Overview

Depending on your perspective, your thoughts on artificial intelligence (AI) probably fall somewhere between the technology being an abstract threat or possibility, and a real-world solution with concrete use cases where you may not even know it is at work. This ARC Insight summarizes the case studies presented at the AI workshop at ARCs recent virtual European Industry Forum and shows potential usage of AI in machinery applications.

One of our key findings is that a clear use case for AI is needed, and the target established for that use case must be met to determine the ultimate success of the AI project. While the use case must be defined clearly, there is almost no limitation to the types of applications AI can support. When edge and cloud are leveraged in the right way and connectivity to other systems assured, the possibilities are almost endless.

Starting around 2009, people began talking about the fourth industrial revolution, Industrial IoT, and other related concepts. However, in retrospect, the second and third industrial revolutions largely just replaced human muscle and manual labor with machines and computers that basically repeat pre-programmed behavior. While the fourth industrial revolution increased the level of digitalization, until recently, even the most educated machines and computers did not make human-like decisions. Now, with AI entering the plant floor, were finally starting to use digital technology to replace not only muscles but also brains. Most experts agree that while AI will become deeply embedded across industrial and other applications and initial use cases have emerged, AI in manufacturing today is still a niche technology. In addition to the numerous AI-related related sessions and ad hoc surveys at our recent Industry Forums, ARC is conducting an ongoing online survey for industry participants to identify and support the most suitable applications.

When asked how they believe AI will be used in future, more than 100 industry participants shared their responses.

Most respondents agree that machinery will have AI in the future, but there is no overall agreement whether AI will be used in most machinery or just for high-end machinery. One possible explanation for this is that people have different perspectives on what constitutes high end machinery. Also, we intentionally did not specify a time horizon for this question. ARCs initial conclusion from this is that AI applications will start with more high-end machinery and then gradually migrate toward simpler machinery, such as palletizers and packaging machines.

In contrast, there is almost total agreement that AI will be deeply embedded. This may be in the controller, the engineering tool, or even embedded right into the device.

Technical constraints do not seem to be a big issue among our survey participants, but cultural issues are. ARC agrees with this. AI will take decisions away from the well-understood controller and, especially when deeply embedded, the results of the AI techniques are not 100 percent transparent. This is a real drawback in a generally conservative industry such as industrial automation.

Another finding from our online survey is that unclear use cases are among the top inhibitors for AI in manufacturing. This line up with ARCs observations from other industries: adopting new technology for technologys sake will not succeed. Hence, our European Industry Forum has featured use cases and best practices from leading OEMs, end users, and suppliers of AI, which we will summarize and discuss below.

Many technology suppliers now offer AI-enabled products and many machine builders have started to evaluate the technology. However, there are several roadblocks, most prominent among these are the lack of data scientists, lack of available data, legal aspects, human factors, and finally - unclear use cases.

ARC market research on AI in machinery applications identifies the current distribution of AI. The blue line in the chart at left summarizes these. As readers can see, maintenance applications in particular are prominent in the market. The green bubbles in the chart represent the case studies presented at our recent ARC virtual European Industry Forum.

We segmented the following case studies from the ARC European Forum by application, rather than company. The expert presenters were Andreas Geiss from Siemens, Maarten Stol from BrainCreators, Prabhu Venkatramanan from Larsen & Toubro (L&T) Construction, and Sander Aerts from Toyota Material Handling.

ARC Advisory Group clients can view the complete report at ARC Client Portal

If you would like to buy this report or obtain information about how to become a client, please Contact Us

Keywords: Artificial Intelligence, AI, Industrie 4.0, Cloud, Edge, Quality Control, Maintenance, Optimization, ARC Advisory Group.

More here:
Artificial Intelligence in Manufacturing and the Fourth Industrial Revolution - ARC Viewpoints

New York, July 23, 2020 (GLOBE NEWSWIRE) -- Reportlinker.com announces the release of the report "Artificial Intelligence in Aviation Market Research Report by Technology, by Offering, by Application - Global Forecast to 2025 - Cumulative Impact of COVID-19" - https://www.reportlinker.com/p05913258/?utm_source=GNW

On the basis of Technology, the Artificial Intelligence in Aviation Market is studied across Computer Vision, Context Awareness Computing, Machine Learning, and Natural Language Processing (Nlp). The Machine Learning further studied across Deep Learning, Reinforcement Learning, Semi-Supervised Learning, Supervised Learning, and Unsupervised Learning.

On the basis of Offering, the Artificial Intelligence in Aviation Market is studied across Hardware, Services, and Software. The Hardware further studied across Memory, Networks, and Processors. The Services further studied across Deployment & Integration and Support & Maintenance.

On the basis of Application, the Artificial Intelligence in Aviation Market is studied across Dynamic Pricing, Flight Operations, Manufacturing, Smart Maintenance, Surveillance, Training, and Virtual Assistants.

On the basis of Geography, the Artificial Intelligence in Aviation Market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas region is studied across Argentina, Brazil, Canada, Mexico, and United States. The Asia-Pacific region is studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, South Korea, and Thailand. The Europe, Middle East & Africa region is studied across France, Germany, Italy, Netherlands, Qatar, Russia, Saudi Arabia, South Africa, Spain, United Arab Emirates, and United Kingdom.

Company Usability Profiles:The report deeply explores the recent significant developments by the leading vendors and innovation profiles in the Global Artificial Intelligence in Aviation Market including Airbus, Amazon, Boeing, Garmin, GE, IBM, Intel, Lockheed Martin, Micron, Microsoft, Nvidia, Samsung Electronics, Thales, and Xilinx.

FPNV Positioning Matrix:The FPNV Positioning Matrix evaluates and categorizes the vendors in the Artificial Intelligence in Aviation Market on the basis of Business Strategy (Business Growth, Industry Coverage, Financial Viability, and Channel Support) and Product Satisfaction (Value for Money, Ease of Use, Product Features, and Customer Support) that aids businesses in better decision making and understanding the competitive landscape.

Competitive Strategic Window:The Competitive Strategic Window analyses the competitive landscape in terms of markets, applications, and geographies. The Competitive Strategic Window helps the vendor define an alignment or fit between their capabilities and opportunities for future growth prospects. During a forecast period, it defines the optimal or favorable fit for the vendors to adopt successive merger and acquisition strategies, geography expansion, research & development, and new product introduction strategies to execute further business expansion and growth.

Cumulative Impact of COVID-19:COVID-19 is an incomparable global public health emergency that has affected almost every industry, so for and, the long-term effects projected to impact the industry growth during the forecast period. Our ongoing research amplifies our research framework to ensure the inclusion of underlaying COVID-19 issues and potential paths forward. The report is delivering insights on COVID-19 considering the changes in consumer behavior and demand, purchasing patterns, re-routing of the supply chain, dynamics of current market forces, and the significant interventions of governments. The updated study provides insights, analysis, estimations, and forecast, considering the COVID-19 impact on the market.

The report provides insights on the following pointers:1. Market Penetration: Provides comprehensive information on sulfuric acid offered by the key players2. Market Development: Provides in-depth information about lucrative emerging markets and analyzes the markets3. Market Diversification: Provides detailed information about new product launches, untapped geographies, recent developments, and investments4. Competitive Assessment & Intelligence: Provides an exhaustive assessment of market shares, strategies, products, and manufacturing capabilities of the leading players5. Product Development & Innovation: Provides intelligent insights on future technologies, R&D activities, and new product developments

The report answers questions such as:1. What is the market size and forecast of the Global Artificial Intelligence in Aviation Market?2. What are the inhibiting factors and impact of COVID-19 shaping the Global Artificial Intelligence in Aviation Market during the forecast period?3. Which are the products/segments/applications/areas to invest in over the forecast period in the Global Artificial Intelligence in Aviation Market?4. What is the competitive strategic window for opportunities in the Global Artificial Intelligence in Aviation Market?5. What are the technology trends and regulatory frameworks in the Global Artificial Intelligence in Aviation Market?6. What are the modes and strategic moves considered suitable for entering the Global Artificial Intelligence in Aviation Market?Read the full report: https://www.reportlinker.com/p05913258/?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.

__________________________

Originally posted here:
The Global Artificial Intelligence in Aviation Market is expected to grow from USD 273.37 Million in 2019 to USD 1,751.48 Million by the end of 2025...

New York, July 23, 2020 (GLOBE NEWSWIRE) -- Reportlinker.com announces the release of the report "Artificial Intelligence in Accounting Market Research Report by Component, by Technology, by Deployment, by Application - Global Forecast to 2025 - Cumulative Impact of COVID-19" - https://www.reportlinker.com/p05913257/?utm_source=GNW

On the basis of Component, the Artificial Intelligence in Accounting Market is studied across Services and Solutions. The Services further studied across Managed Services and Professional Services. The Solutions further studied across Platforms and Software Tools.

On the basis of Technology, the Artificial Intelligence in Accounting Market is studied across Machine Learning and Deep Learning and Natural Language Processing.

On the basis of Deployment, the Artificial Intelligence in Accounting Market is studied across Cloud and On-Premises.

On the basis of Application, the Artificial Intelligence in Accounting Market is studied across Automated Bookkeeping, Fraud and Risk Management, Invoice Classification and Approvals, and Reporting.

On the basis of Geography, the Artificial Intelligence in Accounting Market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas region is studied across Argentina, Brazil, Canada, Mexico, and United States. The Asia-Pacific region is studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, South Korea, and Thailand. The Europe, Middle East & Africa region is studied across France, Germany, Italy, Netherlands, Qatar, Russia, Saudi Arabia, South Africa, Spain, United Arab Emirates, and United Kingdom.

Company Usability Profiles:The report deeply explores the recent significant developments by the leading vendors and innovation profiles in the Global Artificial Intelligence in Accounting Market including AppZen Inc, AWS Inc, Deloitte Touche Tohmatsu Limited, IBM Corporation, Kore.ai, Inc., KPMG International Cooperative, Microsoft Corporation, OneUp, OSP Labs, Sage Group, SMACC, UiPath, Vic.ai, Inc, Xero Limited, and YayPay Inc.

FPNV Positioning Matrix:The FPNV Positioning Matrix evaluates and categorizes the vendors in the Artificial Intelligence in Accounting Market on the basis of Business Strategy (Business Growth, Industry Coverage, Financial Viability, and Channel Support) and Product Satisfaction (Value for Money, Ease of Use, Product Features, and Customer Support) that aids businesses in better decision making and understanding the competitive landscape.

Competitive Strategic Window:The Competitive Strategic Window analyses the competitive landscape in terms of markets, applications, and geographies. The Competitive Strategic Window helps the vendor define an alignment or fit between their capabilities and opportunities for future growth prospects. During a forecast period, it defines the optimal or favorable fit for the vendors to adopt successive merger and acquisition strategies, geography expansion, research & development, and new product introduction strategies to execute further business expansion and growth.

Cumulative Impact of COVID-19:COVID-19 is an incomparable global public health emergency that has affected almost every industry, so for and, the long-term effects projected to impact the industry growth during the forecast period. Our ongoing research amplifies our research framework to ensure the inclusion of underlaying COVID-19 issues and potential paths forward. The report is delivering insights on COVID-19 considering the changes in consumer behavior and demand, purchasing patterns, re-routing of the supply chain, dynamics of current market forces, and the significant interventions of governments. The updated study provides insights, analysis, estimations, and forecast, considering the COVID-19 impact on the market.

The report provides insights on the following pointers:1. Market Penetration: Provides comprehensive information on sulfuric acid offered by the key players2. Market Development: Provides in-depth information about lucrative emerging markets and analyzes the markets3. Market Diversification: Provides detailed information about new product launches, untapped geographies, recent developments, and investments4. Competitive Assessment & Intelligence: Provides an exhaustive assessment of market shares, strategies, products, and manufacturing capabilities of the leading players5. Product Development & Innovation: Provides intelligent insights on future technologies, R&D activities, and new product developments

The report answers questions such as:1. What is the market size and forecast of the Global Artificial Intelligence in Accounting Market?2. What are the inhibiting factors and impact of COVID-19 shaping the Global Artificial Intelligence in Accounting Market during the forecast period?3. Which are the products/segments/applications/areas to invest in over the forecast period in the Global Artificial Intelligence in Accounting Market?4. What is the competitive strategic window for opportunities in the Global Artificial Intelligence in Accounting Market?5. What are the technology trends and regulatory frameworks in the Global Artificial Intelligence in Accounting Market?6. What are the modes and strategic moves considered suitable for entering the Global Artificial Intelligence in Accounting Market?Read the full report: https://www.reportlinker.com/p05913257/?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.

__________________________

Original post:
The Global Artificial Intelligence in Accounting Market is expected to grow from USD 884.99 Million in 2019 to USD 4,779.11 Million by the end of 2025...

NEW YORK, July 22, 2020 /PRNewswire/ -- Artificial Intelligence in Healthcare Market Research Report by Offering (Hardware, Services, and Software), by Technology (Computer Vision, Context-Aware Computing, Machine Learning, Natural Language Processing, and Querying Method), by Application, by End User - Global Forecast to 2025 - Cumulative Impact of COVID-19

Read the full report: https://www.reportlinker.com/p05913261/?utm_source=PRN

The Global Artificial Intelligence in Healthcare Market is expected to grow from USD 2,598.93 Million in 2019 to USD 10,155.31 Million by the end of 2025 at a Compound Annual Growth Rate (CAGR) of 25.50%.

Market Segmentation & Coverage:

This research report categorizes the Artificial Intelligence in Healthcare to forecast the revenues and analyze the trends in each of the following sub-markets:

On the basis of Offering, the Artificial Intelligence in Healthcare Market is studied across Hardware, Services, and Software. The Hardware further studied across Memory, Network, and Processor. The Services further studied across Deployment & Integration and Support & Maintenance.

On the basis of Technology, the Artificial Intelligence in Healthcare Market is studied across Computer Vision, Context-Aware Computing, Machine Learning, Natural Language Processing, and Querying Method.

On the basis of Application, the Artificial Intelligence in Healthcare Market is studied across Clinical Trial Participant Identifier, Cybersecurity, Drug Discovery, Emergency Room & Robot-Assisted Surgery, Fraud Detection, Healthcare Assistance Robots, Inpatient Care & Hospital Management, Lifestyle Management & Monitoring, Medical Imaging & Diagnostics, Patient Data and Risk Analysis, Precision Medicine, Research, Virtual Assistant, and Wearables.

On the basis of End User, the Artificial Intelligence in Healthcare Market is studied across Healthcare Payers, Hospitals and Providers, Patients, and Pharmaceutical and Biotechnology Companies.

On the basis of Geography, the Artificial Intelligence in Healthcare Market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas region is studied across Argentina, Brazil, Canada, Mexico, and United States. The Asia-Pacific region is studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, South Korea, and Thailand. The Europe, Middle East & Africa region is studied across France, Germany, Italy, Netherlands, Qatar, Russia, Saudi Arabia, South Africa, Spain, United Arab Emirates, and United Kingdom.

Company Usability Profiles:The report deeply explores the recent significant developments by the leading vendors and innovation profiles in the Global Artificial Intelligence in Healthcare Market including Amazon Web Services, General Electric Company, Google, IBM, Intel, Medtronic, Micron Technology, Microsoft, NVIDIA, and Siemens Healthineers.

FPNV Positioning Matrix:The FPNV Positioning Matrix evaluates and categorizes the vendors in the Artificial Intelligence in Healthcare Market on the basis of Business Strategy (Business Growth, Industry Coverage, Financial Viability, and Channel Support) and Product Satisfaction (Value for Money, Ease of Use, Product Features, and Customer Support) that aids businesses in better decision making and understanding the competitive landscape.

Competitive Strategic Window:The Competitive Strategic Window analyses the competitive landscape in terms of markets, applications, and geographies. The Competitive Strategic Window helps the vendor define an alignment or fit between their capabilities and opportunities for future growth prospects. During a forecast period, it defines the optimal or favorable fit for the vendors to adopt successive merger and acquisition strategies, geography expansion, research & development, and new product introduction strategies to execute further business expansion and growth.

Cumulative Impact of COVID-19:COVID-19 is an incomparable global public health emergency that has affected almost every industry, so for and, the long-term effects projected to impact the industry growth during the forecast period. Our ongoing research amplifies our research framework to ensure the inclusion of underlaying COVID-19 issues and potential paths forward. The report is delivering insights on COVID-19 considering the changes in consumer behavior and demand, purchasing patterns, re-routing of the supply chain, dynamics of current market forces, and the significant interventions of governments. The updated study provides insights, analysis, estimations, and forecast, considering the COVID-19 impact on the market.

The report provides insights on the following pointers:1. Market Penetration: Provides comprehensive information on sulfuric acid offered by the key players2. Market Development: Provides in-depth information about lucrative emerging markets and analyzes the markets3. Market Diversification: Provides detailed information about new product launches, untapped geographies, recent developments, and investments4. Competitive Assessment & Intelligence: Provides an exhaustive assessment of market shares, strategies, products, and manufacturing capabilities of the leading players5. Product Development & Innovation: Provides intelligent insights on future technologies, R&D activities, and new product developments

The report answers questions such as:1. What is the market size and forecast of the Global Artificial Intelligence in Healthcare Market?2. What are the inhibiting factors and impact of COVID-19 shaping the Global Artificial Intelligence in Healthcare Market during the forecast period?3. Which are the products/segments/applications/areas to invest in over the forecast period in the Global Artificial Intelligence in Healthcare Market?4. What is the competitive strategic window for opportunities in the Global Artificial Intelligence in Healthcare Market?5. What are the technology trends and regulatory frameworks in the Global Artificial Intelligence in Healthcare Market?6. What are the modes and strategic moves considered suitable for entering the Global Artificial Intelligence in Healthcare Market?

Read the full report: https://www.reportlinker.com/p05913261/?utm_source=PRN

About Reportlinker ReportLinker 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.

Contact Clare: [emailprotected] US: (339)-368-6001 Intl: +1 339-368-6001

SOURCE Reportlinker

http://www.reportlinker.com

More here:
Artificial Intelligence in Healthcare Market Research Report by Offering, by Technology, by Application, by End User - Global Forecast to 2025 -...

Luna by iUNU is a greenhouse AI platform using aerial robots on tracks that scan the entire production area several times a day using computer vision.Photo courtesy of Sunrise Greenhouses

With todays automated climate-control systems, managing the greenhouse environment and its systems has never been easier. The management of all equipment under one system, including heating, venting, and irrigation, provides optimal efficiency and precision in terms of systems management and data collection.

The development of these technologies allows growers to be more focused on their crops and provides control at their fingertips. Digital parameters are defined by crop level observations, which represent the modern-day dynamic between plants, the grower, and technology.

Increasing development of artificial intelligence (AI) has allowed the greenhouse sector to further improve efficiency and precision, thereby changing that dynamic. Thanks to the work of researchers and private companies, AI is allowing plants to communicate directly with climate-control systems, as well as the grower. It notifies them when there are issues within the crop relating to growth rate, pests, and disease. AI is not only helping growers identify when there is a problem, it is also predicting long-term effects of the issue via harvest forecasting.

Who Is Developing AI for the Greenhouse?

Wageningen University and Research (WUR) is one of the academic institutions leading the way in the development of AI-controlled cultivation. In 2018, WUR hosted an autonomous growing competition where Microsoft took first place over several other teams, including a team of Dutch growers.

A host of private companies including Motorleaf, LetsGrow.com, and Illumitex already have commercially available platforms. Sunrise Greenhouses has been an early adopter of the technology, integrating AI in two areas of its production. The decision to start using AI was driven by the desire for improved efficiency and to help manage skilled labor shortages by expanding employee capacity.

The first system, Luna by iUNU, is a greenhouse AI platform using aerial robots on tracks that scan the entire production area several times a day using computer vision. Images are uploaded for analysis using algorithms customized to production requirements and translated for access on any device. Historical data is used to identify anomalies within the crop, alerting the grower or the climate-control system and providing an unprecedented level of oversight.

The second technology, Watchdog by Bold Robotic Solutions, is a production line AI system developed to monitor equipment for production issues and efficiency. Watchdog is currently installed on our potting line, monitoring pots moving from the potting machine to the tagger, transplanter, and placing robots. The system provides visual and audible alarms for issues such as an empty pot dispenser or pots that have fallen over. A series of sensors also allows the system to observe patterns and make timing corrections by controlling the equipment, thus removing repetitive corrective burdens from the operator.

What Are the Challenges?

In the upcoming years, there is no doubt the role AI will play in the evolution of the greenhouse industry. That being said, these game-changing technologies will not come without challenges, specifically during the early years of technology adoption.

While both solutions have different functions, they are based on the same self-learning technology that uses neural networks and machine learning. Like us, it takes time for the systems to learn patterns and crop cycles. As a seasonal grower with product cycles of up to two years in duration, patience is necessary. It takes time to collect the data for these systems to work and learn.

Greenhouse environments are also challenging for technology implementation due to broad temperature and humidity ranges, which influence both the electronic and mechanical components that contribute to their ongoing development. This can be a frustration for staff trying to complete their weekly plans.

AI solutions for greenhouse growers are still in their initial phases of development and have been mostly implemented by early adopters. As more players in the industry move toward the latest greenhouse technologies, we can expect the number of out-of-the-box AI solutions on the market to increase. For now, AI adopters will likely require some patience as the product learns the intricacies specific to their growing environment before it produces state-of-the-art results.

How Are Staff Trained?

The integration of these systems requires changes to processes, which can be disruptive to production, so flexibility and managing expectations is important among staff. When identifying new equipment, we involve staff in the process. When staff understand what we are trying to accomplish and can provide input, the transition is generally much smoother. People are more willing to adapt when they understand how the technology will make their lives easier. That said, providing people with training and, more importantly, ongoing support is key to the successful integration of these new technologies into your business.

The high level of granularity in digital crop surveillance can save money through early identification of problems related to pests, disease, moisture management, and climate. Photo courtesy of Sunrise Greenhouses

What Are the Benefits?

Having systems that continuously monitor equipment and cultivation allows staff to focus on less redundant tasks, which improves efficiency and the experience and quality of work. The high level of granularity in terms of crop surveillance has saved money due to the early identification of problems related to pests, disease, moisture management, and climate. This allows issues to be dealt with before they proliferate.

Working with iUNU, both our Production Manager and Sales Manager can access inventory in real-time, which has uncoupled departments in our facility that were previously dependent on one another for decision making. This is just one example of the increase in efficiency we are seeing as a result of these technologies.

Facilities that are focused on crop yields, such as vegetable growers, can benefit from AI developed by companies like Motorleaf, who offer yield-predicting products. They consider variables such as historical weather forecasts, nutrient ratios, daily temperatures, and humidity levels. These products train themselves to predict harvest yields with accuracies that are far superior to what is achieved by traditional forecasting methods.

Lee Fisher is the Innovations Manager at Sunrise Greenhouses Ltd., a 250,000 square-foot ornamentals operation in Vineland Station, Ontario, Canada. His background is in computer software engineering, as well as integrated pest management. See all author stories here.

Read the original:
Why Its Time to Start Using Artificial Intelligence in Your Greenhouse - Greenhouse Grower

SAN JOSE, Calif., July 23, 2020 /PRNewswire/ --Nagarro, a global leader in digital engineering and technology solutions, announced the launch of AI-powered solutions to help organizations kick-start work and life amid the COVID-19 crisis. Based on machine vision technology, these solutions provide powerful workplace interventions quickly and effectively, and have the potential to transform how we work and interact by ensuring better health and safety of employees and visitors.

Nagarro's COVID-AI suite of solutions is designed to leverage state-of-the-art AI models running on low-cost edge devices and can be deployed at scale in a matter of weeks, with very little overhead. It has mechanisms to ensure social distancing behaviour, encourage PPE practices such as wearing masks, and monitor as well as mitigate high risk scenarios such as large collections of people.

Nagarro's COVID-AI suite of solutions includes:

"As the world grapples with COVID-19, every ounce of technological innovation and ingenuity harnessed to fight this pandemic brings us one step closer to overcoming it. AI and ML are playing a key role in better understanding and addressing the COVID-19 crisis, " said Anurag Sahay, VP & Global Head - AI & Data Sciences, Nagarro. "Organizations, businesses and establishments are finding new ways to operate effectively. At Nagarro, we are using AI powerfully to help bring some of these interventions in place. We believe that machine vision-based AI platforms have significant potential to transform how we work and live during the new normal."

Nagarro recently conducted a webinar highlighting how the COVID-AI suite of solutions can help organizations accelerate the adaptation to the new normal. To view the webinar recording, click here https://www.nagarro.com/webinar/ai-to-the-rescue-during-covid

Write to [emailprotected] for more information about Nagarro COVID-AI solutions.

About Nagarro

Nagarro drives technology-led business breakthroughs for industry leaders and challengers. When our clients want to move fast and make things, they turn to us. Today, we are more than 7,000 experts across 22 countries. Together we form Nagarro, the global services division of Munich-based Allgeier SE.

Contact:

Megha Jha [emailprotected]

SOURCE Nagarro

See the original post:
Nagarro launches machine vision-based artificial intelligence solutions that mitigate COVID-19 risks and enhance workplace safety - PRNewswire

The Railways will soon roll out a revamped version of the IRCTC website making it faster and easier to book tickets, an official said.

We are going to completely revamp our passenger reservation portal IRCTC. The final testing is going on and it will roll out sometime in August. This will have many more facilities. This will have easy access and it will reduce the time taken by the passenger to book a ticket, Railway Board Chairman VK Yadav said on Thursday.

Mr. Yadav said the portal will have Artificial Intelligence capabilities integrated into it. When passengers book the ticket, based on the analysis of the past data, the AI feature will be able to forecast the chances of reservation confirmation. It can also suggest options for the routes.

The Chairman said the Railways have finalised the contract for offering content-on-demand onboard the train. However, the roll out has been delayed due to COVID-19 and will be rolled out immediately when the normalcy returns.

Mr. Yadav said a zero-based time-table, meaning that the schedule and frequency of all time-tabled trains will be revised, is being prepared. We have been working on this system for more than six months and have associated some external consultants also, some simulation going on... We are analysing a lot of data and trying to ascertain the traffic demand and how the timetable should be fixed.

He said they also looking at introducing a hub and spoke model, where long distance trains will be connected with several short distance ones at important stations. We are also working on a system where the passenger can buy only one ticket to travel by two trains...for that it is very necessary that all trains run punctually. We will make our best so that there is no discomfort or inconvenience to any segment or passenger, he said

Mr. Yadav said the Railways have met the demands of States for Shramik specials and the last one was run on July 9. The Railways have run 4,615 such trains since May 1, ferrying over 63 lakh people.

You have reached your limit for free articles this month.

To get full access, please subscribe.

Already have an account ? Sign in

Show Less Plan

Find mobile-friendly version of articles from the day's newspaper in one easy-to-read list.

Move smoothly between articles as our pages load instantly.

Enjoy reading as many articles as you wish without any limitations.

A one-stop-shop for seeing the latest updates, and managing your preferences.

A select list of articles that match your interests and tastes.

We brief you on the latest and most important developments, three times a day.

*Our Digital Subscription plans do not currently include the e-paper ,crossword, iPhone, iPad mobile applications and print. Our plans enhance your reading experience.

Read the rest here:
Railways to revamp the IRCTC website with Artificial Intelligence feature - The Hindu

New York, July 23, 2020 (GLOBE NEWSWIRE) -- Reportlinker.com announces the release of the report "Artificial Intelligence Chipset Market Research Report by Technology, by Hardware, by Industry - Global Forecast to 2025 - Cumulative Impact of COVID-19" - https://www.reportlinker.com/p05913256/?utm_source=GNW

On the basis of Technology, the Artificial Intelligence Chipset Market is studied across Computer Vision, Context-Aware Computing, Machine Learning, and Natural Language Processing.

On the basis of Hardware, the Artificial Intelligence Chipset Market is studied across Memory, Network, and Processor.

On the basis of Industry, the Artificial Intelligence Chipset Market is studied across Agriculture, Automotive, Fintech, Healthcare, Human Resources, Law, Manufacturing, Marketing, Retail, and Security. The Agriculture further studied across Agricultural Robots, Drone Analytics, Livestock Monitoring, and Precision Farming. The Automotive further studied across Autonomous Driving, HumanMachine Interface, and Semiautonomous Driving. The Fintech further studied across Business Analytics and Reporting, Customer Behavior Analytics, and Virtual Assistant. The Healthcare further studied across Drug Discovery, Inpatient Care & Hospital Management, Lifestyle Management & Monitoring, Medical Imaging & Diagnostics, Patient Data & Risk Analysis, Precision Medicine, Research, Virtual Assistant, and Wearables. The Human Resources further studied across Applicant Tracking & Assessment, Employee Engagement, Personalized Learning and Development, Resume Analysis, Scheduling Group Meetings and Interviews, Sentiment Analysis, and Virtual Assistant. The Law further studied across Case Prediction, Compliance, Contract Analysis, Ediscovery, and Legal Research. The Manufacturing further studied across Field Services, Material Movement, Predictive Maintenance and Machinery Inspection, Production Planning, Quality Control, and Reclamation. The Marketing further studied across Analytics Platform, Content Curation, Dynamic Pricing, Sales & Marketing Automation, Search Advertising, Social Media Advertising, and Virtual Assistant. The Retail further studied across Customer Relationship Management, Payment Services Management, Price Optimization, Product Recommendation and Planning, Supply Chain Management and Demand Planning, Virtual Assistant, and Visual Search. The Security further studied across Antivirus or Antimalware, Data Loss Prevention, Encryption, Identity and Access Management, Intrusion Detection or Prevention Systems, Risk and Compliance Management, and Unified Threat Management.

On the basis of Geography, the Artificial Intelligence Chipset Market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas region is studied across Argentina, Brazil, Canada, Mexico, and United States. The Asia-Pacific region is studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, South Korea, and Thailand. The Europe, Middle East & Africa region is studied across France, Germany, Italy, Netherlands, Qatar, Russia, Saudi Arabia, South Africa, Spain, United Arab Emirates, and United Kingdom.

Company Usability Profiles:The report deeply explores the recent significant developments by the leading vendors and innovation profiles in the Global Artificial Intelligence Chipset Market including 11.1.2 Intel, 11.1.3 Xilinx, Advanced Micro Devices, Inc., Amazon Web Services, Fujitsu Ltd., General Vision, Google LLC, Graphcore, Huawei Technologies, IBM Corporation, Mellanox Technologies, Micron Technology, Microsoft Corporation, Nvidia Corporation, Qualcomm Technologies, and Samsung Electronics.

FPNV Positioning Matrix:The FPNV Positioning Matrix evaluates and categorizes the vendors in the Artificial Intelligence Chipset Market on the basis of Business Strategy (Business Growth, Industry Coverage, Financial Viability, and Channel Support) and Product Satisfaction (Value for Money, Ease of Use, Product Features, and Customer Support) that aids businesses in better decision making and understanding the competitive landscape.

Competitive Strategic Window:The Competitive Strategic Window analyses the competitive landscape in terms of markets, applications, and geographies. The Competitive Strategic Window helps the vendor define an alignment or fit between their capabilities and opportunities for future growth prospects. During a forecast period, it defines the optimal or favorable fit for the vendors to adopt successive merger and acquisition strategies, geography expansion, research & development, and new product introduction strategies to execute further business expansion and growth.

Cumulative Impact of COVID-19:COVID-19 is an incomparable global public health emergency that has affected almost every industry, so for and, the long-term effects projected to impact the industry growth during the forecast period. Our ongoing research amplifies our research framework to ensure the inclusion of underlaying COVID-19 issues and potential paths forward. The report is delivering insights on COVID-19 considering the changes in consumer behavior and demand, purchasing patterns, re-routing of the supply chain, dynamics of current market forces, and the significant interventions of governments. The updated study provides insights, analysis, estimations, and forecast, considering the COVID-19 impact on the market.

The report provides insights on the following pointers:1. Market Penetration: Provides comprehensive information on sulfuric acid offered by the key players2. Market Development: Provides in-depth information about lucrative emerging markets and analyzes the markets3. Market Diversification: Provides detailed information about new product launches, untapped geographies, recent developments, and investments4. Competitive Assessment & Intelligence: Provides an exhaustive assessment of market shares, strategies, products, and manufacturing capabilities of the leading players5. Product Development & Innovation: Provides intelligent insights on future technologies, R&D activities, and new product developments

The report answers questions such as:1. What is the market size and forecast of the Global Artificial Intelligence Chipset Market?2. What are the inhibiting factors and impact of COVID-19 shaping the Global Artificial Intelligence Chipset Market during the forecast period?3. Which are the products/segments/applications/areas to invest in over the forecast period in the Global Artificial Intelligence Chipset Market?4. What is the competitive strategic window for opportunities in the Global Artificial Intelligence Chipset Market?5. What are the technology trends and regulatory frameworks in the Global Artificial Intelligence Chipset Market?6. What are the modes and strategic moves considered suitable for entering the Global Artificial Intelligence Chipset Market?Read the full report: https://www.reportlinker.com/p05913256/?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.

__________________________

Go here to read the rest:
The Global Artificial Intelligence Chipset Market is expected to grow from USD 7,895.13 Million in 2019 to USD 47,965.34 Million by the end of 2025 at...

Latest updates on Artificial Intelligence (AI) in Automotive market, a comprehensive study enumerating the latest price trends and pivotal drivers rendering a positive impact on the industry landscape. Further, the report is inclusive of the competitive terrain of this vertical in addition to the market share analysis and the contribution of the prominent contenders toward the overall industry.0

- With the dynamically changing technology landscape in the automotive sector, an increasing number of automobile manufacturers are focusing on integrating semi-autonomous and fully-autonomous technologies into their vehicles

Artificial Intelligence (AI) in Automotive market is projected to surpass USD 12 billion by 2026. The market growth is attributed to the steadily growing uptake of driver assistance technologies for increasing driving comfort and ensuring safe driving experience. Consumers are increasingly exhibiting a positive attitude toward AI-powered vehicle driving systems, creating new avenues for market growth. Automotive manufacturers are capitalizing on the steadily growing industry by introducing new features in their vehicles including automated parking, lane assistance, driver behavior monitoring, and adaptive cruise control. For instance, in October 2019, Toyota announced the launch of level-4 driver assistance systems for enabling automated valet parking in its upcoming cars. The technology is developed in conjunction with Panasonic and is built with inexpensive sensors, offering affordable parking assistance solutions to Toyota's customers.

Request Sample Copy of this Report @ https://www.cuereport.com/request-sample/24675

- Machine learning solutions are witnessing a sustained rise in adoption, enabling AI systems to predict and decide driving patterns in dense traffic. With vastly improved neural network technologies, machine learning can achieve near human driving behavior without external assistance.

Request Sample Copy of this Report @ https://www.cuereport.com/request-sample/24675

- Technology providers including NVIDIA, Intel, and AMD are continuously upgrading their solutions and offering energy-efficient hardware, enabling AI technologies with low power consumption

- Sophisticated onboard AI systems are providing real-time connectivity between vehicle & driver, enabling safe driving and reducing driver fatigue by suggesting resting periods & controlling car navigation during driver distraction

- The growing interest of government agencies in adopting autonomous mobility for reducing traffic accidents and improving traffic management is creating a positive outlook for the industry

- Some of the leading market players are Alphabet Inc., Audi AG, BMW AG, Daimler AG, Didi Chuxing, Ford Motor Company, General Motors Company, Harman International Industries, Inc., Honda Motor Co., Ltd., IBM Corporation, Intel Corporation, Microsoft Corporation, NVIDIA Corporation, Qualcomm Inc., Tesla, Inc., Toyota Motor Corporation, Uber Technologies, Inc., Volvo Car Corporation, and Xilinx Inc.

- AI platform providers are focusing on strategic collaboration and long-term contracts with automotive manufacturers to gain market share

The hardware segment held majority of the market with over 60% share in 2019 and is expected to continue its dominance over the forecast timespan. This is attributed to the increasing adoption of automotive AI components for implementation of AI solutions. Energy-efficient System-on-Chips (SoCs) and dedicated AI GPUs are assisting enterprises in deploying highly sophisticated onboard computers with robust computing power. In July 2019, Intel launched Pohoiki Beach, a new AI-enabled chip, which features 8 million neural networks and can reach up to 10,000 times faster computing speeds compared to traditional CPUs. Furthermore, the growing uptake of sensors including high-resolution cameras, LiDARs, and ultrasonic sensors for vehicle situational awareness is fueling the growth of AI hardware.

The context awareness segment is anticipated to register an impressive growth with a CAGR of over 35% from 2019 to 2026 due to the rapid proliferation of driver assistance solutions and semi-automated cruise control. Context awareness systems provide situational intelligence through multi-sensory input and enable onboard computers to detect & classify on-road entities including pedestrians, traffic, and road infrastructure. Customers are reaping the benefits of context-awareness systems by deploying effective navigation assistance, which enables safe driving even during driver distraction. Major technology companies are investing in innovative automotive technologies including context awareness. For instance, in November 2016, Intel announced an investment of USD 250 million in autonomous driving technology. This investment was focused on key technologies such as context awareness, deep learning, security, and connectivity.

The image/signal recognition segment held majority of the market with over 65% share in 2019 due to the growing importance of vehicle speed control for reducing on-road accidents. Image/signal recognition technologies can detect traffic signs & speed limit indicators and reduce the vehicle speed accordingly without human intervention. The technology is also expected to grow significantly as several government initiatives are promoting traffic sign recognition to ensure adherence to speed limits. In March 2019, the European Commission made it mandatory for all vehicles manufactured from 2022 to have built-in image/signal recognition capabilities. This is expected to reduce rash driving, over-speeding, and promote on-road safety.

The semi-autonomous vehicles segment will grow at an impressive CAGR of over 38% by 2026 due to the extensive demand for Advanced Driver Assistance Systems (ADAS) and facilitating driving during heavy traffic scenarios. Semi-autonomous technologies have already been commercialized and are expected to gain significant market proliferation over the forecast timespan. Major automotive manufacturers, such as Chrysler, Audi, and Ford, have started integrating semi-autopilot and drive cruise control technologies into their latest models. Driver behavior monitoring, road condition awareness, and lane tracking are a few of the innovative solutions that have been introduced through the implementation of AI technologies in semi-autonomous vehicles. Furthermore, supporting initiatives from various governments to incorporate semi-autonomous vehicle technologies by 2022 will positively impact industry growth.

Europe held majority of the market with over 35% share in 2019 due to the growing demand for autonomous technologies in the region. Presence of several industry leaders including BMW, Audi, Mercedes, Daimler, and Bentley accelerated the advancements in autonomous mobility including several successful trial runs of level-5 autonomous vehicles. The increasing focus of automotive manufacturers on AI technologies, especially in Germany and the UK is driving the adoption of AI across the Europe automotive sector. Supportive initiatives from the government to adopt AI for smart traffic control has propelled the development of automotive AI solutions. In 2017, the UK government invested more than USD 75 million for the development of AI solutions and improved mobility.

Companies operating in AI in automotive market are focusing on various business growth strategies including investments in autonomous mobility solutions, strengthening partner network, and expanding R&D activities. Through such strategic moves, companies are trying to gain a broader market share and maintain their leadership in the market. For instance, in September 2019, Daimler partnered with Torc Robotics, an automated mobility firm, to design and develop level-4 autonomous trucks. Under the partnership, the companies are jointly testing autonomous trucks in the U.S. and focusing on evolving automated driving for heavy-duty vehicles.

Major Highlights from Table of contents are listed below for quick lookup into Artificial Intelligence (AI) in Automotive Market report

Chapter 1. Methodology and Scope

Chapter 2. Executive Summary

Chapter 3. Artificial Intelligence (AI) in Automotive Industry Insights

Chapter 4. Company Profiles

Request Customization on This Report @ https://www.cuereport.com/request-for-customization/24675

View post:
Artificial Intelligence (AI) in Automotive - Market Share Analysis and Research Report by 2025 - CueReport

Global Artificial Intelligence (AI) Consulting Market report is a meticulous comprehensive analysis of this marketplace which provides access to direct firsthand insights on the expansion path of marketplace at near term and long term. On the grounds of factual advice sourced from real industry pros and extensive main business study, the report provides insights about the historical growth pattern of Artificial Intelligence (AI) Consulting Market and present market situation. It then provides brief and long-term market development projections.

Projections are only based on the comprehensive analysis of essential Market dynamics which are predicted to affect Artificial Intelligence (AI) Consulting Market performance and also their seriousness of influencing market growth within the span of assessment interval.

Get PDF Sample Copy of this Report to understand the structure of the complete report: (Including Full TOC, List of Tables & Figures, Chart) @ https://www.researchmoz.com/enquiry.php?type=S&repid=2725411&source=atm

Along with evaluation of dynamics, the report supplies In-depth evaluation of key business trends that are anticipated to behave more prominently in global Artificial Intelligence (AI) Consulting Market. The analysis also provides valued information concerning the present and forthcoming growth opportunities in Artificial Intelligence (AI) Consulting Market the important players and new market entrants can capitalize on.

Competitive Businesses And Players in global market

segment by Type, the product can be split intoStrategy DevelopmentStrategy ExecutionCommercial Due DiligenceCustomer Training

Market segment by Application, split intoTechnology ConsultingManagement Consulting

Based on regional and country-level analysis, the Artificial Intelligence (AI) Consulting market has been segmented as follows:North AmericaUnited StatesCanadaEuropeGermanyFranceU.K.ItalyRussiaNordicRest of EuropeAsia-PacificChinaJapanSouth KoreaSoutheast AsiaIndiaAustraliaRest of Asia-PacificLatin AmericaMexicoBrazilMiddle East & AfricaTurkeySaudi ArabiaUAERest of Middle East & Africa

In the competitive analysis section of the report, leading as well as prominent players of the global Artificial Intelligence (AI) Consulting market are broadly studied on the basis of key factors. The report offers comprehensive analysis and accurate statistics on revenue by the player for the period 2015-2020. It also offers detailed analysis supported by reliable statistics on price and revenue (global level) by player for the period 2015-2020.The key players covered in this studyIBMMckinsey & CompanyBoston Consulting Group (BCG)Bain GlobalGoogleElement AIPalantirTryolabsLeaderGPUAddo AI

Do You Have Any Query Or Specific Requirement? Ask to Our Industry [emailprotected] https://www.researchmoz.com/enquiry.php?type=E&repid=2725411&source=atm

Opportunity evaluation provided in the Artificial Intelligence (AI) Consulting Market report Is important concerning understanding the profitable regions of investment, which are the technical insights for major market players, providers, vendors, and other stakeholders in Artificial Intelligence (AI) Consulting Market.

Report offers detailed insights about each of the market sections and their sub-segments, which can be categorized based on par various parameters. An exhaustive regional evaluation of Global Artificial Intelligence (AI) Consulting Market divides Global marketplace landscape into essential geographies.

Regional prognosis and country-wise evaluation of Artificial Intelligence (AI) Consulting Market Allows for the analysis of multi-faceted operation of marketplace in all of the crucial markets. This advice plans to provide a wider reach of report to readers and establish the most applicable profitable areas in global market place.

Taxonomy and geographic analysis of the Global Artificial Intelligence (AI) Consulting Market empowers readers to see profits in present chances and catch forthcoming growth chances even until they approach the market location. The study given in report is only meant to unroll the economical, societal, regulatory and political situations of this marketplace specific to each area and nation, which might help prospective market entrants in Artificial Intelligence (AI) Consulting Market landscape to comprehend the nitty-gritty of target market regions and invent their plans accordingly.

You can Buy This Report from Here @ https://www.researchmoz.com/checkout?rep_id=2725411&licType=S&source=atm

Major TOC Covered In this Report are:

View post:
Artificial Intelligence (AI) Consulting Market size and Key Trends in terms of volume and value 2019-2025 - Jewish Life News