CLEVELAND, Ohio The city of Cleveland will work with Case Western Reserve University and Cleveland State University on a solution for illegal dumping thats powered by artificial intelligence.

The end product will ideally provide new city-owned technology that Cleveland could use to identify people responsible for dumping, according to Roy Fernando, chief innovation and technology officer under Mayor Justin Bibb, who has promised to use technology to improve city services.

Cleveland City Council on Monday approved legislation allowing students and faculty, who are part of the two universities Internet of Things Collaborative, to commence work. It was one of two initiatives approved this week that is intended to bring smart technology to city devices and operations.

Students and staff will use smart cameras to develop and test an AI model designed to identify illegal dumping. Such work would be performed in a controlled-environment, likely on-campus, where students will walk into the field of view of a monitor and leave an item behind, Fernando said.

Once the model has been tweaked and perfected, it would be able to identify that person as having illegally dumped the item on the ground, Fernando said.

Then, the city intends to deploy smart cameras outfitted with the new technology on two corridors known for being dumping hotspots. One would be deployed on the citys East Side, and one on the West Side, Fernando said.

Once someone dumps an item and the AI model detects it, it would automatically alert authorities, so they could investigate and potentially ticket whoevers responsible.

If the test projects are successful, the technology could then be scaled-up for use elsewhere in Cleveland. The technology could also serve as a guide, of sorts, for creating different smart-city solutions for other problems, Fernando said.

Ward 3s Councilman Kerry McCormack, who has long advocated for Cleveland to begin using smart-city technology, praised the idea during a Monday committee hearing. He identified illegal dumping as one of the citys largest problems.

Ward 14s Councilwoman Jasmin Santana, who said illegal dumping has been a big concern in alleyways in her neighborhood, was a bit skeptical. We [already] know the hotspots for illegal dumping. Thats not the question, Santana said. [The issue is] capacity within the illegal dumping task force, and cameras.

The second smart-city initiative approved by Council on Monday was a no-cost partnership with Honeywell, a manufacturing and technology company, to develop a smart city roadmap that could be used to guide Clevelands future use of technology in delivering city services.

Cleveland was one of five cities selected for the partnership by Accelerator for America, which is a coalition of U.S. mayors that seeks and shares innovative solutions for problems commonly faced by municipalities.

Technology advancements identified by Honeywell could relate to any number of city services or needs. Examples mentioned by Fernando and McCormack include uses for transportation, sustainability, smart buildings, smart sensors embedded in roads or other infrastructure, meter-reading for utilities, making traffic lights more efficient, or monitoring air quality or waste collection.

Over a two- or three-month period, Honeywell will interview leaders of several city departments about challenges they routinely face. Honeywell will then present findings about how to address those challenges with smart technology, Fernando said.

Bibb intends to use those findings and recommendations to apply for federal grants that would be used to pay for the needed technology upgrades, he said.

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Cleveland wants to use artificial intelligence to fight illegal dumping - cleveland.com

SAN FRANCISCO, Sept. 20, 2022 /PRNewswire/ --The global AI in retail market size is anticipated to reach USD 40.74 billion by 2030, expanding at a CAGR of 23.9% from 2022 to 2030, according to a new study by Grand View Research, Inc. The rising prominence of advanced technologies, such as chatbots and voice recognition programs, has furthered the growth potential. Moreover, the emerging online retail sales, increasing focus of retailers on improving customers' shopping experience, rising reliance on digital marketing, and growing investments in AI, accompanied by supportive government regulations, are the crucial factors contributing to the progress of the industry worldwide.

Key Industry Insights & Findings from the report:

Read 145 page full market research report for more Insights, "AI In Retail Market Size, Share & Trends Analysis Report By Component, By Technology (Chatbots, Natural Language Processing), By Sales Channel, By Application, By Region, And Segment Forecasts, 2022 - 2030", published by Grand View Research.

AI In Retail Market Growth & Trends

AI algorithms play a pivotal role in assessing a considerable amount of data collated from consumers' online behavior. Moreover, AI-driven image and video analytics have become trendier to help filter out and classify images and less important visual content, expediting investments across developed and developing economies.

Adopting AI in retail helps provide better outcomes and engage customers in the virtual world, which is expected to increase demand for AI in retail in the coming years. For instance, in January 2021, Google LLC launched Product Discovery Solutions for Retail. This product is a suite of services created to improve retailers' e-commerce potential and aid them in delivering personalized consumer experiences.

The image and video analytics segment is poised to gain a significant share in the AI in retail market during the assessment period, partly due to the growing prominence of in-store promotional strategies and image search. To illustrate, eBay uses AI to streamline image searches, enhance buyer-seller trust, and boost shipping and delivery times. Meanwhile, Amazon prioritizes AI to expand visual search and facial recognition, among others.

Stakeholders anticipate the virtual assistant segment to contribute significantly to the global market. The trend is mainly attributed to the growing prominence of voice-powered search queries and personalized shopping experiences. Prominently, intelligent virtual assistants have reshaped the industry dynamics, helping retailers handle customer queries seamlessly.

Major players in the market are consistently investing in advanced technologies and introducing customer targeting and tailored solutions to stay ahead of the competition. For instance, in August 2020, Kenco, a company that provides logistics services based in the U.S., launched DaVinci AI to create predictive insights, boosting supply chain and prescriptive actions.

AI In Retail Market Segmentation

Grand View Research has segmented the global AI in retail market based on component, technology, sales channel, application, and region:

AI In Retail Market - Component Outlook (Revenue, USD Million, 2017 - 2030)

AI In Retail Market - Technology Outlook (Revenue, USD Million, 2017 - 2030)

AI In Retail Market - Sales Channel Outlook (Revenue, USD Million, 2017 - 2030)

AI In Retail Market - Application Outlook (Revenue, USD Million, 2017 - 2030)

AI In Retail Market - Regional Outlook (Revenue, USD Million, 2017 - 2030)

List of Key Players in the AI In Retail Market

Check out more related studies published by Grand View Research:

Browse through Grand View Research's Next Generation Technologies IndustryResearch Reports.

About Grand View Research

Grand View Research, U.S.-based market research and consulting company, provides syndicated as well as customized research reports and consulting services. Registered in California and headquartered in San Francisco, the company comprises over 425 analysts and consultants, adding more than 1200 market research reports to its vast database each year. These reports offer in-depth analysis on 46 industries across 25 major countries worldwide. With the help of an interactive market intelligence platform, Grand View Research Helps Fortune 500 companies and renowned academic institutes understand the global and regional business environment and gauge the opportunities that lie ahead.

Contact:Sherry JamesCorporate Sales Specialist, USAGrand View Research, Inc.Phone: 1-415-349-0058Toll Free: 1-888-202-9519Email: [emailprotected]Web: https://www.grandviewresearch.comGrand View Compass| Astra ESG SolutionsFollow Us: LinkedIn | Twitter

Logo: https://mma.prnewswire.com/media/661327/Grand_View_Research_Logo.jpg

SOURCE Grand View Research, Inc

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Artificial Intelligence (AI) In Retail Market to Hit $40.74 Billion by 2030: Grand View Research, Inc. - PR Newswire

A Real Money subscriber wants to be involved with robotics and artificial intelligence in the years to come but doesn't believe he is a good stock picker. So what should he do?

Let's check out the charts of the Global X Robotics & Artificial Intelligence ETF (BOTZ) .

In the daily bar chart of BOTZ, below, we can see that the shares have been cut in half in the past year. BOTZ is trading below the declining 50-day moving average line and the bearish 200-day moving average line.

The On-Balance-Volume (OBV) line has declined the past year and remains in a downward trend. The weak OBV line confirms the weak price action. The Moving Average Convergence Divergence (MACD) is bearish.

In this weekly Japanese candlestick chart of BOTZ, below, we see a bearish picture. Prices are in a downward trend trading below the bearish 40-week moving average line. I do not see any bottom reversal patterns on the candles.

The weekly OBV line is bearish and the MACD oscillator is poised for another downside sell signal.

In this daily Point and Figure chart of BOTZ, below, we can see a downside price target in the $16 area.

In this weekly Point and Figure chart of BOTZ, below, we can see a downside price target in the $16-$15 area.

Bottom-line strategy: Robotics and AI are our future but the price of BOTZ could slip lower in the weeks ahead. Keep BOTZ on your shopping list and let's visit with the ETF again in December.

Get an email alert each time I write an article for Real Money. Click the "+Follow" next to my byline to this article.

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Let's Investigate a Way to Invest in Artificial Intelligence and Robotics - RealMoney

While the challenges in the healthcare industry are constantly increasing, hospitals adopting new technologies have helped to alleviate some of those struggles in the operating room. Discussing this topic is Dennis Kogan, co-founder, and CEO of Caresyntax, and Eric King, investment director at Intel Capital with host Alex Flores, Director of Global Health Solutions at Intels Network and Edge Group.

It becomes a delicate system that combines facility-specific issues, Kogan says. Post-pandemic, there were factors like staffing where experienced nurses are leaving for various reasons and they are being replaced with, for example, younger professionals or traveling nurses which come into the system that is often quite tailored to individual setups of a facility or physician.

Clearly, this change in operations has caused additional stress on staff and returning to pre-pandemic efficiency is a challenge.

King agreed, saying while the surgeon is the lead on the surgery, there are a lot of other members in the room who need to be properly trained. With staffing shortages as well as nurses traveling in and out of the operating room, getting a team to work together efficiently with quality outcomes isnt as simple as it was previously. To fill this gap, Caresyntaxs platforms can help improve team dynamics during a surgical procedure for the most successful staffing outcome.

The introduction of newer technology is supporting surgeons in real-time and using computer vision-based aides that do turn-by-turn type navigation of the operation. These technologies can determine anatomical structures and even warn physicians of the proximity of certain arteries.

Because of technology, experts can even remotely step into the operating room and provide guidance or feedback as surgeons are moving forward on complex surgeries.

There are good artificial intelligent stratification mechanisms for being able to support more objectively the decision-making process for physicians or case managers at difficult stages, Kogan says.

Caresyntax and Intel are looking to the future of innovation in medicine where the industry wraps the edge, the cloud, the analytics, the AI and automation, there is ample room for precision medicine surgery, Kogan explains. There are so many notes where take into account the data and the profile and create algorithms and applications that can help nudge the process in the optimal way in the decision tree you are creating personalized medicine in surgery, and thats the big vision.

To learn more, connect with Alex Flores, Dennis Kogan and Eric King on LinkedIn or visit Caresyntax.

Subscribe to this channel onApple Podcasts,Spotify, andGoogle Podcaststo hear more from the Intel Network & Edge Solutions Group.

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Artificial Intelligence in the Operating Room - MarketScale

UNDER EMBARGO UNTIL 8:00 PM ET ON SEPTEMBER 20, 2022

Newswise (New York, NY September 20, 2022) Mount Sinai researchers have used novel artificial intelligence methods to examine structural and cellular features of human brain tissues to help determine the causes of Alzheimers disease and other related disorders. The research team found that studying the causes of cognitive impairment by using an unbiased AI-based methodas opposed to traditional markers such as amyloid plaquesrevealed unexpected microscopic abnormalities that can predict the presence of cognitive impairment. These findings were published in the journal Acta Neuropathologica Communications on September 20.

AI represents an entirely new paradigm for studying dementia and will have a transformative effect on research into complex brain diseases, especially Alzheimers disease, said co-corresponding author John Crary, MD, PhD, Professor of Pathology, Molecular and Cell-Based Medicine, Neuroscience, and Artificial Intelligence and Human Health, at the Icahn School of Medicine at Mount Sinai. The deep learning approach was applied to the prediction of cognitive impairment, a challenging problem for which no current human-performed histopathologic diagnostic tool exists.

The Mount Sinai team identified and analyzed the underlying architecture and cellular features of two regions in the brain, the medial temporal lobe and frontal cortex. In an effort to improve the standard of postmortem brain assessment to identify signs of diseases, the researchers used a weakly supervised deep learning algorithm to examine slide images of human brain autopsy tissues from a group of more than 700 elderly donors to predict the presence or absence of cognitive impairment. The weakly supervised deep learning approach is able to handle noisy, limited, or imprecise sources to provide signals for labeling large amounts of training data in a supervised learning setting. This deep learning model was used to pinpoint a reduction in Luxol fast blue staining, which is used to quantify the amount of myelin, the protective layer around brain nerves. The machine learning models identified a signal for cognitive impairment that was associated with decreasing amounts of myelin staining; scattered in a non-uniform pattern across the tissue; and focused in the white matter, which affects learning and brain functions. The two sets of models trained and used by the researchers were able to predict the presence of cognitive impairment with an accuracy that was better than random guessing.

In their analysis, the researchers believe the diminished staining intensity in particular areas of the brain identified by AI may serve as a scalable platform to evaluate the presence of brain impairment in other associated diseases. The methodology lays the groundwork for future studies, which could include deploying larger scale artificial intelligence models as well as further dissection of the algorithms to increase their predictive accuracy and reliability. The team said, ultimately, the goal of this neuropathologic research program is to develop better tools for diagnosis and treatment of people suffering from Alzheimers disease and related disorders.

Leveraging AI allows us to look at exponentially more disease relevant features, a powerful approach when applied to a complex system like the human brain, said co-corresponding author Kurt W. Farrell, PhD, Assistant Professor of Pathology, Molecular and Cell-Based Medicine, Neuroscience, and Artificial Intelligence and Human Health, at Icahn Mount Sinai. It is critical to perform further interpretability research in the areas of neuropathology and artificial intelligence, so that advances in deep learning can be translated to improve diagnostic and treatment approaches for Alzheimers disease and related disorders in a safe and effective manner.

Lead author Andrew McKenzie, MD, PhD, Co-Chief Resident for Research in the Department of Psychiatry at Icahn Mount Sinai, added: Interpretation analysis was able to identify some, but not all, of the signals that the artificial intelligence models used to make predictions about cognitive impairment. As a result, additional challenges remain for deploying and interpreting these powerful deep learning models in the neuropathology domain.

Researchers from the University of Texas Health Science Center in San Antonio, Texas, Newcastle University in Tyne, United Kingdom, Boston University School of Medicine in Boston, and UT Southwestern Medical Center in Dallas also contributed to this research. The study was supported by funding from the National Institute of Neurological Disorders and Stroke, the National Institute on Aging, and the Tau Consortium by the Rainwater Charitable Foundation.

About the Mount Sinai Health System

Mount Sinai Health System is one of the largest academic medical systems in the New York metro area, with more than 43,000 employees working across eight hospitals, over 400 outpatient practices, nearly 300 labs, a school of nursing, and a leading school of medicine and graduate education. Mount Sinai advances health for all people, everywhere, by taking on the most complex health care challenges of our time discovering and applying new scientific learning and knowledge; developing safer, more effective treatments; educating the next generation of medical leaders and innovators; and supporting local communities by delivering high-quality care to all who need it.

Through the integration of its hospitals, labs, and schools, Mount Sinai offers comprehensive health care solutions from birth through geriatrics, leveraging innovative approaches such as artificial intelligence and informatics while keeping patients medical and emotional needs at the center of all treatment. The Health System includes approximately 7,300 primary and specialty care physicians; 13 joint-venture outpatient surgery centers throughout the five boroughs of New York City, Westchester, Long Island, and Florida; and more than 30 affiliated community health centers. We are consistently ranked by U.S. News & World Report's Best Hospitals, receiving high Honor Roll status, and are highly ranked: No. 1 in Geriatrics and top 20 in Cardiology/Heart Surgery, Diabetes/Endocrinology, Gastroenterology/GI Surgery, Neurology/Neurosurgery, Orthopedics, Pulmonology/Lung Surgery, Rehabilitation, and Urology. New York Eye and Ear Infirmary of Mount Sinai is ranked No. 12 in Ophthalmology. U.S. News & World Reports Best Childrens Hospitals ranks Mount Sinai Kravis Children's Hospital among the countrys best in several pediatric specialties. The Icahn School of Medicine at Mount Sinai is one of three medical schools that have earned distinction by multiple indicators: It is consistently ranked in the top 20 by U.S. News & World Reports Best Medical Schools, aligned with a U.S. News & World Report Honor Roll Hospital, and top 20 in the nation for National Institutes of Health funding and top 5 in the nation for numerous basic and clinical research areas. Newsweeks Worlds Best Smart Hospitals ranks The Mount Sinai Hospital as No. 1 in New York City and in the top five globally, and Mount Sinai Morningside in the top 30 globally; Newsweek also ranks The Mount Sinai Hospital highly in 11 specialties in Worlds Best Specialized Hospitals, and in Americas Best Physical Rehabilitation Centers.

For more information, visit https://www.mountsinai.org or find Mount Sinai on Facebook, Twitter and YouTube.

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Mount Sinai Researchers Use Artificial Intelligence to Uncover the Cellular Origins of Alzheimers Disease and Other Cognitive Disorders - Newswise

BUFFALO, N.Y. The University at Buffalo Humanities Institute (HI) will present the 2022 Humanities Festival Sept. 23-25, a free event exploring the theme of Life in the Age of Artificial Intelligence, with speakers, panels, music and community conversations in partnership with SUNY Buffalo State, Canisius College, Daemen University, Niagara University, and Humanities New York.

Artificial intelligence (AI) is a double-edged sword that has become embedded in our lives in both subtle and overt ways. How does it help? How does it harm? says Christina Milletti, associate professor of English and HIs interim director. For three days, the Buffalo Humanities Festival will try to engage in conversations that look at both the benefits and detrimental effects of AI, including those elements of the technology that might inadvertently create risk.

Artificial Intelligence is the latest, most public example, of an emerging technology that inspires questions about social, ethical and moral implications of its development. The uncertainty is similar to what surrounded the advent of the broadcast era and the initial stages of internet access, according to Lindsay Brandon Hunter, associate professor of theatre and the interim executive director of HI.

There is a long history of both moral panic and legitimate social inquiry about how new media shapes social action, says Hunter. When we integrate new technologies into a social system there will always be friction and celebration. Maybe whats coming to the fore with contemporary concerns about AI and algorithmic techniques is the realization that technological change happens so quickly we dont have time to pull back the curtain in order to see whats really going on, whos controlling it, and why.

The festivals launch on Friday, Sept. 23 at 6 p.m. at Torn Space Theater, 612 Fillmore Ave. in Buffalo, will feature AfroRithms from the Future, a collective, interactive storytelling performance involving the audience and local featured players that, through creative, afrofuturist-based gameplay, seeks to find solutions to dismantling systemic racism in favor of a socially just future, especially for those who do not traditionally benefit from technology.

Leading the performance will be AfroRithms co-founders Ahmed Best, adjunct professor of dramatic arts at the University of Southern California (and the actor/voice behind the Star Wars character Jar Jar Binks), and Lonny J Avi Brooks, California State University East Bay professor of strategic communication, alongside Buffalo players Chanon Judson, visiting associate professor of theatre and dance and co-artistic director of the acclaimed dance company, Urban Bush Women; Donte McFadden, PhD, UB director of the Distinguished Visiting Scholars Program; Samina Raja, PhD, professor of urban and regional planning; and Taylor Coleman, a UB graduate student of Africana and American Studies.

All other festival panels and performances will happen at Silo City. The complete schedule is available online.

The Festival at Silo City is highlighted by two special guest conversations. The first begins on Saturday, Sept. 24 at 11 a.m., and features the return of the AfroRithms group and select players for a debrief session of the Buffalo edition of the game. On Sunday, Sept. 25 at 11 a.m., the Festival launches with a visit from the University of Texas at Austins Good Systems Group (https://bridgingbarriers.utexas.edu/good-systems), a team of scholars across humanities and the sciences working to ensure the development of ethical, socially conscious AI.

Samuel Baker, associate professor of English and co-founder of Good Systems Group, and Sharon Strover, professor of journalism and media and co-director of the universitys Technology and Information Policy Institute, will discuss Human Values and AI with Kenny Joseph, PhD, UB assistant professor of computer science and engineering.

This years schedule might be the most wide-ranging and diversely informed conference HI has produced since beginning the annual Humanities Festival, according to Milletti.

Researchers and scholars in philosophy, media study, computer science, engineering, music, criminal justice, mobile computing, materials design, literature, theater and communicative disorders will be participating this year in a convergent conversation.

We need all the critical inquiry tools that the humanities have to offer, in conversation with the sciences, in order to interrogate the profound impact of AI on our lives from simple product and movie suggestions to divisive social media silos, from transportation safety and, perhaps, even travel to Mars, says Milletti.

The 2022 festival hopes to model that convergent conversation by deeply integrating varied disciplines on every panel to create new ways of addressing existing challenges.

Our aim is to cultivate a rigorous and hopeful discussion, says Hunter. Our audience will leave with a sense that theyve taken part in a conversation where various disciplines came together to not only exchange exciting ideas, but also to figure out what each of us can contribute to a dialogue that is incomplete without convergent participation.

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UB Humanities Institute's annual festival looks at Life in the Age of Artificial Intelligence - University at Buffalo

NEW YORK, Sept. 19, 2022 /PRNewswire/ -- The Artificial Intelligence Market in the Education Sector is expected to grow by USD 374.3 million during 2021-2026, at a CAGR of 48.15% during the forecast period, according to Technavio. The increasing demand for ITS will offer immense growth opportunities, and security and privacy concerns will challenge the growth of the market participants.

To make the most of the opportunities, market vendors should focus more on the growth prospects in the fast-growing segments, while maintaining their positions in the slow-growing segments. Increasing demand for it has been instrumental in driving the growth of the market. However, security and privacy concerns might hamper the market growth. Buy Sample Report.

Artificial Intelligence Market in the Education Segmentation

Artificial Intelligence Market in the Education Sector Scope

Technavio presents a detailed picture of the market by the way of study, synthesis, and summation of data from multiple sources. Our artificial intelligence market in the education sector report covers the following areas:

This study identifies increased emphasis on chatbots as one of the prime reasons driving the artificial intelligence market in the education sector growth during the next few years. Request Free Sample Report.

Artificial Intelligence Market in the Education Sector Vendor Analysis

We provide a detailed analysis of around 25 vendors operating in the Artificial Intelligence Market in the Education Sector, including some of the vendors such as vendors Backed with competitive intelligence and benchmarking, our research reports on the Artificial Intelligence Market in the Education Sector are designed to provide entry support, customer profile and M&As as well as go-to-market strategy support.

Find additional highlights on the growth strategies adopted by vendors and their product offerings, Download Free Sample Report.

Artificial Intelligence Market in the Education Sector Key Highlights

Related Reports:Overhead Cables Marketby Type and Geography - Forecast and Analysis 2022-2026:The overhead cables market share is expected to increase by USD17.67 billion from 2021 to 2026,and the market's growth momentum will accelerate at a CAGR of 5.1%.

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Artificial Intelligence Market In The Education Sector Scope

Report Coverage

Details

Page number

120

Base year

2021

Forecast period

2022-2026

Growth momentum & CAGR

Accelerate at a CAGR of 48.15%

Market growth 2022-2026

$ 374.3 million

Market structure

Fragmented

YoY growth (%)

46.6

Regional analysis

US

Performing market contribution

North America at 100%

Key consumer countries

US

Competitive landscape

Leading companies, competitive strategies, consumer engagement scope

Companies profiled

Alphabet Inc., Carnegie Learning Inc., Century-Tech Ltd., Cognii, DreamBox Learning Inc., Fishtree Inc., Intellinetics Inc., International Business Machines Corp., Jenzabar Inc, John Wiley and Sons Inc., LAIX Inc., McGraw Hill Education Inc., Microsoft Corp., Nuance Communications Inc., Pearson Plc, PleIQ Smart Toys Spa, Providence Equity Partners LLC, Quantum Adaptive Learning LLC, Tangible Play Inc., and True Group Inc.

Market Dynamics

Parent market analysis, Market growth inducers and obstacles, Fast-growing and slow-growing segment analysis, COVID-19 impact and future consumer dynamics, and market condition analysis for the forecast period.

Customization purview

If our report has not included the data that you are looking for, you can reach out to our analysts and get segments customized.

Browse for Technavio "Industrials" Research Reports

Table Of Contents :

1 Executive Summary

2 Market Landscape

3 Market Sizing

4 Five Forces Analysis

5 Market Segmentation by End-user

6 Market Segmentation by Type

7 Customer Landscape

8 Drivers, Challenges, and Trends

9 Vendor Landscape

10 Vendor Analysis

11 Appendix

About Us

Technavio is a leading global technology research and advisory company. Their research and analysis focus on emerging market trends and provides actionable insights to help businesses identify market opportunities and develop effective strategies to optimize their market positions. With over 500 specialized analysts, Technavio's report library consists of more than 17,000 reports and counting, covering 800 technologies, spanning across 50 countries. Their client base consists of enterprises of all sizes, including more than 100 Fortune 500 companies. This growing client base relies on Technavio's comprehensive coverage, extensive research, and actionable market insights to identify opportunities in existing and potential markets and assess their competitive positions within changing market scenarios.

Contact

Technavio ResearchJesse MaidaMedia & Marketing ExecutiveUS: +1 844 364 1100UK: +44 203 893 3200Email: [emailprotected]Website: http://www.technavio.com/

SOURCE Technavio

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Artificial Intelligence Market in the Education Sector 2026, Increasing Demand For ITS to Boost Growth - Technavio - PR Newswire