The pandemic has made us realize that technology is our savior and guide during the crisis. Artificial Intelligence has become an integral part of many organizations’ business plans. Many ambitious claims are being made on the progress of AI in the year 2022 by many tech geniuses, including Google CEO Sundar Pichai. Although it all seems a bit exaggerated, it implies that the year 2022 will see many developments in this area and will constantly keep achieving more significant milestones. Even if the benefits of AI may not always be easy to see, it has proven itself capable of constantly improving, reducing errors that are generally made by humans, reducing labor, and always learning from itself and the surroundings. Here are the top AI trends for 2022.
Recently, GPT-3 by OpenAI was released, the largest and the most advanced language model ever created. Language modeling is a process that allows communications between humans and machines to happen. It either allows the machines to understand and communicate with humans in a language they both understand or take natural human languages and convert them into computer code that runs programs and applications. The GPT-3 consists of about a hundred and seventy-five billion parameters - variables and data points that machines can use to process human languages. It is being predicted that its successor, GPT-4, will have about a hundred trillion parameters making it 500 times larger than GPT-3. It is possible to assess the likelihood of a specific sequence of words appearing in a phrase by using language models based on natural language processing techniques and algorithms. Using these models, it is possible to anticipate the next word in a phrase, summarize textual information, and even generate visual charts out of the plain text.
The most challenging obstacle that most organizations face today in adopting AI is the lack of skilled engineers who can develop specific algorithms and tools. No-code AI is a code-free system that allows organizations to use AI to perform various tasks, including data classification and analysis. No-code and Low-code aim to overcome the shortage of engineers by providing simple and intuitive interfaces that can be used to create complex systems on artificial intelligence, in theory. For instance, some tools used for web designing are no-code tools, which use the drag and drop method to create modules and features to the page and the website is ready. Similarly, no-code AI systems create innovative applications by combining pre-created modules and injecting specific data into them.
Another area where AI acts as the system's brain is Autonomous vehicles, including cars, boats, even aircraft. This will revolutionize the travel experience over the coming decade. Tesla is the classic example of AI-driven cars that deliver an exceptional experience to its users, reducing the number of accidents caused by human error by using artificial intelligence.
Tesla confirms that by the year 2022, fully self-driven cars will be made available, although there are some doubts about it being commercially available in the year 2022. Its competitors are Apple, Waymo(powered by Google), Ford, and GM, and any of them might be announcing significant leaps forward in a coming couple of years. This year will hopefully also see the world’s first autonomous ship travel across the Atlantic as the Mayflower Autonomous Ship(MAS) will once again attempt the journey.
Humans have been living in the constant fear of being replaced by robots for ages now. However, while the companies navigate the process of creating data and AI-literate machines, humans will find themselves working with and alongside machines that use innovative and cognitive functionalities to boost our knowledge and skills.
AI is being mixed with human knowledge in just about every occupation to get the best possible results. For instance, specific tools are being used to sort through the ever-growing amount of available data to find the nugget of information that we need for a specific task. Consequently, it will motivate employees to improve their abilities and adopt a more cognitive approach to work. Look at some functions, such as marketing, where intelligence is already being used to determine which leads to pursue and which ones should be dropped. The application of artificial intelligence in engineering teams is to identify preventative maintenance, thereby preventing a problem in a machine from occurring in the first instance. This shows that intelligent technologies that are driven by artificial intelligence will be available in any profession, allowing workers in that profession to perform more efficiently.
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