Tag Archives: artificial intelligence

Artificial Intelligence in Transportation Market Report Forecast by Opportunities, Market Outlook, Capital Investment & Trends 2030

The ****** Artificial Intelligence in Transportation Market by Machine Learning (Deep Learning, Computer Vision, Context Awareness, NLP), Application (Semi & Full-Autonomous, HMI, Platooning), Offering (Hardware, Software), Process, and Region – ****** Forecast to 2030″,The artificial intelligence in transportation market is projected to grow at a CAGR of 17.87% during the forecast period, and the market size is expected to grow from USD 1.21 Billion in 2017 to USD 10.30 Billion by 2030.

Key Players of Artificial Intelligence in Transportation Market

Artificial Intelligence in Transportation Market Analysis, manufactures, Types, Applications, Regions & Forecast up to 2030

According to the market research report Artificial Intelligence in Transportation Market by Machine Learning (Deep Learning, Computer Vision, Context Awareness, NLP), Application (Semi & Full-Autonomous, HMI, Platooning), Offering (Hardware, Software), Process, and Region – ****** Forecast to 2030″,The artificial intelligence in transportation market is projected to grow at a CAGR of 17.87% during the forecast period, and the market size is expected to grow from USD 1.21 Billion in 2017 to USD 10.30 Billion by 2030.

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Key Players of Artificial Intelligence in Transportation Market

Artificial Intelligence Solutions for Trading Bot

Artificial intelligence is the one that comes to our mind when we think of the future. The automated robotics, implemented with AI will do tasks that would be time-consuming, allowing us to work on other things.

 

Normally, trading involves the prediction of the market by analyzing the models of how it reacted previously. While humans remain a big part of the trading equation, there are several ways to do trading. AI plays an increasingly significant role that streamlines the process of what we should trade and when. The perfect trading bots uses machine learning to forecast what may happen in the future by using algorithmic trading, that trades based on a programmed set of rules.

Artificial Intelligence in Transportation Market Analysis 2017-2030: Key Findings, Regional Analysis, Key Players

MarketsandMarkets’ research report, Artificial Intelligence in Transportation Market is projected to grow at a CAGR of 17.87% during the forecast period from 2017 to 2030, and the market size is expected to grow from USD 1.21 billion in 2017 to USD 10.30 billion by 2030. The development of autonomous vehicles and industry-wide standards to implement safety features such as the adaptive cruise control (ACC), collision warning, lane-keep assist, and advanced driver assistance systems (ADAS) would trigger the growth of the artificial intelligence in transportation market.

The transportation industry is currently going through a major phase of evolution with the introduction of autonomous trucks application. Autonomous trucks are self-driven vehicles that are capable of sensing the environment and navigate to the destination without any human intervention. Also, these vehicles can be operated through voice commands. The artificial intelligence and machine learning technologies such as deep learning, computer vision, context awareness, and natural language processing will be the key growth drivers for the development of autonomous trucks. An autonomous truck may prove to be the next big evolution in transportation. Several major companies such as Volvo, Daimler, Scania, and DAF are developing and testing autonomous trucks. For a truck to be completely autonomous, many systems such as camera, radar sensors, and GPS must collaborate to provide a safe ride. Software companies such as NVIDIA, Intel, and Google are also focusing on the development of software for autonomous trucks. The governments of different countries are also making efforts toward autonomous operations. The NHTSA has mandated the use of rearview cameras in vehicles in the US. On 13th July 2009, the European Parliament made blind spot detection systems mandatory for all trucks to improve vehicle safety.

Artificial Intelligence in Transportation Market: Clear Understanding of the Competitive Landscape and Key Product Segments

Artificial Intelligence in Transportation Market by Machine Learning (Deep Learning, Computer Vision, Context Awareness, NLP), Application (Semi & Full-Autonomous, HMI, Platooning), Offering (Hardware, Software), Process, and Region – ****** Forecast to 2030.

The artificial intelligence in transportation market is projected to grow at a CAGR of 17.87% during the forecast period, and the market size is expected to grow from USD 1.21 Billion in 2017 to USD 10.30 Billion by 2030.

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Get 20% Discount on ****** Smart Manufacturing Industry 4.0 (2018-2023)

Bharat Book Bureau Provides 20% Discount on “****** Smart Manufacturing Industry 4.0 (2018-2023)” Valid till 31st Oct, 18. The report offers a collection of superior market research, market analysis, competitive intelligence and industry reports.

 ****** Smart Manufacturing Industry 4.0 

Industry 4.0 is the new era of Industrial Revolution, which has transformed the manufacturing arena by collaborating Information Technology such as Big Data, Cloud Computing with robotics and physical machinery and human resource. Automation is replacing human effort and involvement through powerful machinery and programming commands. The ****** Industry 4.0 market is expected to grow at a CAGR of 15.75% (2018-2023) leading to ****** revenue of USD 648.93 billion by 2023.

Artificial Intelligence in Military Market: Rising Demand for Information Processing Leading to the Growth of Big Data Analytics

According to study Artificial Intelligence in Military Market by Offering (Software, Hardware, Services), Technology (Learning & Intelligence, Advanced Computing, AI Systems), Application (Information Processing, Cyber Security), Platform, Region – ****** Forecast to 2025″, The Artificial Intelligence in Military Market is estimated to be USD 6.26 Billion in 2017 and is projected to reach USD 18.82 Billion by 2025, at a CAGR of 14.75% from 2017 to 2025.  Increasing investment towards the development of AI integrated systems and rising adoption of cloud-based applications are key factors projected to drive the growth of the artificial intelligence in military market.

Artificial Intelligence Keynote Speaker Edgar Perez Hails UK Steps to Best US and China on Tech Race

Throughout history, there have been moments when the progress of technology has taken great steps forward, when a combination of the right tools, a capacity for innovation, and sparks of ingenuity lead to breakthroughs that transform how we live our lives. Executives in Kuala Lumpur, London, Mumbai, Abu Dhabi, Singapore, Mexico City and Hong Kong will acquire a comprehensive understanding of these technology trends and how they will impact business and society with Artificial Intelligence author and keynote speaker Edgar Perez.

AllyO Hosts a Free Webinar on A.I. in Recruiting

AllyO will be hosting a free webinar on “AI and its role in recruiting”. The webinar will define AI and discuss its role in recruiting using real life examples.

Sunnyvale, CA, United States., June 26, 2018 — AllyO, a Silicon Valley based AI technology company will be hosting a free webinar on “AI and its role in recruiting.” The webinar is scheduled for June 27, 2018 at 12-12:45pm. They will demystify AI, discuss its role in recruiting and share tips to plan and AI adoption journey.

Go Quantum Today in Kuala Lumpur, Seoul, Abu Dhabi, Stockholm, London, Singapore, HK and Mexico City

The Quantum Computing Workshop for Today’s Strategic Leaders will help CEOs from chemical manufacturers and pharmaceutical companies to oil and gas conglomerates, from aerospace and defense to financial services firms to put Quantum Computing in the works in Kuala Lumpur, Seoul, Abu Dhabi, Stockholm, London, Singapore, Hong Kong and Mexico City.

New York City, NY, USA — Today’s computing machinery, which has brought incredible technological innovations over the past decades, still relies on calculations with 1s and 0s, even if the devices are orders of magnitude smaller than the stadium-sized systems of the previous century. Quantum Computing (QC), computing technology’s next generation, holds the promise of new machines operating at one million times the speed of current computers, allowing scientists, for example, to model complex molecular interactions at an atomic level.