1) Low Code Tech, 2) Supplement Human Talent, 3) Limit of the app of AI in some Sectors, 4) Human-Centric, 5) Need for Critical IT Talent, 6) Save Costs Overcome Skills Shortage, 7) Removing Bias in AI, 8) Human Augmentation will play a Critical Role, 9) Dark Data, 10) Healthcare, 11) Clean Data, 12) Cyber-Security, 13) Right Data, 14) Transport and Road Safety, 15) Deep Learning w/ Graphics Processing Units (GPUs)
Leading Roles. Artificial Intelligence (AI) and Machine Learning (ML) will play a leading role in influencing digital transformation and operational efficiency in the coming years. Our 15 Experts share insights of the biggest emerging trends that will shape the future of AI.
Growing Influence. Emerging technologies, such as AI and ML, will play a leading role in influencing operational efficiency and business decision-making in 2023. The reliance on these tech-nologies is such that according to Gartner Opens a new window , the worldwide AI SW market will reach $62 billion in 2023. In fact in a poll by SpiceworksOpens a new window , 42% of tech professionals attested that AI will be the biggest technology trend for 2023. Let’s hear from experts on ways AI will evolve in 2023 to enable new use cases for businesses of all sizes.
AP Assoc. Myles Gilsenan, the VP 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.
IntelliShift. To meet evolving customer needs and accelerate digital transformation, more industries will start using 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, says Ryan Wilkinson, CTO.
Evolution. To understand how AI can be fully leveraged to meet business objectives in 2023, Spiceworks asked tech leaders about how they think the tech will evolve this year.
Here are the top 15 predictions on AI from the experts:
#1. AI w/ Transform Human Development with Low-Code Tech in 2023
Jean-François GagnéOpens a new window , head of AI product Mgt & 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 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.”
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#2. Companies will Adopt AI+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 System & Organization Controls (SOC). Having AI to supplement human talent – (ie, 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.”
#3. New Regulations & Restrictions could limit the Application of AI in Some Sectors
Click: Omkar KharkarOpens a new window , Mgr of Data Sci & Analytics, NTT DATA Srv’s
“The regulatory aspects of AI involving trust and ethics will become a larger factor in the coming year. We expect to see our regulatory environ-ment in the US continue to grow & evolve + 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.”
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#4. AI Projects will be more Human-Centric in 2023
Dr. Vishal Sikka, CEO and Founder of VianaiOpens a new window
“In 2023, more people 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 & 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, & monitoring AI + ML models, they will point the models to be more precise and also address drift and risk before they become dangerous.”
#5. Organizations will need Critical IT Talent to Initiate AI Projects in 2023
Bernd RueckerOpens a new window , Co-Founder & CTO, 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.”
#6. AI will help Save Costs & 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.”
#7. Businesses will Focus on removing Bias in AI in 2023
Krishnaram Kenthapadi, Chief Scientist
“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 & ML in 2023, business leaders must focus on demystifying algorithms and protecting individuals from bias in AI by monitoring models, then making them easy for everyone to understand, interpret, & leverage.”
#8. Human Augmentation will play a Critical Role in AI this Year
Hiro TienOpens a new window VP \Viralspace & Smartly.io
“We must take a step back and remember the intent of AI – which is to give us faster & 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 un-intended 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 in data, image & other augmentation.”
#9. Companies wll Leverage AI to shed some Light on Dark Data
Scot Francis, Tech Evangelist, PFU Amer
“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.”
#10. Healthcare Ind will Leverage AI-Driven Technology in 2023 +++
Sanjeev AgrawalOpens a new window , President & COO, 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 & IT staff in the adoption and ensuring this investment isn’t just trendy or buzz-worthy. For example, AI and ML can be used extremely effectively to optimize the utilization of infusion chairs, operating rooms, patient beds, etc.”
#11. AI Automation will Depend on having Access to Clean Data 2023 +
Ksenia PalkeOpens a new window , Head of AI, Airspace, Inc.
“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 & 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 & clean data, as the data has always been (and will continue to be) the key to AI.”
12. AI-CyberSecurity w/ Gain Momentum to detect Anomalies 2023
Myles GilsenanOpens a new window , VP of data, analytics, & AI, Apps Assoc.
“Safeguarding networks, critical infra-structure, 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 & 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.”
#13. AI Projects Will fail To meet Expectations w/o the Right Data
Mike ConnellOpens a new window , COO & Chief digital transformatn 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.”
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#14. AI Will Become Ingrained in Transport and Road Safety Projects
Ryan WilkinsonOpens a new window , CTO, 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.”
#15. Deep Learning will drive significant Demand for GPUs*
Nick ElprinOpens a new window , Co-Founder/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 apps founded on deep learning technology emerge to do everything from translating menus to curing disease, demand for GPUs w/ continue to soar.”
Do you think AI will shape Business Decision-Making in 2023?
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Complete? Do you know ay other AI Trends?
fm Spiceworks / Ziff Davis enhanced by Peter/CXO Wiz4.biz
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