Emerging technologies, such as artificial intelligence (AI) and machine learning, will play a leading role in influencing operational efficiency and business decision-making in 2023. The reliance on these technologies is such that according to GartnerOpens a new window , the worldwide AI software market will reach $62 billion in 2022. In fact in a poll by SpiceworksOpens a new window , 42% of tech professionals attested that artificial intelligence will be the biggest technology trend for 2022. Let’s hear from experts on ways AI will evolve in 2023 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. “2023 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.Â
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 2023, Spiceworks asked technology leaders about how they think the technology will evolve in the new year.Â
Here are the top 15 predictions on artificial intelligence (AI) from the experts:
1. AI Will Transform Citizen Development With Low-Code Technology in 2023
Jean-François GagnéOpens a new window , 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 accelerating 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.â€
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2. Companies Will Adopt AI and Automation to Supplement Human Talent
Kayla Williams, CISO, Devo
“Due to the expanding cyber talent shortage, in the coming year organizations will adopt more AI and automation elements within the SOC. Having AI to supplement human talent – e.g., flagging alerts that are false positives to avoid the need to investigate manually – will bring much needed relief to the overworked analysts and empower them to focus on the high-risk items.â€
3. New Regulations and Restrictions Could Limit the Application of AI in Some Sectors
Omkar KharkarOpens a new window , 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. 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.â€
See More: Artificial Intelligence, Hiring, and Biases: What Your Team Needs to Know
4. AI Projects Will Be Human-Centric in 2023
Dr. Vishal Sikka, CEO and founder of VianaiOpens a new window
“In 2023, more will recognize that too many platforms aren’t designed for humans, to build off of their capabilities. More and more systems will be designed to amplify human judgment — to aid people and encourage AI symbiosis, rather than seeking to have AI replace the user. Companies will increasingly introduce the human element to make sure AI models are monitored accordingly. When humans are involved from the beginning with building, training, and monitoring AI and ML models, they will point the models to be more precise and address drift and risk before they become dangerous.â€
See More: Artificial Intelligence: To Build or Not To Build?
5. Organizations Will Need Critical IT Talent To Initiate AI Projects in 2023
Bernd RueckerOpens a new window , co-founder and chief technologist, Camunda
“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.â€
6. AI Will Help Save Costs and Help Businesses Overcome the Skills Shortage
Tom SheaOpens a new window , CEO and founder, OneStream Software
“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.â€
See More: How to Measure the ROI for Artificial Intelligence
7. Businesses Will Focus on Removing Bias in AI in 2023
Krishnaram Kenthapadi, chief scientist, Fiddler
“Most companies lack visibility into the data that their AI models are built on. The rise in ethical concerns also grows as generative AI and large language models gain more prominence. To successfully leverage AI and ML in 2023, business leaders must focus on demystifying algorithms and protecting individuals from bias in AI by monitoring models and making them easy for everyone to understand, interpret, and leverage.â€
8. Human Augmentation Will Play a Critical Role in AI Next Year
Hiro TienOpens a new window , vice president, Viralspace, Smartly.ioÂ
“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.â€
9. Companies Will Leverage AI to Shed Some Light on Dark Data
Scott Francis, technology evangelist, PFU America
“The lack of insight caused by the “black hole†of dark data will continue to plague companies in 2023, including the loss of “tribal†knowledge every time an employee leaves the company. This knowledge gap will lead organizations to leverage AI to classify employee knowledge, making sure everything is captured and searchable, thus enabling team members and new employees to quickly ramp up rather than starting from ground zero.â€Â
10. Healthcare Industry Will Leverage AI-Driven Technology in 2023 and Beyond
Sanjeev AgrawalOpens a new window , president and chief operating officer, LeanTaaS
“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. For example, AI and ML can be used extremely effectively to optimize the utilization of operating rooms, inpatient beds, and infusion chairs.â€
See More: How is Artificial Intelligence Impacting Healthcare?
11. AI Automation Will Depend on Having Access to Clean Data Next Year
Ksenia PalkeOpens a new window , head of AI, Airspace
“AI impact in 2023 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.â€
12. AI in Cybersecurity Will Gain Momentum To Detect Anomalies in 2023
Myles GilsenanOpens a new window , 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.â€
See More: How Has AI And IoT Changed Human Work Experiences In Day To Day LifeOpens a new window
13. AI Projects Will Fail To Meet Expectations Without Right Data
Mike ConnellOpens a new window , 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 2023 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.â€
See More: Can AI in Recruitment Transform Hiring in a Post-Pandemic World? Q&A With DaXtra Technologies
14. AI Will Become Ingrained in Transport and Road Safety Projects in 2023
Ryan WilkinsonOpens a new window , chief technology officer, IntelliShift
“In 2023 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. 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.â€
15. Deep Learning Will Drive Significant Demand for GPUs
Nick ElprinOpens a new window , co-founder and CEO, Domino Data Lab
“The biggest source of improvement in AI has been the deployment of deep learning—and especially transformer models—in training systems, which are meant to mimic the action of a brain’s neurons and the tasks of humans. These breakthroughs require tremendous compute power to analyze vast structured and unstructured data sets. Unlike CPUs, graphics processing units (GPUs) can support the parallel processing that deep learning workloads require. That means in 2023, as more applications founded on deep learning technology emerge to do everything from translating menus to curing disease, demand for GPUs will continue to soar.â€Â
Do you think AI will shape business decision-making in 2023? Comment below or let us know on LinkedInOpens a new window , TwitterOpens a new window , or FacebookOpens a new window . We’d love to hear from you!