if we look at these alarming statistics, then AI does have a critical role to play to stop this from happening.
Tesla confirms that its cars will have the self-driving capability, which will be available by 2022. However, there is a minuscule possibility of it being commercially available in the market in 2022. We are also anticipating the usage of AI in ships with the coming up of Mayflower Autonomous Ship (MAS), which has an artificial intelligence component of IBM. AI in creativity
7. Creative AI
All of us are well aware of the usage of artificial intelligence to create music, poetry, and even video games. We are expected to see models such as GPT-4 and Google’s Brain that will completely revolutionize the concept of AI in creativity and redefine new boundaries, to help us know about possibilities. We shall also see the implementation of artificial intelligence in day-to-day tasks such as creating headlines for articles and newsletters, creating logos and infographics. Though creativity is a human skill, we are seeing more possibilities of machines doing these tasks.
While we are aware of what AI is capable of and how people can harness the possibilities that artificial intelligence brings to the table, there is always a question on whether there is any area or task where AI is not required. Not sure that is something that we can think of at this juncture because every step of our life, we see AI being a very pertinent component.
(Updated on 3 Jan 2022)