Top AI Trends for 2022: 10 Expert Insights on How AI Will Evolve Next Year – Toolbox

Emerging technologies, such as artificial intelligence and machine learning, will play a leading role in influencing operational efficiency and business decision-making in 2022. The reliance on these technologies is such that according to Gartner, the worldwide AI software market will reach $62 billion in 2022. Let’s hear from experts on ways AI will evolve in 2022 to enable new use cases for businesses of all sizes. 

Myles Gilsenan, the vice president of data, analytics, and AI at Apps Associates, believes that AI will continue to evolve and transform industries, businesses, and our day-to-day lives. “2022 is shaping up to be an important evolutionary year as a broad array of AI disciplines are becoming more mature and easier to build and deploy,” he said. 

To meet evolving customer needs and accelerate digital transformation, more industries will start leveraging AI in the coming days. Integrated with connected commercial vehicles, in-car sensors and modern health monitors, AI will create even more actionable data to create a safer world, opines Ryan Wilkinson, chief technology officer, IntelliShift. To understand how AI can be fully leveraged to meet business objectives in 2022, Toolbox asked technology leaders about how they think the technology will evolve in the new year. 

Here are the top 10 predictions on AI from the experts:

AI Will Transform Citizen Development With Low-Code Technology in 2022

Jean-François Gagné, head of AI product management and strategy, ServiceNow

Jean-François Gagné, head of AI product management and strategy, ServiceNow

Jean-François Gagné, head of AI product management and strategy, ServiceNow

“Enterprises are beginning to leverage out-of-the box foundation models as they begin to deploy AI in the enterprise, drastically increasing time-to-value for AI solutions surrounding language, vision, and more. AI will transform citizen development. AI advancements within low-code technology will enable everyone to become a citizen developer. Citizen developers will be able to input in plain English what the problem they are trying to solve is and conversational AI will be able to generate code.”

See More: Artificial Intelligence in Zero-Touch Provisioning: A Necessity for 5G Network Slicing

New Regulations and Restrictions Could Limit the Application of AI in Some Sectors

Omkar Kharkar, manager, data science and analytics, NTT DATA Services

Omkar Kharkar, manager, data science and analytics, NTT DATA Services

Omkar Kharkar, manager, data science and analytics, NTT DATA Services

“The regulatory aspects of AI involving trust and ethics will become a larger factor in the coming year. The EU continues to roll out regulations, and recently published a draft of more AI regulations. The EU has even gone as far as the possible prohibition of certain types and uses of AI. We expect to see our regulatory environment in the US continue to grow and evolve and see an increase in regulatory frameworks for AI and how it can be used in non-military sectors. Some of our more AI mature clients are already placing an emphasis on the types of “trusted AI practices” available for use both in the US and globally.”

See More: Artificial Intelligence, Hiring, and Biases: What Your Team Needs to Know

AI Will Help Save Costs and Help Businesses Overcome the Skills Shortage

Tom Shea, CEO and founder, OneStream Software

Tom Shea, CEO and founder, OneStream Software

Tom Shea, CEO and founder, OneStream Software
“To get more value from artificial intelligence (AI), organizations will prioritize the democratization of the technology. Data scientists are expensive and difficult to find, so organizations are looking for alternative ways to generate value from their data while resources are tight. Companies that implement built-in Automated Artificial Intelligence (AutoAI) tools will enable analysts with varying levels of experience to analyze data streams, quickly generate ML models, and find actionable insights like a data scientist would. This is helping companies increase revenues, optimize costs, and enhance operations. Moving forward, I expect others will also start to jump on this trend.”

See More: Artificial Intelligence: To Build or Not To Build?

Organizations Will Need Critical IT Talent To Initiate AI Projects in 2022

Tom Shea, CEO and founder, OneStream Software

Tom Shea, CEO and founder, OneStream Software

Bernd Ruecker, co-founder and chief technologist, Camunda

“Processes are everywhere, and most of them can be automated to increase productivity. However, automation as a business initiative can be very overwhelming. IT leaders should start small and begin with a smaller lighthouse project to allow organizations to scale efforts. This shift requires great IT talent, which a lot of companies are currently lacking due to the talent shortage. Leaders must prioritize recruiting and talent acquisition efforts, but also establish a culture that lets their talent thrive or they risk falling behind.”

See More: How to Measure the ROI for Artificial Intelligence

Human Augmentation Will Play a Critical Role in AI Next Year

Hiro Tien, vice president, Viralspace, Smartly.io 

Hiro Tien, vice president, Viralspace, Smartly.io 

Hiro Tien, vice president, Viralspace, Smartly.io 

“There is a common misconception that AI is already there in terms of innovation and effectiveness, including its application in online advertising. And while it is certainly advanced and perhaps 95% of the way there, the human touch is still required, even if just for that last 5%. We must take a step back and remember the intent of AI, which is to give us faster and more accurate decision-making. But there must always be someone behind the scenes making the final call, in addition to training machines in the first place. Without this, we see the unintended outcomes of AI when things go ugly quickly. It could be as minor as an irrelevant ad served, or as harmful as perpetuating biases or recommending insensitive creative features and content. To be done effectively and responsibly though, human augmentation must play a critical role.”

Healthcare Industry Will Leverage AI-Driven Technology in 2022 and Beyond

Sanjeev Agrawal, president and chief operating officer, LeanTaaS

Sanjeev Agrawal, president and chief operating officer, LeanTaaS

Sanjeev Agrawal, president and chief operating officer, LeanTaaS

“As other industries continue to leverage the power of AI and advanced analytics to optimize their capacity, healthcare will continue to explore the possibilities to achieve the same outcomes. Health systems need to be sure they are investing in the right technology – they have many options now and need painkillers, not vitamins. As this is a significant investment, health system decision makers must be sure AI-driven technology addresses the roots of their problems, while minimizing the lift on users and IT staff in adoption and ensuring this investment isn’t just trendy or buzzworthy. At the same time, health systems must recognize the value of AI and that adopting new technology can be truly worth the investment. For example, AI and ML can be used extremely effectively to optimize the utilization of operating rooms, inpatient beds, and infusion chairs.”

See More: How is Artificial Intelligence Impacting Healthcare?

AI Automation Will Depend on Having Access to Clean Data Next Year

Ksenia Palke, head of AI, Airspace

Ksenia Palke, head of AI, Airspace

Ksenia Palke, head of AI, Airspace

“AI impact in 2022 will depend on building consumer trust, proper adoptions, and sufficient historic data. Trust will play a critical role in the usage of AI to automate operations, as a suspicious user is unable to fully utilize the AI solutions. Knowing when the benefits of AI will outweigh the cost and time of its development, will become crucial to decide on when and whether to adopt it. Finally, AI automation will depend on having access to large amounts of relevant and clean data, as the data has always been (and will continue to be) the key to AI.”

AI in Cybersecurity Will Gain Momentum to Detect Anomalies in 2022

Myles Gilsenan, vice president of data, analytics, and AI, Apps Associates

Myles Gilsenan, vice president of data, analytics, and AI, Apps Associates

Myles Gilsenan, vice president of data, analytics, and AI, Apps Associates

“Safeguarding networks, critical infrastructure, data, and other valuable digital assets requires much more than can be achieved with humans or with traditional monitoring methods. AI provides valuable capabilities related to anomaly detection and pattern recognition and can even stay up to date on the latest threats using natural language processing to scrape through news and articles on cyber threats.”

See More: How Has AI And IoT Changed Human Work Experiences In Day To Day Life

Without the Right Data, AI Projects Will Fail To Meet Expectations in 2022

Mike Connell, COO and chief digital transformation officer, Enthought

Mike Connell, COO and chief digital transformation officer, Enthought

Mike Connell, COO and chief digital transformation officer, Enthought

“As a result of widespread misconceptions about artificial intelligence and machine learning, along with poor planning and execution, more than 90% of industrial AI/ML projects involving science will fail to achieve their business objectives in 2022 and will consequently generate a negative ROI. Why? Many people seem to believe that ML is a magic box that you pour your data into, and it will automatically produce novel and valuable business insights. This leads them to initiate projects with teams that lack the requisite skills, that try to build models with data insufficient in quantity and/or quality and approach the task bottom-up as a fishing expedition, conducting ad hoc exploration of the data to see what signal they can find, after which they will try to figure out a way to make that signal commercially valuable to justify the investment. Any one of these attributes can doom a project, and many AI/ML projects exhibit all three.”

See More: Can AI in Recruitment Transform Hiring in a Post-Pandemic World? Q&A With DaXtra Technologies

AI Will Become Ingrained in Transport and Road Safety Projects in 2022

Ryan Wilkinson, chief technology officer, IntelliShift

Ryan Wilkinson, chief technology officer, IntelliShift

Ryan Wilkinson, chief technology officer, IntelliShift

“In 2022 and beyond, AI will become more ingrained in transportation and road safety, with AI-enabled cameras and sensors built into both commercial and personal vehicles to prevent distracted, drowsy or impaired driving. This trend will escalate even more now with the passing of the infrastructure bill, which includes measures around incorporating anti-drunk driving technology in all new cars. In the fleet industry, we will also continue to see a rise in the technology used in commercial vehicles to make trucking a safer and more appealing career, which is crucial amid the current driver shortage further disrupting supply chain operations.”

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