By Arpit GautamJan 2022
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5 Biggest Artificial Intelligence Trends in 2022

In the past few years, Artificial Intelligence has become a crucial part of many small as well as large organizations. Ai witnessed massive advancements and is being readily adopted across various industries. So, what are some exciting developments or Biggest Ai Trends of 2022 that you should watch out for? Read on to find out!

5 Exciting Artificial Intelligence Trends in 2022

1. Ai in Cybersecurity

One of the most talked about things in the IT industry is the menace of cybercrime.

Be it individuals or organizations, everyone wants their data to be safe and secure.But continued malware/virus attacks on various kinds of devices owned byboth individuals and organizations has prompted even the World Economic Forum to identify cybercrimeas a critical threat.

With the increased use of machines for many day-to-day tasks, the potential risk of cybercrime will be high. Why so?

If you add more devices to a network, you will need to integrate additional security protocols to ensure that the network is immune to cyber-attacks. If you don’t then this expansion of networks will create a failure point which the malware/virus attacks can target to gain access to crucial data and misuse it.

In addition to that, current networks are highly complex and advancements in technology are making them more sophisticated.

This is where Artificial Intelligence can address Cybersecurity issues.

Ai can be leveraged to seamlessly identify anomalies in network traffic patterns with the help of smart algorithms. It can then report the same to concerned authorities. Although, the applications of Ai in Cybersecurity are in a nascent stage, expect this domain to witness major developments in 2022.

2. Using Ai to Augment Workforce

You must’ve seen in most Ai-focused movies – Ai takes over the world and renders the human workforce useless. Although movies take the concept a bit too far, the fear is that Ai will eventually phase out the need for the human workforce.

However, that is not true. Why?

More and more companies are leveraging machines to prepare data and use Ai to analyze and extract insights out of it. This means humans will be required to make use of the insights for action plans and other important project works.

What does this point to? Humans will be required to work hand-in-hand with such innovative technologies. Technology cannot do everything on its own!

How does this impact the human workforce?

  • They will be encouraged to improve their skills instead of fearing that Ai will eventually takeover.
  • Workforces will leverage improved skills to obtain an enhanced cognitive approach.
  • Here are some applications of Ai that are augmenting the workforce:
  • Marketing – With the help of Ai, Marketing teams are able to intelligently analyze leads and focus on those ones that will convert instead of wasting the time of the entire number of leads.
  • Engineering Teams – They are leveraging Ai to identify and conduct preventive maintenance activities.

3. Low-code & no-code Ai

Currently, organizations are facing a dearth of skilled Ai professionals/engineers who can help them adopt Ai into various business processes.

Without such skilled personnel, it would be difficult to develop the required Ai tools and algorithms.

But, with the introduction of low-code/no-code Ai platforms, this challenge can be easily addressed. How?

No-code & Low-code Ai Platforms usually come with simple and easy-to-use interfaces. As the names imply, you need not write long lines of code or you may not have to write a single line of code to develop algorithms on these kinds of platforms.

Instead, you leverage the drag and drop builder to add customized Ai tools/algorithms to quickly build a sophisticated Ai solution for your organization. Sometimes, it might take just minutes to build a full-fledged Ai solution that can help you to streamline and accelerate your business process.

Due to such interesting aspects, No-Code and Low-Code Platforms deserve to be on the list of top Ai Trends 2022.

4. Ai-driven Autonomous Vehicles

You must’ve already seen a Teslazooming around on highways without the interference of a driver. Well, that’s the beauty of Ai in Automobiles.

Although, there are a few complaints against such software because they are not 100% reliable, in 2022, expect to see massive improvements in Ai technologies, software and algorithms to ensure a safer and more reliable ride for passengers.

There are many companies that are already developing driverless cars. In these Ai algorithms will take over the role of a driver leaving passengers worry-free. In the coming months, you will most likely come across such vehicles as concepts in major automobile events with further advancements making it to production.

5. Focus on Ai Ethics

Many private organizations are powering the current crop of Ai advancements. However, right now there is no proper oversight by government on Ai. This brought forth the debate on ethics of responsible Ai.
That’s why in 2022, we will most likely see initiatives not just from local Ai firms but global partnerships on how to use Ai to tackle global issues like:
• Climate change
• Diversity
• Inclusion
But for this to happen, organizations need to realize the need for responsible technology and that will happen in 2022. Issues like Data Transparency and Fairness of Algorithms are something that will most likely be addressed as Ai adoption picks up pace in the days to come.

These are a few exciting Artificial Intelligence Trends that you should certainly watch out for in 2022.

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