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Artificial intelligence market in the education sector in US 2021-2025. The analyst has been monitoring the artificial intelligence market in the education sector in US and it is poised to grow by $ 253.

New York, March 24, 2021 (GLOBE NEWSWIRE) -- Reportlinker.com announces the release of the report "Artificial Intelligence Market in the Education Sector in US 2021-2025" - https://www.reportlinker.com/p06035148/?utm_source=GNW 82 mn during 2021-2025, progressing at a CAGR of 49% during the forecast period. Our report on artificial intelligence market in the education sector in US provides a holistic analysis, market size and forecast, trends, growth drivers, and challenges, as well as vendor analysis covering around 25 vendors.The report offers an up-to-date analysis regarding the current us market scenario, latest trends and drivers, and the overall market environment. The market is driven by the growing emphasis on customized learning paths using AI and increased demand for ITS. In addition, growing emphasis on customized learning paths using AI is anticipated to boost the growth of the market as well.The artificial intelligence market in the education sector in US market analysis includes end-user segment and geographical landscapes.

The artificial intelligence market in the education sector in US is segmented as below:By End-user Higher education K-12

By Education Model Learner model Pedagogical model Domain model

This study identifies the significant scope of ai applications as one of the prime reasons driving the artificial intelligence market in the education sector in US growth during the next few years.

The analyst presents a detailed picture of the market by the way of study, synthesis, and summation of data from multiple sources by an analysis of key parameters. Our report on artificial intelligence market in the education sector in US covers the following areas: Artificial intelligence market in the education sector in US sizing Artificial intelligence market in the education sector in US forecast Artificial intelligence market in the education sector in US industry analysis

This robust vendor analysis is designed to help clients improve their market position, and in line with this, this report provides a detailed analysis of several leading artificial intelligence market in the education sector in US vendors that include Alphabet Inc., Amazon Web Services Inc., Cognii, International Business Machines Corp., McGraw-Hill Education Inc., Microsoft Corp., Nuance Communications Inc., Pearson Plc, Pixatel, and Quantum Adaptive Learning LLC. Also, the artificial intelligence market in the education sector in US analysis report includes information on upcoming trends and challenges that will influence market growth. This is to help companies strategize and leverage on all forthcoming growth opportunities.The study was conducted using an objective combination of primary and secondary information including inputs from key participants in the industry. The report contains a comprehensive market and vendor landscape in addition to an analysis of the key vendors.

The analyst presents a detailed picture of the market by the way of study, synthesis, and summation of data from multiple sources by an analysis of key parameters such as profit, pricing, competition, and promotions. It presents various market facets by identifying the key industry influencers. The data presented is comprehensive, reliable, and a result of extensive research - both primary and secondary. Technavios market research reports provide a complete competitive landscape and an in-depth vendor selection methodology and analysis using qualitative and quantitative research to forecast an accurate market growth.Read the full report: https://www.reportlinker.com/p06035148/?utm_source=GNW

About ReportlinkerReportLinker is an award-winning market research solution. Reportlinker finds and organizes the latest industry data so you get all the market research you need - instantly, in one place.

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The Artificial Intelligence Market is expected to grow by $ 253.82 mn during 2021-2025, progressing at a CAGR of 49% during the forecast period -...

Pune, India, March 24, 2021 (Wiredrelease) Prudour Pvt. Ltd : The New Report Artificial Intelligence as a Service Market posted through MarketResearch.Biz, covers the market panorama and its growth possibilities over the upcoming years. The report also offers leading players in this market. The research comprises in-depth insight of the worldwide share, size, and developments, in addition to the growth rate of the Artificial Intelligence as a Service Market to estimate its development throughout the forecast period. Most importantly, the report in addition identifies the historical, current, and future developments which might be predicted to persuade the improvement ratio of the Artificial Intelligence as a Service market. The research segments the market on the premise of solution, technology, organization size, industrial vertical, and region. To provide extra readability concerning the Artificial Intelligence as a Service industry, the report takes a more in-depth study the contemporary fame of different factors along with however now no longer confined to deliver chain management, area of interest markets, distribution channel, trade, deliver, supply and manufacturing functionality regionwise.

The Artificial Intelligence as a Service market report has provided an evaluation of different factors influencing the markets ongoing rise. Drivers, restraints, and Artificial Intelligence as a Service market developments are elaborated to apprehend their tremendous or terrible effects. This segment is aimed toward supplying readers with thorough facts approximately the capability scope of diverse programs and segments. These Artificial Intelligence as a Service market estimates are primarily based totally on the present developments and ancient milestones.

*** NOTE:Our Free Complimentary Sample Report Offers a BriefSummary Of The Report, TOC,Company Profiles and Geographic Segmentation, List of Tables and Figures, and FutureEstimation ***

The top players are examined through the following points:

Business Segmentation Research and Study

SWOT Analysis and Porters Five Forces Evaluation

COVID 19 Impact Analysis on Latest Artificial Intelligence as a Service Market Situation (Drivers, Restraints, Trends, Challenges and Opportunities)

Global Artificial Intelligence as a Service market has been studied definitely to get higher insights into the businesses. Across the globe, various regions includes North America, Latin America, Asia-Pacific, Europe, and Africa were summarized withinside the report Artificial Intelligence as a Service Market.

*** NOTE: MarketResearch.Biz crew are reading Covid19 updates and its effect at the increase of the Artificial Intelligence as a Service market and wherein important we can take into account Covid-19 footmark for a higher evaluation of the market and industries. Contact us cogently for extra targeted facts.***

Artificial Intelligence as a Service Market Segmentation:

Segmentation by Solution: Modeler and Processing, Data Storage and Archiving, Cloud and Web-Based Application Programming Interface (APIs), Others (Model Validator, Decision Report, Predictor, Training, and Report Storage). Segmentation by Technology: Deep Learning, Machine Learning (ML), Natural Language Processing (NLP). Segmentation by Organization Size: Large Enterprises, Small and Medium-Sized Enterprises (SMEs). Segmentation by Industrial Vertical: Healthcare and Defense, Government and Utilities, IT and Telecommunications, Media Communication Services, Banking, Financial Services and Insurance (BFSI), Others (Food Beverages, Oil Gas, Real Estate, Manufacturing and Retail, and Transportation and Logistics)

Global Artificial Intelligence as a Service Market: Regional Analysis

The Artificial Intelligence as a Service market research report studies the contribution of diverse areas withinside the market through information on their political, technological, social, environmental, and financial fame. Artificial Intelligence as a Service market analysts have covered reports referring to each location, its manufacturers, and revenue. The areas studied withinside the market consist of North America, Europe, Asia Pacific, South and Central America, South Asia, the Middle and Africa, South Korea, and others. This segment is targeted at supporting the Artificial Intelligence as a Service market reader examine the capability of every location for making sound investments.

The Artificial Intelligence as a Service market objective examine are:

Artificial Intelligence as a Service Overview Market Status and Future Forecast 2021 to 2031

Artificial Intelligence as a Service Market report mentioned product developments, partnerships, mergers and acquisitions, RD tasks are mentioned

Artificial Intelligence as a Service Market Details on Opportunities and Challenges, Restrictions and Risks, Market Drivers, Challenges.

General aggressive scenario, along with the principle market players, their growth targets, expansions, deals.

In-depth Description of Artificial Intelligence as a Service Market Manufacturers, Sales, Revenue, Market Share, and Latest Developments for Key Players.

To examine and research the Artificial Intelligence as a Service market through solution, technology, organization size, industrial vertical, and region

The major questions replied withinside the report:

What are the principal elements that take this market to the top level?

What is the market growth and demand analysis?

What are the recent possibilities for the Artificial Intelligence as a Service market withinside the coming period?

What are the principal benefits of the player?

What is the important thing to the Artificial Intelligence as a Service market?

Section 1: Based on an executive synopsis of this report. And additionally, it consists of key developments of the Artificial Intelligence as a Service market associated with products, applications, and different critical elements. It additionally affords an evaluation of the aggressive panorama and CAGR and market length of the Artificial Intelligence as a Service market primarily based totally on manufacturing and revenue.

Section 2: Production and Consumption Through Region: It covers all nearby markets to which the research examine relates. Prices and key players similarly to manufacturing and intake in every nearby Artificial Intelligence as a Service market are mentioned.

Section 3: Key Players: Here, the Artificial Intelligence as a Service report throws mild on monetary ratios, pricing structure, manufacturing cost, gross profit, income volume, revenue, and gross margin of main and outstanding companies.

Section 4: Market Segments: This part of the report discusses product kind and alertness segments of the Artificial Intelligence as a Service market primarily based totally on market share, CAGR, market size, and diverse different elements.

Section 5: Research Methodology: This segment discusses the research technique and technique used to put together the Artificial Intelligence as a Service report. It covers reports triangulation, market breakdown, market length estimation, and research layout and/or programs.

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Artificial Intelligence As A Service Market Key Factor Is Increasing Adoption of Advanced Commodity Services - Cadillac News

The Indo-US Science and Technology Forum launched the US India Artificial Intelligence Initiative on March 17 to foster the science and technology relationship between the two countries.

The Secretary of the Department of Science and Technology, Prof Ashutosh Sharma, said the Indo-US relationships in science and technology go way back and have significantly benefited both countries.

Analytics India Magazine spoke with geopolitics experts to understand what to expect from the initiative and how India will benefit from the partnership.

AI and other emerging technologies play a vital role in modern geopolitics.

Technology is underpinning the future of relations between nations, said Abishur Prakash, geopolitical futurist at the Centre for Innovating the Future, in Canada, For India, the new AI-initiative with the US could result in breakthroughs or collaboration in areas like defence or healthcare. India and Russia adopted a similar model to develop the BrahMos cruise missile. Similarly, India and Finland are exploring 6G. This is the new geopolitical paradigm governments are working with.

Its still early days for AI in India. But, there is a clear desire to improve Indo-US cooperation in the field of emerging technologies.

AI will be deployed like a tool across sectors, but India hasnt set clear priorities, and it is difficult to predict, said Arindrajit Basu, Program Manager at the Centre for Internet & Society. What we can predict is that it is far easier to have a collaboration on capacity building, R&D, exchange on scientific information, securing supply chains rather than getting on to consensus on norms that will govern AI.

There is clearly a desire for greater Indo-US cooperation in the field of emerging technology. This has been made clear through bi-lateral and multilateral initiatives, which include specific agreements to emerging tech like the USIAI or GPAI respectively and agreements that have to do with general security, like the Quad, which also has a focus on emerging tech, he added.

India and the US can complement each other in this collaborative effort to ensure equitable progress.

For the US, India represents a massive consumer market and one of the worlds largest troves of data. Technology firms in the US accessing this data will be like energy firms finding oil in the Middle East, said Prakash.

For India, the US algorithms are solutions to a variety of development challenges India faces, from bringing banking to hundreds of millions of people to modernising the Indian military to offering healthcare to the masses. At the same time, for US technology firms, India churns out massive amounts of engineers and computer scientists critical talent that these firms need.

Another major reason for a partnership between India and the US is the new geopolitical realities. Chinas growing influence in the field of AI is a pressing concern.

What India and the US bring to the table is what is a supposedly democratic governance model of emerging technology, said Basu, Despite the change in administration from Trump to Biden, there are certain things where there is continuity like distrust in China and Chinese technology. There is a clear desire to ensure that supply chains are governed by standards, rules, and norms of the democratic world.

Both countries are leveraging AI and other emerging technologies to improve their relationships and gain a geopolitical edge.

The US and India are at a place where they both need each other. For the US, it needs allies like India to take on China. And India needs technology and support from the US to rise in the world. It is a win-win situation, said Prakash, Because technology is defining geopolitics, both sides are turning to AI to grow closer. This is the beginning of the West, bringing India into its technology orbit. And, it is the beginning of India moving away from its non-aligned position because of Next Geopolitics.

Experts believe AI and emerging technologies will define relationships between countries. India should look for further opportunities to use its potential and establish its footprint in AI and emerging technology.

This is the model going forward. That is, technology is how nations will build their ties. One region that India may be doubling-down on is Southeast Asia. This region is becoming a hotbed of competition between the major powers of the world, said Prakash

India could use the AI-forum with the US as a testbed to understand what works. With this knowledge, India could then take its own algorithms to Southeast Asian nations, creating an AI-corridor and a new kind of geopolitical power. Of course, this could also happen through QUAD or even the Five Eyes (if India joins).

At the same time, it is also essential to establish safeguards to protect Indian citizens from exploitative data practices of the US or other major economies.

While we dont want to get into a regulatory tussle, we also want to ensure that the interests of our citizens are protected, said Basu, Proactive regulation that protects data privacy; prevents inequitable mergers, anti-competitive practices, and competition law; guarantees free and fair taxation of these companies are the first step.

Simultaneously, if we regulate in a manner that is uncertain, excessive, and counterproductive to these companies, we risk losing investment and opportunities for collaboration. A partnership of this nature will hopefully ensure that various stakeholders come to the table and ensure that regulation is fair in a manner that protects the rights of citizens, while businesses are not severely impacted, he added.

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What To Expect From The New US-India Artificial Intelligence Initiative - Analytics India Magazine

Dublin, March 22, 2021 (GLOBE NEWSWIRE) -- The "Artificial Intelligence in Supply Chain Management Market by Technology, Processes, Solutions, Management Function (Automation, Planning and Logistics, Inventory, Risk), Deployment Model, Business Type and Industry Verticals 2021 - 2026" report has been added to ResearchAndMarkets.com's offering.

This report provides detailed analysis and forecasts for AI in SCM by solution (Platforms, Software, and AI as a Service), solution components (Hardware, Software, Services), management function (Automation, Planning and Logistics, Inventory Management, Fleet Management, Freight Brokerage, Risk Management, and Dispute Resolution), AI technologies (Cognitive Computing, Computer Vision, Context-aware Computing, Natural Language Processing, and Machine Learning), and industry verticals (Aerospace, Automotive, Consumer Goods, Healthcare, Manufacturing, and others).

This is the broadest and detailed report of its type, providing analysis across a wide range of go-to-operational process considerations, such as the need for identity management and real-time location tracking, and market deployment considerations, such as AI type, technologies, platforms, connectivity, IoT integration, and deployment model including AI-as-a-Service (AIaaS). Each aspect evaluated includes forecasts from 2021 to 2026 such as AIaaS by revenue in China. It provides an analysis of AI in SCM globally, regionally, and by country including the top ten countries per region by market share.

The report provides an analysis of leading companies and solutions that are leveraging AI in their supply chains and those they manage on behalf of others, with an evaluation of key strengths and weaknesses of these solutions. It assesses AI in SCM by industry vertical and application such as material movement tracking and drug supply management in manufacturing and healthcare respectively. The report also provides a view into the future of AI in SCM including analysis of performance improvements such as optimization of revenues, supply chain satisfaction, and cost reduction.

Select Report Findings:

Modern supply chains represent complex systems of organizations, people, activities, information, and resources involved in moving a product or service from supplier to customer. Supply Chain Management (SCM) solutions are typically manifest in software architecture and systems that facilitate the flow of information among different functions within and between enterprise organizations.

Leading SCM solutions catalyze information sharing across organizational units and geographical locations, enabling decision-makers to have an enterprise-wide view of the information needed in a timely, reliable and consistent fashion. Various forms of Artificial Intelligence (AI) are being integrated into SCM solutions to improve everything from process automation to overall decision-making. This includes greater data visibility (static and real-time data) as well as related management information system effectiveness.

In addition to fully automated decision-making, AI systems are also leveraging various forms of cognitive computing to optimize the combined efforts of artificial and human intelligence. For example, AI in SCM is enabling improved supply chain automation through the use of virtual assistants, which are used both internally (within a given enterprise) as well as between supply chain members (e.g. customer-supplier chains). It is anticipated that virtual assistants in SCM will leverage an industry-specific knowledge database as well as company, department, and production-specific learning.

AI-enabled improvements in supply chain member satisfaction causes a positive feedback loop, leading to better overall SCM performance. One of the primary goals is to leverage AI to make supply chain improvements from production to consumption within product-related industries as well as create opportunities for supporting "servitization" of products in a cloud-based "as a service" model. AI will identify opportunities for supply chain members to have greater ownership of "outcomes as a service" and control of overall product/service experience and profitability.

With Internet of Things (IoT) technologies and solutions taking an ever-increasing role in SCM, the inclusion of AI algorithms and software-driven processes with IoT represents a very important opportunity to leverage the Artificial Intelligence of Things (AIoT) in supply chains. More specifically, AIoT solutions leverage the connectivity and communications power of IoT, along with the machine learning and decision-making capabilities of AI, as a means of optimizing SCM by way of data-driven managed services.

Key Topics Covered:

1.0 Executive Summary

2.0 Introduction2.1 Supply Chain Management2.1.1 Challenges2.1.2 Opportunities2.2 AI in SCM2.2.1 Key AI Technologies for SCM2.2.2 AI and Technology Integration

3.0 AI in SCM Challenges and Opportunities3.1 Market Dynamics3.1.1 Companies with Complex Supply Chains3.1.2 Logistics Management Companies3.1.3 SCM Software Solution Companies3.2 Technology and Solution Opportunities3.2.1 Leverage Artificial Intelligence (AI)3.2.1.1 Integrate AI with Existing Processes3.2.1.2 Integrate AI with Existing Systems3.2.2 Integrate AI with Internet of Things (IoT)3.2.2.1 Leverage AIoT Platforms, Software, and Services3.2.2.2 Leverage Data as a Service Providers3.3 Implementation Challenges3.3.1 Management Friction3.3.2 Legacy Processes and Procedures3.3.3 Outsource AI SCM Solution vs. Legacy Integration

4.0 Supply Chain Ecosystem Company Analysis4.1 Vendor Market Share4.2 Top Vendor Recent Developments4.3 3M4.4 Adidas4.5 Amazon4.6 Arvato SCM Solutions4.7 BASF4.8 Basware4.9 BMW4.10 C. H.Robinson4.11 Cainiao Network (Alibaba)4.12 Cisco Systems4.13 ClearMetal4.14 Coca-Cola Co.4.15 Colgate-Palmolive4.16 Coupa Software4.17 Descartes Systems Group4.18 Diageo4.19 E2open4.20 Epicor Software Corporation4.21 FedEx4.22 Fraight AI4.23 H&M4.24 HighJump4.25 Home Depot4.26 HP Inc.4.27 IBM4.28 Inditex4.29 Infor Global Solutions4.30 Intel4.31 JDA4.32 Johnson & Johnson4.33 Kimberly-Clark4.34 L'Oreal4.35 LLamasoft Inc.4.36 Logility4.37 Manhattan Associates4.38 Micron Technology4.39 Microsoft4.40 Nestle4.41 Nike4.42 Novo Nordisk4.43 NVidia4.44 Oracle4.45 PepsiCo4.46 Presenso4.47 Relex Solution4.48 Sage4.49 Samsung Electronics4.50 SAP4.51 Schneider Electric4.52 SCM Solutions Corp.4.53 Splice Machine4.54 Starbucks4.55 Teknowlogi4.56 Unilever4.57 Walmart4.58 Xilinx

5.0 AI in SCM Market Case Studies5.1 IBM Case Study with the Master Lock Company5.2 BASF: Supporting smarter supply chain operations with cognitive cloud technology5.3 Amazon Customer Retention Case Study5.4 BMW Employs AI for Logistics Processes5.5 Intelligent Revenue and Supply Chain Management5.6 AI-Powered Customer Experience5.7 Rolls Royce uses AI to safely transport its Cargo5.8 Robots deliver medicine, groceries and packages with AI5.9 Lineage Logistics Company Case Study

6.0 AI in SCM Market Analysis and Forecasts 2021 - 20266.1 AI in SCM Market 2021 - 20266.2 AI in SCM by Solution 2021 - 20266.2.1 Platforms6.2.2 Software6.2.3 AI as a Service6.3 AI in SCM by Solution Components 2021 - 20266.3.1 Hardware6.3.1.1 Non-IoT Device6.3.1.2 IoT Embedded Device6.3.1.2.1 Security Devices6.3.1.2.2 Surveillance Robots and Drone6.3.1.2.3 Networking Devices6.3.1.2.4 Smart Appliances6.3.1.2.5 Healthcare Device6.3.1.2.6 Smart Grid Devices6.3.1.2.7 In-Vehicle Devices6.3.1.2.8 Energy Management Device6.3.1.3 Components6.3.1.3.1 Wearable and Embedded Components6.3.1.3.1.1 Real-Time Location System (RTLS)6.3.1.3.1.2 Barcode6.3.1.3.1.3 Barcode Scanner6.3.1.3.1.4 Barcode Stickers6.3.1.3.1.5 RFID6.3.1.3.1.6 RFID Tags6.3.1.3.1.7 Sensor6.3.1.3.2 Processors6.3.2 Software6.3.3 Services6.3.3.1 Professional Services6.4 AI in SCM by Management Function 2021 - 20266.4.1 Automation6.4.2 Planning and Logistics6.4.3 Inventory Management6.4.4 Fleet Management6.4.5 Virtual Assistance6.4.6 Freight Brokerage6.4.7 Risk Management and Dispute Resolution6.5 AI in SCM by Technology 2021 - 20266.5.1 Cognitive Computing6.5.2 Computer Vision6.5.3 Context-aware Computing6.5.4 Natural Language Processing6.5.5 Predictive Analytics6.5.6 Machine Learning6.5.6.1 Reinforcement Learning6.5.6.2 Supervised Learning6.5.6.3 Unsupervised Learning6.5.6.4 Deep Learning6.6 AI in SCM by Industry Vertical 2021 - 20266.6.1 Aerospace and Government6.6.2 Automotive and Transportation6.6.3 Retail and Consumer Electronics6.6.4 Consumer Goods6.6.5 Healthcare6.6.6 Manufacturing6.6.7 Building and Construction6.6.8 Others6.7 AI in SCM by Deployment 2021 - 20266.7.1 Cloud Deployment6.8 AI in SCM by AI System 2021 - 20266.9 AI in SCM by AI Type 2021 - 20266.10 AI in SCM by Connectivity6.10.1 Non-Telecom Connectivity6.10.2 Telecom Connectivity6.10.3 Connectivity Standard6.10.4 Enterprise6.11 AI in SCM Market by IoT Edge Network 2021 - 20266.12 AI in SCM Analytics Market 2021 - 20266.13 AI in SCM Market by Intent Based Networking 2021 - 20266.14 AI in SCM Market by Virtualization 2021 - 20266.15 AI in SCM Market by 5G Network 2021 - 20266.16 AI in SCM Market by Blockchain Network 2021 - 20266.17 AI in SCM by Region 2021 - 20266.17.1 North America6.17.2 Asia Pacific6.17.3 Europe6.17.4 Middle East and Africa6.17.5 Latin America6.18 AI in SCM by Country6.18.1 Top Ten Country Market Share6.18.2 USA6.18.3 China6.18.4 Canada6.18.5 Mexico6.18.6 Japan6.18.7 UK6.18.8 Germany6.18.9 South Korea6.18.10 France6.18.11 Russia

7.0 Summary and Recommendations

For more information about this report visit https://www.researchandmarkets.com/r/uhqabi

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Insights on the Artificial Intelligence in Supply Chain Management Global Market to 2026 - Integration of AI with Internet of Things Presents...

SAN DIEGO, March 22, 2021 /PRNewswire/ --CamerEye() is reinventing swimming pool safety by introducing the first Artificial Intelligence (A.I.) Pool Smart Fence and safety ecosystem to provide faster distress and near-drowning detection to help save lives. https://www.camereye.ai

Residential pool development has rapidly been growing since the pandemic. With pool fun comes safety issues. There are more than 3,500 annual fatal unintentional drowning-related accidents in the U.S. alone and 15 percent more drowning related accidents have occurred since the COVID-19 pandemic.

Pool safety is coming under increasing regulatory scrutiny, with government regulatory standards and mandates requiring pool owners to have layers of pool safety and security.

"We understand the problem of pool safety and the notion of distress and drowning using life-guarding principles,which can help us solve the problem in a much informed way," says Sai Reddy, Founder and CEO of CamerEye, who was a competitive swimmer and holds a PhD in A.I. and data sciences. "Drowning occurs in various stages. CamerEye offers that layer of safety with very early stage detection when there is unauthorized entry around the pool's perimeter with our A.I. Smart Fence and is able to detect early distress behavior using A. I. technology."

The CamerEye A.I. Smart Fence and safety ecosystem for residential pools uses sophisticated and highly trained and adaptive artificial intelligent technology through overhead cameras. CamerEye excels at eliminating or reducing false detections due to its human detection capabilities ruling out pool toys, leaves and non-human items. It also offers faster and better distress detection alerts within 10 seconds, allowing for quicker critical response time.

CamerEye's smart system empowers pool owners to:

This affordable and easy-to-install overhead camera system keeps pool owners always connected and informed of their pool safety while providing another eye on their pool for peace of mind.

"Having fun in and around your pool should be a cherished lifestyle activity and not a liability," adds Reddy. "With our team's combined expertise in water sports and A.I., we want to make the world a safer place, and help people live their best life by providing peace of mind and helping to reduce risk."

Pricing is $799 MSRP with a free 3-month trial premium monitoring subscription for initial users. Monitoring subscription starts $12.99 per month after the first 3 months and includes a one-year warranty extension with each renewal. The basic subscription is $12.99 per month and premium subscription is $19.99 per month with automatic software upgrades. Live phone, chat and email support are included.

Learn more at https://www.camereye.ai. CamerEye is also seeking pool builders and service dealers for all territories. Call (800) 906-2810 or email [emailprotected] for more information.

Contact:Michele Moninger Baker858-449-3619[emailprotected]

SOURCE CamerEye

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CamerEye Introduces First Artificial Intelligence Smart Fence and Pool Safety Ecosystem for Faster Distress and Near-Drowning Detection to Help Save...