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Pluralsight 2022 Predictions: The Future of AI and Machine Learning

vmblog predictions 2022 

Industry executives and experts share their predictions for 2022.  Read them in this 14th annual VMblog.com series exclusive.

The Future of AI and Machine Learning

By Jordan Morrow, Head of Data Skills at Pluralsight

In the past several years, artificial intelligence (AI) and machine learning (ML) technologies have helped accelerate digital transformations for industries around the world. As a refresher, AI/ML are programs that use large volumes of data to mimic human cognition. The decision-making capabilities of AI/ML have allowed businesses to automate complex processes, allowing for faster and easier value delivery to customers.

With all of the benefits of AI/ML come some challenges and risks as well. Skeptics of AI/ML have long criticized the propensity for these technologies to inject bias into their computing algorithms and to cannibalize jobs for us humans. Despite these risks, the importance of AI/ML will only continue to grow in the coming years. Here's how we will see AI/ML develop in 2022.

AI/ML Will Both Replace and Create Jobs

There is some validity to the concern that AI/ML can eliminate certain jobs that would otherwise be done by humans. A Gartner study showed that by 2020, 1.8 million jobs became automated. However, by the same token, new jobs created by the AI/ML industry totaled 2.3 million in that timeframe.

We are in the midst of the fourth industrial revolution. With each industrial revolution that occurs, jobs are eliminated, and that trend will continue. This can sometimes be a good thing. Pluralsight author Paolo Perrotta said "If anything, I see AI as liberating us from the jobs that are dangerous or unfulfilling... technology tends to do that." Indeed, many of the jobs that will be eliminated are high-risk manufacturing jobs and transportation delivery service jobs.

In my view, we need to focus not on the jobs being lost, but on the positive outcome that more jobs will be created then eliminated. With a massive influx of AI/ML related jobs in 2022, upskilling in these areas to keep up with market demand will also be more important than ever.

Prediction Models Will Have Less Bias

There is a perception that the precise way in which AI/ML programs make decisions is virtually unknowable, allowing bias in decision making to occur. According to Pluralsight author Jerry Kurata, this will become less of an issue in 2022.

"As part of the Explainable AI movement, we are seeing tools that crack open the black box of Machine Learning models, allowing users to understand why a model in an AI system made a certain prediction. If we determine that model made a biased prediction, we can work to resolve the issues," said Kurata.

In 2022, we will continue to see advancements against bias as regulations are passed and developed. Growing data literacy in many organizations will help quelch the bias in prediction models. As more and more people have a sounder understanding of the capabilities of AI/ML, it will be easier for people to weed out the biases and help make predictions that are more objective.

It's also important to note that bias doesn't magically appear in AI/ML algorithms - it's subtly woven in by the humans who feed the programs. According to Perrotta, "Eventually more of us will see that we cannot build inclusive AI if we don't learn to be inclusive ourselves. It's a long process to face our own social shortcomings, but I do see progress."

AI/ML Will Become More Widely Adopted

In 2022, there will be advancements to nearly every aspect of AI/ML technology. AI/ML will grow in sophistication, allowing it to run on both more powerful computing platforms and also on smaller, more low-cost computing devices.

According to Kurata, the ability for AI/ML to run on these smaller platforms is particularly important. "Tiny ML will bring ML to not just millions, but potentially billions of devices, and into tasks and settings that we might not typically associate with AI/ML," said Kurata.

This brings us to what I see as being the most significant advancement of AI/ML in 2022 - a larger scale adoption of these technologies than we have seen so far. We will see more automation in our day-to-day lives. Through it, we can expect the augmentation of our lives to be greater. From smarter cars to smarter devices, these things will start to become more and more ubiquitous to our lives.

With AI and advancements, we will also see a continuation of advancements in the learning and development space. The jobs of the future are not the jobs of today, and the workforce of 2022 needs to advance quickly to keep up with it all.

It's clear that AI/ML are here to stay, so a deeper understanding and appreciation of the value these technologies bring to our lives will be crucial in 2022. Organizations who have been early adopters of these technologies will reap the benefits of a quicker workflow and more "manpower" in a time where the workforce has greatly receded. Those organizations who have yet to delve into AI/ML are already lagging.

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ABOUT THE AUTHOR

Jordan Morrow 

Jordan Morrow is known as the "Godfather of Data Literacy", having helped pioneer the field by building one of the world's first data literacy programs and driving thought leadership. Jordan is Head of Data Skills at Pluralsight and a global trailblazer in the world of data literacy, building the world's first full scale data literacy program. He served as the Chair of the Advisory Board for The Data Literacy Project, has spoken at numerous conferences around the world and is an active voice in the data and analytics community. He has also helped companies and organizations around the world, including the United Nations, build and understand data literacy.

When not found within his work of Data, Jordan is happily married with 5 kids.  Jordan is also an avid trail runner and loves fitness, entering and racing in multiple ultra-marathons and having fun adventures in the mountains.  Jordan loves to read, often reading (or using Audible) to go through multiple books at a time.

Published Thursday, January 20, 2022 7:34 AM by David Marshall
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