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In our recent newsletter, we talked about Marc Andreessen’s famous saying “Software is eating the world.”. Although one side of the industry is still looking for ways to digitize technology and adopt software in its operations, the other side of the industry that has already adopted software is very anxious about the development of Artificial Intelligence, and rightly so.

No one in the room really understood what Anderson meant. In fact, he himself did not expect that the same software industry would face the risk of being eaten up after only a decade. The reason is AI. AI is one of the most transformative technologies developed by mankind. According to Google CEO Sundar Pichai, AI will have a greater impact on the progress of human civilization than fire or electricity. Although this seems a bit exaggerated, the potential of AI can be clearly seen in breakthroughs such as autonomous vehicles, codeless platforms, and smart energy networks.

Driven by efficiency gains, organizations have now begun to use AI to automate and optimize the core processes of its business. For example, according to BenchSci‘s latest update, no less than 230 start-ups (last updated in June 2021) aim to automate the very expensive drug development process in the pharmaceutical industry. This is an astounding number given the timeline of AI adoption.

Similarly, AI startups in the transportation sector are creating value by optimizing transportation, thereby greatly reducing the number of empty or idle transportation. In addition, the process of software development itself will also be affected. AI-driven automatic code completion and generation tools, such as TypeSQL, TabNine and BAYOU, are being created for ready usage.

Companies are adopting AI at a faster rate to continue their battle against Covid-19. To help our customers and end-users accelerate and complete their digital transformation journey by leveraging AI solutions that fulfill their promises, we have put together trending AI use cases and innovations that will define 2022. The following are our findings.

AI and the Metaverse

Metaverse is the name of a unified persistent digital environment in which users can work and play together. This is a virtual world, just like the Internet, but emphasizes immersive experience, usually created by users themselves. Ever since Mark Zuckerberg talked about creating it by combining VR technology with the social foundation of Facebook platform, this concept has become a hot topic.

AI will undoubtedly become the key to the meta universe. It will help create an online environment that will make people feel welcome when they cultivate their creative impulses. We are also likely to be accustomed to sharing our Metaverse environment with AI creatures, which will help us complete the tasks we have to do there.

Low-code and No-code AI

A major obstacle to the adoption of AI-driven efficiency by many companies is the lack of skilled AI engineers who can create the necessary tools and algorithms. No-code and low-code solutions aim to overcome this problem by providing simple interfaces, which can theoretically be used to build increasingly complex AI systems. Just as web design and code-free UI tools now allow users to simply drag and drop graphic elements together to create web pages and other interactive systems, code-free AI systems will allow us to connect different, pre-made programs Together to create smart programs. Technologies such as natural language processing and language modeling mean that it will soon be possible to use only our voice or written instructions. All of these will play a key role in the continued “democratization” of AI and data technology.

AI in Healthcare

AI is revolutionizing the healthcare industry in unprecedented ways. Thermometers based on machine learning to assist in diagnosis and treatment, robotic surgery systems for remotely performing surgical procedures, and virtualized nurse assistants for personalized patient experience are some of the ways in which AI is disrupting the healthcare industry.

Intelligent AI

We know that AI can be used to create music, drama, art, video games and much more. In 2022, as new models such as GPT-4 and Google’s Brain redefine possible boundaries, we can expect more and more imaginative and capable electronic friends to provide more refined and seemingly “natural” creative output. Unlike the current situation, these creations are usually demonstrations or experiments showing the potential of AI, and we will increasingly see them being applied to daily creative tasks, such as writing headlines and designing for articles and newsletters Logos and infographics and much more – a few of these are already in circulation and have been adopted. 

In engineering, AI is used to achieve predictive maintenance, allowing us to know in advance when the machine needs to be repaired or repaired. In the field of marketing, AI has been used to determine which potential customers are worth pursuing and the value of potential customers. In almost every field, AI may be used to improve efficiency.

Self-driving Cars

AI actually represents the brain that guides self-driving cars, including cars, ships, and even airplanes. Tesla claims that its cars will demonstrate fully autonomous driving capabilities in 2022, although they are unlikely to be ready for public use. Its competitors, including Waymo, Apple, General Motors and Ford, are also ready to disrupt the self-driving car market. In 2022, the Mayflower Autonomous Ship (the first autonomous ship) designed by IBM and the non-profit organization ProMare will attempt to cross the Atlantic Ocean.

AI in Cyber Security

According to the World Economic Forum, cybercrime poses a greater risk to society than terrorism. As machines spread throughout our lives, every connected device you add to the network inevitably becomes a potential point of failure that an attacker can use against you. As the network connecting the devices is becoming more and more complex, it has proved extremely difficult to identify these points of failure. This is where AI-driven cybersecurity comes into play. By analysing network traffic and detecting potentially suspicious patterns, it can alert users to possible threats.


AI and Machine Learning are rapidly being used to make IoT devices and services smarter and safer. According to Gartner, by 2022, more than 80% of the company’s IoT plans will use AI and machine learning. AIoT is also used to make cities safer and easier to live in. Smart energy networks, smart streetlights, and smart public transportation are just a few examples.

AI is clearly helping companies in different industries to improve efficiency. Practical examples of AIoT include fitness and health trackers, heart rate monitoring applications, and AR/VR gadgets that use AIoT, such as smart watches, AR & VR goggles, and wireless headsets, all examples of wearable devices.

In fact, by 2022, the AI and machine learning industry is expected to grow to USD 9 billion at a compound annual growth rate of 44%. Talk to Pratiti’s experts to find customized AI solutions for your business to improve automation and efficiency. If you need help navigating emerging AI trends or implementing AI innovations, please contact our team today! We will collaborate with you to build a brighter, safer and more environmentally friendly future! Get in touch with one of the leading digital product development companies to learn more about how we can transform your business and processes.

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Nitin Tappe

After successful stint in a corporate role, Nitin is back to what he enjoys most – conceptualizing new software solutions to solve business problems. Nitin is a postgraduate from IIT, Mumbai, India and in his 24 years of career, has played key roles in building a desktop as well as enterprise solutions right from idealization to launch which are adopted by many Fortune 500 companies. As a Founder member of Pratiti Technologies, he is committed to applying his management learning as well as the passion for building new solutions to realize your innovation with certainty.

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