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Top 6 Artificial Intelligence Trends in 2022

What are we talking about in this article?

Introduction

Artificial Intelligence has taken the world by storm since its creation, every day we hear developing news about state-of-the-art uses and AI business applications in every single corner of the market. You will be hard press to find an industry not employing at least some form of AI to improve some of their areas or departments. From finance, to project management, AI-powered tools and technologies seem to be here to stay.

Artificial intelligence has taken even more pronounced importance in the wake of the Covid-19 pandemic. Industries that were doubtful in the past about adopting AI and machine learning were hard-pressed to adapt and include new technologies or face going out of business. They are not alone! Experts in the field predict an exponential rise in Artificial Intelligence and machine learning by 2022, they expect that these industries will grow at a 44% of CAGR to USD $9 billion.

The AI industry has reached a level of maturity, and the possibilities it provides are almost dreamlike, and while well-versed and informed individuals in the subject already know, some of the opportunities can truly solve big issues and problems. Let’s take a look at what are the AI trends to look for in 2022. 

Project Profitability

1. Natural Language Processing 

There’s no room for doubt, Natural Language Processing has become one of the most widely used NLP in the realm of AI tech. It enables computers to understand human speech and it lowers the necessity to interact via text with a system or type to engage a chatbot. Natural Language Processing can empower devices and allow them to transform regular talk into codes that can effectively run applications and programs.

What does this actually mean for the daily life of common folk?

NPL has been the force of nature behind developing language-related tech, this type of AI is what allowed the creation and improvement of voice assistants, and online or digital translators. These may seem superfluous or unimpressive for some, but the possibilities they present will only grow in the coming years, like better voice assistance for people with disabilities. 

Another interesting idea to look forward to is the opportunity NLP presents in relation to gaining a better understanding of dead languages. Since NLP can “read” written script, it can be an enormous initiative for deciphering obscure languages for which we know next to nothing. The biggest problems linguists encounter are that: 1) Some languages don’t separate scripts into distinct words with spacing, and 2) They don’t know what is the closest language. Just last year a group of MIT researchers claimed to have developed a system that can understand the phonetic system of a lost language and determine the closest known tongue.

Let’s hope that in 2022 NLP continues to evolve and better understand the ambiguities and inflections of human language models, as well as gain a deeper insight (and data sets) from interactions. The even better news? NLP models might soon be a low-code affair, easing natural language processing for more people. Another thing to keep an eye out for is the rising trend of social media monitoring by brands and companies, with the goal of identifying areas that can be improved and gaining real-time customer analytics. 

 2. Conversational AI Systems to Become More Advanced 

Chatbot solutions have seen a rise in popularity these past years, they are AI-powered virtual assistance that can carry natural conversations within rule-based operations. The reach these “bots” have is limited but very useful. They can respond to queries, reset passwords, solve easy problems, and re-route clients to where they need to go. They greatly reduce the operational costs of businesses by enormous margins. 

They are a great tool for reducing waiting times for simple queries which would otherwise flood actual customer support agents. Leaving harder and complex cases to representatives, and avoiding their oversaturation with mundane and simple cases, allowing them to better use their capacities and potentially lowering complaints de to long waiting times.

Another great use for conversational AI chatbots is their ability to allow for scaling without great amounts of investment. The amounts of data they gather can also be a great tool for evaluating and evolving the current conversational marketing strategy. According to Comm100, bots are able to carry a conversation from start to finish around 68% of the time. These bots are the most used AI tech in enterprises, and it is expected that by 2025-2027 the adoption rate of these tools will double, according to Forbes.

The challenge for the years to come is developing this technology to answer more complex queries and to carry more advanced tasks. The more obvious needs are to better integrate chatbots into the preexisting platform, granting them a more personalized voice in their approach with customers. What businesses will be looking for is a no-code approach, so their IT departments are not swamped, and every department can manage its own project regarding this issue. 

3. Autonomous vehicles

Another area that is really exciting for logistics and operational purposes is AI-driven vehicles. We have a very slight glimpse of what these can mean for businesses in the form of what Tesla has been developing. The technology is not quite there yet, but we can very realistically dream about a future with cars, aircraft, and ships with an AI brain.

The opportunities this could provide are very optimistic, it can empower companies to deliver more affordable travel plans, and some people expect it could even reduce the rate of road accidents. AI-driven cars come with an inbuilt system that can foresee possible obstacles and prevent crashes, which is a hopeful scenario if we take into account the over 1.3 million people who die due to road accidents. For this to happen, AI deep learning still has a long way to go, mainly in the speed department. Although Tesla confirmed that self-driving cars will be available around 2022, the chances of them being available for commercial consumption is laughable. And the company’s recent grand scale recall does not paint a favorable framework.

On the other hand, using AI in water vehicles is a more concrete and possible scenario, with the soon-to-sail Mayflower Autonomous Ship (MAS) that carries an IBM-developed artificial intelligence component. The goal for the ship is to cross the Atlantic. You should keep a close look at Waymo, Apple, GM, and Ford, companies that are also looking to win the race to put the first Self-Driven cars in the market.

Project Management

4. AI in Cybersecurity 

Cybersecurity is an increasingly vital concern for everyone, from simple internet users to healthcare providers, large businesses, and governments. The sheer volume of cybercrimes is astonishing. The monthly reports in 2021 showed that ransomware transactions were around $102.3 million (Yes, that is a monthly statistic). Technology is becoming an ever-present factor in every aspect of a person’s life. And with this rising tide, there are more and more people that don’t know how to correctly protect their data against cyber attacks.

The worrisome state of this issue is that cyberterrorists are not only targeting big corporations, but also regular individuals. The technique is pretty straightforward: They gain access to a person’s regular computer and lockout their personal files. These may include sensitive photos, tax, and insurance information, or work-related documents. They require a payment in the form of cryptocurrencies, which are untraceable, to liberate the taken files. The monetary requests are just low enough for people to be able to pay them.

The security lowers as more devices are interconnected, and with the incorporation of smart houses to the equation, linked by Amazon’s Alexa, things are only getting more and more connected, which increases the risk of an attack. Regarding the shape of our daily lives, the number of devices and complex networks will only increase. So what can be done?

Here is where AI and Machine learning trends come into play, they are the key to dismantling this problem and actually finding the people responsible for these attacks. AI and ML can identify digital patterns, predict trends and find anomalies. It is possible to develop smart algorithms that can seek out suspicious activities and neutralize them. There can even be automated AI security systems that learn as they neutralize threats. A piece of technology to keep an eye out for in these scenarios is Blockchain.

Blockchain is the main technology behind cryptocurrencies, it consists of a chain of modules that have independent and constantly changing algorithms. If a segment of a blockchain link is breached, then it is possible to gather information about it, while keeping the data safe. Since it is a very secure technology, it has been selected as a possible way of increasing digital security in the years to come. 

5. AI in creativity

It is pretty common knowledge that AI can be used to create a myriad of objects, and it is possible to even create AI that feeds on existing pieces of art and generate something new. AI is being used nowadays to help generate a lot of creative products, like music, plays, poetry, plastic art, and even video games. 

For this coming year, however, we can be expecting new trends and models that can create even more complex and complex things. Look out for Google’s Brain and GPT-4. This development can redefine the current limit of AI in creativity, creating more elaborate pieces that can seem more natural and imaginative.

Another aspect of AI in creativity that can simplify tasks in our daily lives will be the creation of headlines in articles and news outputs, adding infographics and displays of relevant data. Creativity is a primordial human quality, and it requires a great deal of skill and education. But machines can help with some aspects of the work, simplifying some creative tasks, or even making different spaces available.

Virtual worlds are nothing new, but the transformative technology possibilities have greatly developed in recent years. We must see if the Metaverse of NFTs really are the breakthroughs they are said to be, or if they are simply stepping stones in the digital transformation we are witnessing. 

6. Evolution of Augmented Intelligence

Augmented intelligence is one of the most popular emerging trends in the AI development field. It can be summed up in a simple way, it is a mixture of the powerful decision-making ability natural to humans and the technological efficiency of machines. What does this mean? It means it can boost rational performances, it means, it can augment the workforce. This includes robotic process automation (RPA), but it goes beyond that AI solution. 

This is maybe one of the most prized advancements of AI technologies in the business sector. It will not erase the need for specialized talent, highly educated employees, or experienced executives. It will simplify some of the burdens they carry. 

For example, a business uses a project management system that collects big data about internal processes and projects carried out. With this data, a powerful AI can begin to develop reports that are pertinent to business decision-making and even practice business forecasting. Without the need for numerous data science teams, since the algorithms are performing themselves the data analytics. It can add up the information and select which is the most valuable client, depending on several performative and contextual axis. It can empower C-Levels to make quick analyses at a simple click.  

Resource Management

Conclusion

The rise of demand for these technologies to be developed is not correlated with the amount of talent and skilled certified employees available, for now. But there is a silver lining, businesses don’t need to have a large pool of highly trained IT engineers in order to reap the benefits of these developing technologies. There are several no-code or low-code AI with simplified interfaces that can be used as “building blocks” for more complex algorithms.

These advancements, however, may not be enough. It is possible that providing AI training will become a staple of successful businesses and profitable companies. It is easy to say that the demand for AI education will increase in this coming year, and the quality of services, products, and processes will be dependant upon it.

The most successful companies will require a solid talent pool, business intelligence, and a streamlined operation to remain at the top. At COR we are sure we can make this shift in technologies an easy endeavor. Our AI-powered, all-in-one solution can help businesses take control of their operations, promote automation of mundane tasks, and reclaim the highest possible profitability rates. Good margins are necessary for investing in the future of the business: for training employees, for taking action in their specialized industry or market, for making a bet on the future of the operation. At COR we can help you achieve the best possible results while taking care of the talent and paving the way for a better tomorrow.

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