5 Chief Artificial Intelligence (AI) Industry Trends in 2021-2022 You Should Know

Table of Contents

  1. Check Out Our List of These 5 Trends
  2. How Can You Implement These AI Trends in Your Business?
  3. Can We Accurately Predict What Will Work in the AI Niche in 2022?
  4. FAQs

Artificial Intelligence (AI) is the next greatest invention after the wheel and the lever. AI is used to automate processors, handle large data amounts, and maintain security.

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So, when major companies started handling lots of data and facing cybersecurity issues, it was no surprise that AI also tagged along. Businesses that are currently employing AI include Google, Twitter, Spotify, Uber, and many more.

But how does one go about utilizing these technologies in their own business?

Here's a list of the 5 best Artificial Intelligence trends in 2022 and how to implement them effectively in your company.

Trend # 1: AI in Cloud Computing

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Perhaps the most important event during the turn of the century was the marriage of AI and computing. Statista estimates that the global market value of Artificial Intelligence will surpass $89 billion in a few years. And a large portion of that value is contributed by cloud computing.

AI in cloud computing will revolutionize the IT industry. One of the most significant applications of AI in cloud computing is process automation. Instead of using IT experts that spend hours maintaining a cloud, AI cloud computing will automate that task. So, human resources will become a lot more efficient, with the employees' true potential becoming realized.

Trend # 2: Better Cybersecurity

Security calls for astute individuals who can vigilantly monitor systems and network traffic. However, with Artificial Intelligence trends in the picture, none of that is needed. As of 2021, more and more companies are mobilizing AI to handle their cybersecurity management.

Common tasks for intelligent cybersecurity include day-to-day security management and security auditing. One of the most significant developments is threat-spotting. Through this, security threats are detected by the system well before the threat is predicted to occur.

Trend # 3: Improvements in Data Quality Solutions

In 2022, AI will certainly change the world as we know it. But the year will also see developments in AI itself. A significant example of this is in the rapid progress of data quality solution improvement.

Right now, breakthroughs in data quality solution improvement include data annotation tools. Additionally, newer technologies are now implementing data warehouses. In a nutshell, these allow for efficient storage of big data dumps and offer easy scanning. They are the highlights of the leading AI trends in 2022.

Trend # 4: Implementation of AIOps and MLOps

In this day and age of growing datasets and complex algorithms, the need for an automated data management system is dire. And that's where AIOps (Artificial Intelligence Operations) comes in. AIOps are the top Artificial Intelligence trends in the near future. They combine the complexity of big data with the convenience of automation.

Perhaps the most important and widely acknowledged use of AIOps is in causality determination. Simply put, it allows you to determine a cause and predict an effect.

Trend # 5: Ethics and AI

Computers don't discriminate. In a world where companies constantly strive to maintain diversity and inclusion, AI is leading the way. The algorithm works indiscriminately to recruit people based on talents and specified diversity criteria. As a result, they are the chief Artificial Intelligence trends for HR companies.

Implementing AI industry trends in your business is never easy. For one thing, a highly qualified team of AI developers needs to be present onboard. In addition to that, employees must be trained on how to use the AI software properly.

Luckily for you, there are ways to make AI implementation easier. And what better way to learn than by looking at actual companies putting actual AI to practice?

Example #1: Twitter

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Twitter is perhaps the best example of a highly competitive social media app employing AI. To be more specific, it is a great example of using AI to circumvent cybersecurity issues and to create a safe space for all.

Instead of employing real people, since 2017, Twitter has been using algorithms. The main purpose of these algorithms is to take down objectionable material. And that's not where it ends. Twitter has recently started using AI in photo cropping options to detect the object and the best suitable crop.

Example #2: Uber

Uber is another large consumer of AI for cybersecurity's sake. The taxi service giant utilizes smart algorithms to detect frauds, prevent and evaluate safety risks, and check user records. Uber is also one of the very few companies to implement AI in its customer service department. When you call their customer care number, an AI reroutes you to the relevant authority.

Example #3: Google

Perhaps no other company has been at the forefront of AI technology as much as Google has. It learned how to implement AI trends like voice recognition and search suggestions in everyday Google products. But Google also has a few other technological ventures far from consumer use.

One such venture is the development of autonomous vehicles. Such vehicles scan the road ahead, make smart decisions, and even plan routes based on traffic.

Example #4: Spotify

Surprised to see Spotify on the list? Well, it's a known fact that many video and music streaming services utilize AI. And what for? On the surface, it all may seem simple. But even something as simple as a custom Spotify playlist can employ hundreds of algorithms. Although not as "out there" as other AI trends in 2021, the predictive analysis is spot-on for a regular music streaming service.

Example #5: Record by Under Armor

Record by Under Armor is the perfect example of a data management AI. It's an app from Under Armor that lets you track your fitness, including fitness goals, diet plan, and sleep data. Under Armor uses AI to sort the data into the relevant groups and categorize each by the unique label.

The company follows other trends in Artificial Intelligence technologies, such as predictive analysis. The app recommends diet and exercise plans based on your goals and objectives.

Can We Accurately Predict What Will Work in the AI Niche in 2022?

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AI is slowly taking over the world but in a good way. So, where do I see it in 2022? Will these trends in Artificial Intelligence still be a thing in 2022?

AI is an ever-changing field. What's niche today will be obsolete tomorrow. And that's not to say that that's a bad thing. But for companies who have spent countless hours perfecting AI, newer technology will tip everything over.

Google's CEO, Sundar Pichai, has high hopes for AI in 2022. He predicts that AI will have become so advanced that its advent would be even more important than fire or electricity. And countless other AI and ML experts agree on the same thing – that you never know where AI will take you.

With that being said, it's safe to assume that recent trends in Artificial Intelligence will still be in focus by 2022. But, of course, unless better technology is devised or the previous technology is declared flawed. But until that happens, I'll leave the predicting to the AI.

FAQs:

One of the best top AI trends expected in 2022 is the use of AI in cloud computing. Think of it, and you can use the power of AI to perfect cloud networks and make database management a lot quicker. Aside from that, the cybersecurity department is also seeing major developments.

First, decide on what type of AI you want to implement. What will it do? Is there a more accessible alternative? Then, acquire the AI resources as well as experts who know how to work their way around. Next, engage in AI and Machine Learning conferences and talks. Finally, stay positive and always lead the team yourself.

Some of the more recent AI trends include risk management and causality determination. By doing so, AI can identify the risks and security issues and prevent them in the future. Other than that, trends in talent recruitment and data sorting are quite popular.

What companies are using AI, and how?

Google is by far the biggest consumer of AI technologies. It uses AI to generate smart search suggestions, organize data, and develop autonomous vehicles.

Twitter is the next bigger giant, employing AI algorithms to change how people engage with the site. Uber is another great example, using AI to solve its riders' cybersecurity issues and safety problems.

Final Thoughts

Artificial Intelligence is everywhere, whether on a piece of hardware or an app on your screen. Keeping up with AI trends enables your company to do more when faced with adversity. And for that, you may have to attend various talks and seminars. For this purpose, the ConferenceСast is always by your side.

We are an AI and Machine Learning video talks site that allows you to view whatever you want, whenever you want it. Furthermore, all of our sessions are pre-recorded, meaning you don't have to spend hours of your time listening to one boring lecture.

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