If we look at the last couple of years, we have seen a significant leap in the way 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, we saw significant innovation in the technology front, which will reach new heights in the year 2022 and further.
As strongly claimed by Sundar Pichai, CEO of Google Inc, the impact of artificial intelligence will be far greater than fire and electricity on humanity. Well, it might sound a bit exaggerated but what it implies is that the year 2022 is going to see new developments in this space and it will constantly create new benchmarks.
It is a looming fear that machines or robots will eventually replace the human workforce and may even render certain roles obsolete or redundant. But that is not the fact, and we are well aware of that. The reality is that as companies start using machines to crunch data and leverage AI to interpret data and extract meaningful information out of it, it becomes even more pertinent for the human workforce to work hand-in-hand with such technology.
It will encourage the workforce to enhance their skills and become more cognitive in the approach. If you look at some functions, such as marketing, they are already using intelligence to derive, which leads to chase and which ones to drop. In engineering teams, the use of artificial intelligence is to identify preventive maintenance, thereby fixing a problem in a machine even before it occurs. This indicates that in every profession, there will be the availability of smart tools that are AI-driven, helping individuals in that profession to work efficiently.
Efficient language modeling
Another area where we can see a significant surge in the usage of machines is language modeling. What it means is the use of machines to communicate with humans in a language that humans can understand. We are also looking at converting human languages into codes to execute and run applications.
A relevant example would be the recent release of an application by Open AI titled GPT-3(1). It is said to be the most advanced language model ever created, comprising of 175 billion parameters – comprising of variables and data points. It is heard that Open AI is already working on a successor to GPT-3, and this successor will be far more advanced and is aptly called GPT-4. GPT-4 is estimated to have around 100 trillion parameters, which means that GPT-4 will be 500 times more powerful than GPT-3.
Artificial Intelligence in Cybersecurity
Even though World Economic Forum(2) 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.
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.
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.
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
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.