FORBES: The Top 5 Sectors Where AI is Poised to Make Huge Industrial Impacts in 2022

There’s no denying AI made immense progress in 2021. Moving into 2022, as the CEO of a global AI company creating industrial-grade solutions, it’s looking as though, while innovation will endure, critical advancements won’t necessarily be from the technology itself but more in the way it’s utilized and operationalized. Digitalization implementation is about to hit significant strides, particularly in major sectors with integral impacts on human lives. There’s no limit to what the future holds as AI and machine learning (ML) work their way into our world’s biggest industries.

 

 

 

AI will prove itself instrumental in the transformational phase confronting these sectors in 2022 and will lead the way when it comes to compelling approaches for elevating entire industries.

 

 

 

AI has already commenced digitalization efforts across the energy industry with promising prospects for results in 2022 that will look to more optimized operations with greater efficiency and sustainability. For example, AI companies are creating and implementing decision-support software within major energy players’ refineries designed to make timely, explainable recommendations that empower operators to close profitability gaps in real time, maximizing the efficiency of entire operations and resulting in increased sustainability as a critically important byproduct, considering regulations on the sector are only expected to expand.

 

When discussing the impact of AI and other digital solutions on the industry, according to McKinsey & Company, “Asset productivity increases of up to 20% are possible, and overall maintenance costs may be reduced by up to 10%.”

 

 

 

Another fitting use case that’s ramped up since Covid-19 took hold is AI for healthcare. From outbreak forecasting for dealing with insufficient supply of essential resources to streamlining patient care as the medical field experiences shortages unlike ever before, AI adoption initiated in previous years is set to solidify implementation strongholds across the industry in 2022.

 

AI can support healthcare’s struggle against the inefficient operations and inadequate visibility issues currently plaguing the sector at the point of patient care. Advanced approaches are going to make huge influences on the industry, providing more holistic insights into its most valuable data. As Diana Nole, EVP and GM of Healthcare at Nuance Communication, mentioned in a HIT Consultant Media article, “As healthcare organizations and researchers establish strong standards for the secure sharing of healthcare data, new collaborative AI projects are set to drive more informed care decisions.”

 

With AI and ML solutions making vast amounts of unstructured data more readily accessible to decision-makers, the results will be enhanced predictive analysis accuracy and streamlined administrative operations, as well as more cognizant procedure recommendations and patient screening practices. This paints a promising picture of an elevated, progressive industry approach to overall medical professional and patient experiences.

 

 

 

AI has been a saluted partner in aerospace for a long time. Several experts would probably even argue that space exploration is where some of the most advanced AI originated. NASA’s Curiosity rover has been employing AI to explore Mars for several years and, according to an article by Travis Bubenik for Courthouse News Service describing NASA’s imminent ExoMars mission in 2022, “While the space agency already uses AI to help its Curiosity rover navigate around Mars, the researchers described the way the technology will be used in the upcoming mission as a significant step toward an ultimate goal of having more autonomous probes explore farther reaches of the solar system.”

 

As years progress and AI/ML solutions become more innovative, it’s becoming clear that these technologies will be integral, permeable factors in future understandings of our universe.

 

 

 

While the current supply chain crisis disrupting our global economy isn’t forecasted to be solved for several years, AI should provide some much-needed relief in 2022. Continued digitalization transformation of supply chain data and extensive sensor analyses, alongside more streamlined process automation and verification, will all require human-readable AI recommendations and ML techniques that collaborate with decision-makers. New levels of visibility provided by advanced AI tools will enhance forecast-ability, easing currently inadequate remedial reactivity.

 

According to Adam James for ASCM Insights, “The technology-driven evolution to industry 5.0 — which involves a more collaborative approach, as well as partnerships between humans and robots — will have significant impacts on supply chain functions such as planning, demand management and fulfillment. As machines learn, improved insights will be discovered, leading to significant transformation, advancement and competitive advantage.”

 

 

 

Powerful AI solutions will work for the construction industry in overtime this year, digitalizing processes and providing invaluable insights across organizations. Predictive maintenance tools leveraging sensors and other functional data deliver optimization use cases that range from more streamlined documentation tracking to decision-maker support via optimal recommended remedial actions involving industrial equipment maintenance, lingering operational problems, and other complications around unexpected plan deviations. 2022 will find a fast-developing future for AI to enhance efficiency for entire construction processes.

 

According to research from MarketsAndMarkets, the company “Expects the global Artificial Intelligence (AI) in construction markets to grow from USD 407.2 million in 2018 to USD 1,831.0 million by 2023, at a Compound Annual Growth Rate (CAGR) of 35.1% during the forecast period.”

 

 

 

There are endless use cases for AI on the horizon across critical sectors: Efficiency and sustainability optimization in energy operations, patient screening and procedure recommendations in healthcare, Mars exploration in aerospace, industrial equipment maintenance in construction and even easement for the supply chain crisis — just to name a few. As AI has grown in functionality across the enterprise and more than proven itself with impressive results, multiple industry leaders have taken notice and worked to incorporate these technologies into their own sectors. The application of AI to various domains in 2022 marks only the beginning of the technology’s journey.

 

 

CHECK OUT THE FULL ARTICLE IN ACTION – HERE.