Artificial intelligence is one of the most transformative technologies developed by human beings. According to Google CEO Sundar Pichai, its impact on the progress of human civilization will be greater than that of fire or electricity. Although it’s a tall claim, the potential of AI can clearly be seen in breakthroughs like self-driving cars, no-code platforms, and smart energy networks.Â
Here’s a list of 6 major areas, where AI will push the boundaries of what is possible, in 2022
Language modellingÂ
Language modelling makes it easier for machines to communicate with people in a language, which both the human and machine can understand. It can also turn human languages into computer code, capable of running applications and computer programs.
The release of GPT-4 by OpenAI (the most advanced language model ever created) is expected to advance language modelling by leaps and bounds. GPT-4 will be able to create and hold conversations indistinguishable from those spoken by a human, and also improve computer code creation.
Autonomous vehicles
AI practically represents the brain that will guide autonomous vehicles, including cars, boats, and even aircraft. Tesla claims that its cars will demonstrate full self-driving capabilities by 2022, although it’s unlikely that they will be ready for public use. Its competitors, including Waymo, Apple, GM, and Ford are also geared up to disrupt the self-driving vehicle market.
In 2022, Mayflower Autonomous Ship (the first autonomous ship), designed by IBM in collaboration with non-profit ProMare, will attempt to cross the Atlantic.Â
SEE ALSO: 4 façons dont l'intelligence artificielle transforme l'industrie manufacturière
AI in cybersecurity
According to the World Economic Forum, cybercrime poses a more significant risk to society than terrorism. As machines pervade our lives, every connected device you add to a network is inevitably a potential point-of-failure that an attacker could use against you. Since networks of connected devices are becoming more complex by the day, identifying those points of failure is proving to be extremely difficult.
Here’s where cybersecurity driven by AI comes to the rescue. By analyzing network traffic and detecting potentially suspicious patterns, it can alert users to a possible threat.Â
AIoT
AI and ML are rapidly being employed to make IoT devices and services smarter and more secure. According to Gartner, by 2022, over 80% of IoT initiatives in companies will use AI and ML.Â
Practical examples of AIoT include fitness and health trackers, heart rate monitoring apps, and AR/VR gadgets that employ AIoT, such as smartwatches, AR & VR goggles, and wireless earphones, are examples of wearables.
AIoT is also being utilized to make cities safer and easier to live in. Smart energy networks, smart street lighting, and smart public transit are just a few examples.
Evolution of Augmented Intelligence
In 2022, we will increasingly find ourselves working alongside machines that use smart and cognitive functionality to boost our own abilities and skills.Â
In marketing, AI is already being used to determine which leads are worth pursuing and the value of potential customers. In engineering AI is being leveraged to achieve predictive maintenance, allowing us to know ahead of time when machines will need servicing or repairing. In just about every field, AI will probably be used to improve efficiency.
AI in Healthcare
AI is revolutionizing the healthcare industry in ways previously unimagined. Thermometers based on ML to assist diagnosis and treatment, robotic surgical systems to conduct surgical procedures from afar, and virtualized nurse assistants to achieve a personalized patient experience are some of the ways in which AI is disrupting the healthcare sector.Â
Summing it up
AI is clearly helping companies across diverse industries to achieve better efficiency. In fact, the AI and machine learning industry are expected to expand at a CAGR of 44% to US$9 billion by 2022.Talk to the experts at Hakuna Matata to figure out a custom AI solution for your business, enhance automation and drive efficiency.Â
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