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terminusgroup · 5 years ago

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AI CITY Will Pave the Way For the Cities of Tomorrow

Cities often represent growth in mankind’s collective wisdom. The goal of every great city is to be built with the highest quality resources available and make use of the newest and most innovative technologies.

In the ancient city of Rome in the 1st century AD, the use of early hydro technologies allowed the population to flourish. Hydro power was one of the most widely used examples, generating mechanical energy through massive waterwheels. Furthermore, a highly developed water supply and drainage system provided ample clean water every day. They would collect the water and store it in large reservoirs by redirecting subsurface water from nearby rivers and lakes into artificial channels called ‘aqueducts’. This system was so effective that their water supply actually exceeded population demand. It was able to support households, gardening, water shows, mill grinding and the great Roman fountains we still see in use today. The Romans could even use the waterways as escape routes or in complex military strategies.

These innovations were magnificent. They laid the foundation for the incredibly rich, vibrant cities we live in today. Over 2,000 years later, our idea of innovation has shifted. Instead of aqueducts, we are working with the invisible networks of 5G, big data, Internet of Things (IoT) and artificial intelligence (AI).

Let’s set the stage. Morning sunbeams stretch slowly over a city silhouette, as the light reaches out into every corner of this X-Tech city. The residential roads are bordered by lush greenery as dewdrops slide from the highest tree leaves down onto solar panel laden rooftops, then to their final resting place in the grass. There is a heartbeat - not just within the surrounding nature - but witihin the structures themselves. As the dewdrops fall, the solar panels adjust themselves, ever so slightly, so water can slide into the gutters and reach the plants below. As sunlight hits the houses, bedroom windows adjust their opacity to allow the natural light to wake sleepy residents. Once light has filled the room, an AI virtual housekeeper selects your breakfast, matches your outfit with the weather, and presents a full schedule of your day. After breakfast, you step into your intelligent, fully-automated vehicle, and begin your intercity commute cities browsing global market news - recommended by an algorithm, of course!

This is not some SciFi pipedream, but a glance at the plans for an upcoming AI CITY. As early as 1992, Singapore proposed an plan known as the "Intelligent Island" in an attempt to create a country powered by artificial intelligence and machine learning. Subsequently, the Korean government proposed the "U-Korea" strategy in 2004, hoping to use the Internet and wireless sensors to transform Korea into a smart society.

In 2008, IBM first proposed the "Smarter Planet” initiative, and then formally rolled out the concept of "Smarter Cities" in 2010. Since then, there has been momentum toward creating "smart cities" around the world.

In 2013, the Ministry of Industry and Information Technology of China led the establishment of the China Smart City Industry Alliance and planned to invest RMB 500 billion in the next few years to build smart cities. In 2015, the US government proposed a new smart city initiative to actively deploy smart grids, smart transportation and broadband.

Cities are effectively giant machines that must run 24/7. People need this machine in excellent working order every day to protect and transport people and resources for different purposes – big and small. These tasks range from keeping public order to repairing broken manhole covers. Smart cities seek to connect all these details of city life to the Internet and Cloud, applying IoT, AI, 5G, big data and other new ICT technologies to optimize operational efficiency of these giant machines.

The AI CITY is the next generation smart cities, and its scope is more sophisticated than merely connecting devices. The key innovation lies in the role of artificial intelligence in its infrastructure, which will allow devices to operate on their own. This will ultimately allow the city to better manage its people and resources.

Europe and the United States had an early start in the development of smart cities. In London, investments in smart city infrastructure such as the Internet of Things, big data, cloud computing, artificial intelligence and blockchain have reached GBP 1.3 trillion. These investments were largely used in building smart grids, smart streets, smart transportation and other municipal projects. As an example, let’s look at London’s West End. Using GIS, CAD and 3D virtual technology, the area has been transformed into a hub of data generating buildings. Around 45,000 buildings within an area of nearly 20 sq.km are now utilizing internet-connected, data-generating devices in the West End. It’s a prime example of an urban geo-information system offering optimized looks into landscape design, traffic control, sustainability, emergency management and more.

New York has also benefited from a smart urban technology. More specifically, the city implemented a smart grid project where Con Edison, an electricity utilities company, automated and upgraded more than one-third of New York’s power grid to prevent any single accident from causing damage to the entire grid.

Moving geographies, the number of smart city developments in the East have outpaced the West. Both Japan and South Korea have used smart city technology to focus on resource allocation in their most densely populated cities. Seoul has established an integrated transportation system that uses smart cameras in subways to obtain information on passenger volume, and adjust the speed and frequency of trains in real time accordingly. It also installed sensors to monitor important train components to proactively prevent malfunctions. In Yokohama, the Smart Environment Project has deployed a series of advanced energy management systems in households and commercial buildings to "visualize" energy. Solar power solutions and home energy management systems were installed which allowed crucial energy data to be displayed. Now municipal officials could track power generation, power consumption and power sales.

Currently, China enjoys the fastest development of smart cities and has the highest abundancy of smart communities and AI technology in the world. More than 40% of global smart city projects are currently under construction in China. In Chongqing, a metropolis in southwest China, Terminus - an innovator in artificial intelligence, internet of things, and robotics - is building a smart city with a total gross floor area of 2,500,000 sqm. The company plans to use its suite of AI and IoT technologies to upgrade the sustainability, operations and visitor experience of the city. It will also empower traditional industries with new ICT technologies to create the world's first model of an AI CITY which incorporates all types of businesses and diversified industrial chains.

The Catalyst for AI CITY Implementation: Competition among the World's Top Tech Companies

Although the government plays an important role in planning and building an AI CITY, the true drivers of smart city innovation are the world's top technology companies.

IBM, the first major player in the smart city space, applied different functional modules such as smart healthcare, smart transportation, smart education, smart energy, and smart telecommunication to hundreds of cities across the globe. It collected a large quantity of data and integrated it into the city's main operational management centers.

However, given that cloud computing and AI technologies were not salient during this period, IBM was not able to effectively roll out its “Smarter Cities” initiative. Its solutions were frequently turned down by municipal governments due to the immense investment costs overshadowing the benefits gained from the new technology.

As a world-renowned network provider, Cisco has developed another angle on smart cities. Instead of undertaking mammoth projects like integrating smart technology across entire cities, Cisco’s strategy focuses on establishing smaller smart communities and driving change from the bottom up. In Copenhagen, it helped the city become carbon neutral; in Hamburg, it played a role in establishing a fully digital network and IT strategy that enabled an integrated management of land and marine transportation.

Meanwhile, Siemens, a global leading industrial manufacturer, has been working on smart grid solutions to help cities optimize their energy storage. Centralizing their strategy around smart grids allows for meaningful connections between smart buildings, electric transportation, smart meters, power generation, etc. It allows the company to integrate and upgrade an existing system as opposed to building out an entirely new system from scratch. It is an effective way to test out the new IoT technologies without generating tremendous risk to the city’s existing infrastructure.

The AI CITY ecosystem in China has benefitted tremendously from these existing projects. Chinese companies have been able to learn from the development of these global projects and combine the existing frameworks with emerging technologies like 5G, big data, cloud computing, AI and intelligent hardware R&D. This has provided an edge when constructing new smart city projects domestically.

Terminus, a leading global smart service provider, is one company taking full advantage of this opportunity. Terminus aims to shape the next generation of technology with AI and IoT, and has emerged as an industry integrator, achieving full coverage from a suite of products from service robots and sensors to edge smart products, all the way to cloud platforms. Terminus’ AI CITY solution is scene-oriented. It utilises the company's many years of experience in the AIoT industry to bring solutions for social management, energy efficiency improvement, smart parks, cultural innovation and smart finance to communities and cities. It has implemented and maintained more than 8,000 smart scenes in 84 cities.

Terminus’ AI CITY smart solutions are used to enhance traditional offline spaces. Shopping malls, for example, have several areas where operational efficiency could be better optimized. Terminus’ smart solutions allow malls to find these optimal points by collecting multi-dimensional data related to people, goods, stores, and orders. Their solutions provide digital operational tools for each functional unit of the mall. This allows customers to have a more reliable and enjoyable shopping experience. As an added benefit, by tapping into rich data, the shopping mall is able to achieve higher sales conversion, higher per capita sales and higher inventory turnover.

Terminus’ intelligent fire protection solution tells another positive story in favour of developing smart technologies. Terminus is able to leverage artificial intelligence to create a system of automated fire prevention and control. It lowers risk to firefighters and law enforcement while increasing preventative measures for structure fires. Terminus uses GPS, GIS, BIM and other geographic location information systems to map firehouses and fire law enforcement units in real-time. As a result, responders can reach the scene more efficiently by triangulating the closest available units. This solution also provides tooling for conducting data queries, pulling statistics, general analysis, decision-making, and intelligent identification of fire origins. The information is stored in data warehouses which can be mined and analyzed as needed.

Unlike the bottom-up strategies that other technology companies have used to promote smart city construction, Terminus has taken a top-down approach for scaling their solutions. Terminus aims to build science and technology industry parks by integrating its industrial resources. It also aims to enrich and improve its solutions by exploring diverse use cases. By continuing to grow within local smart city operations, Terminus has seized an opportunity to shape core frameworks for future smart cities. It stands to profit from the growing demand for smart technologies, while also contributing to a more sustainable world.

What Else Can We Do to Find the Way to AI CITY

The map to a sustainable AI CITY is unfolding at an unprecedented rate. Two players will influence the continued development of smart cities: governments and industry-leading companies.

For governments, it is essential to support in the planning and development of an AI CITY. Most importantly, they must consider the opinions and well-being of their citizens. London is an excellent example. The Greater London Authority developed an online community called "Talk London" to provide a safe space for online discussion, voting, Q&A, surveys, and more to cover impactful topics ranging from private rental markets to the safety of cyclists around large trucks. This process allows London citizens to participate in government decision-making. As a result, the policies formulated by the government often more accurately reflect the real needs of its people. In comparison, Google's Toronto Smart City Plan was recently under fire as it went against the needs of the local residents.

In closing, it would seem industry-leading companies will be tasked with shouldering more social responsibility. There is a clear commitment from these entities to contribute to technological progress, cultivate highly skilled professionals, and grow their brand. However, there is a crucial role to be played in popularizing and building out legitimate use cases for these new cities. These companies must extend the range of their considerations beyond just technology to those that will be using it. Innovation comes with the innate responsibility to better the lives of people around the globe. If the smart city and AI CITY models can embrace this notion, the future will be brighter than ever before.

https://www.terminusgroup.com/ai-city-will-pave-the-way-for-the-cities-of-tomorr.html

#top #ai #cities #terminus #Group #Technologies

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bisonhillock · 7 years ago

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Ideas of Blockchain technology to reboost development in Armenis

In the wonderfully inspiring atmosphere of Tarcu Mountains, the Bison Hillock wilderness initiative hosted two days of intense brainstorming with the aim to refine a viable idea that would enable nature and sustainable development to work together more seamlessly, with using the unique features of blockchain technology: decentralisation, trust, transparency.

WWF Romania has met with Marcus Dap of ETH Zurich (Federal Technical University from Zurich), Toni Caradonna and Roman Eyholzer, both from Porini Foundation. To encourage an inquisitive atmosphere, the meeting was joined by one of the interns from the Bison Hillock Taskforce, Danne Milo van Ronne, and Gelu Stoicănescu, a recent graduate in Finance and Mathematics. WWF’s team included Oana Mondoc, the driver of innovative technologies within WWF Romania, joined by Green Economy Specialist Corina Gheorghiu and Alina Floroi, an external partner who gives a hand on cohesion within the tech project.

The session ended with a bison tracking experience led by ranger Daniel Hurduzeu. The group was especially lucky since participants were able to see bison, deer, bear, lynx and badger tracks on their way.

Following the bison tracks, they heard bison grunting in a glade. The ranger-guided everybody in the forest to go around the bison and look for a good angle to see them from afar. Some of the team managed to catch a glimpse of a group of about six bison and two calves before they ran away in the forest.

What does the work involve

Marcus and his team at ETH, including academics from around Europe are developing a new, nuanced and multifaceted financial incentive system to promote a circular, sharing economy and achieve social goals collaboratively. Porini Foundation is a road opener in bringing blockchain to the conservation world, having established the Sustainability Chain decentralised solution to take care of the natural worlds and other shared goals part of UN’s Sustainable Development Goals.

Blockchain technology enables the collaboration of large networks of people that don’t necessarily know each other. The key to blockchain technology is the fact that information in the system cannot be changed by a single player. The technology also allows people to easily reach a consensus.

The way blockchain technology can be a piece in the tech-nature platform developing in Armeniș has a lot to do with the need to activate groups of stakeholders to appreciate the importance of nature and understand that positive actions have an impact.

A lot of nature-related projects suffer from the lack of visualisation and understanding of their impact. This is especially a frustration for donors who want to know if the money donated by them has an effect.

How we see the future

WildAI [eye] envisions increasing the impact of wildlife monitoring, by designing an AI (artificial intelligence) system that contains small GPS trackers that can be attached to bison and large carnivores and other large mammals. This project is the launch-pad to produce cost-effective tools for large-scale wildlife monitoring adapted to the tricky terrain in the Carpathians. Automated data acquisition from the field will help create a system that enables accurate visualisation of the health of the ecosystem.

Blockchain can help align interests of wild landscapes and locals’ wellbeing and deliver a case where harmonious development that can provide wildlife protection. “Through resolving nature needs, we resolve social needs and vice versa”, was the vision expressed during the workshop.

The WildAI [eye] has set a 6-month milestone to reach MVP stage in the hardware tracking, GIS online platform and blockchain instruments

WildAI [eye] is WWF-Romania’s first pilot as a “Panda Lab”. Through Panda Labs, WWF works with technology, business, design, academia and conservation to develop new approaches to solving our planet's most stringent problems. Panda Lab is to become WWF Romania’s decentralised accelerator, a community for problem-solving aiming to attract partners and finance gradually.

Keep in touch with the developments by following us:

Facebook WWF Romania

Instagram

Twitter

Text: Alina Floroi

Photos: Alina Floroi, Toni Caradonna, Oana Mondoc

#bisonhillocklive #magurazimbrilorlive #bison #WildAI #blockchain #AI #rewildingromania #rewildingeurope #pandalab

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sandlerresearch · 5 years ago

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Smart Transportation Market by Transportation Mode (Roadways, Railways, Airways, and Maritime), Solution (Smart Ticketing, PIS, Freight Management), Service, Communication Technology, Application, and Region - Global Forecast to 2025 published on

https://www.sandlerresearch.org/smart-transportation-market-by-transportation-mode-roadways-railways-airways-and-maritime-solution-smart-ticketing-pis-freight-management-service-communication-technology-application-and.html

Growth of the smart transportation market can be attributed due to the technological advancement to enhance customer experience and the growing government initiatives and PPP models for smart transportation

The smart transportation market size is projected to grow from USD 94.5 billion in 2020 to USD 156.5 billion by 2025, at a Compound Annual Growth Rate (CAGR) of 10.6% during the forecast period. The major factors driving the growth of the smart transportation market include technological advancements to enhance customer experience, growing government initiatives and PPP models for smart transportation, rising urban population and high demographic rates, and growing adoption of IoT and automation technologies to enhance technological optimization.

Airways transportation mode to grow at a higher CAGR during the forecast period

The smart transportation market is segmented into four transportation mode: roadways, railways, airways and maritime. Air transportation is an important transportation mode in the global smart transportation market. With the growing urbanization across the globe, the airways industry has evolved over the years. The demand for aviation services has increased significantly in the last decade. New technologies and digitization of services are driving the airline industry to ensure smooth maintenance, reduce operating costs, and take advantage of the increasing air travel. Several disruptive technologies, such as AI/ML, IoT, blockchain, big data and analytics, AR, biometrics, and robotics, provides the potential to improve the customer experience and enhance the operational efficiency both on the ground and in-flight.

Solutions in the roadways transportation mode to lead the market during the forecast period

The solution segment of the roadways transportation mode of the smart transportation market includes smart ticketing, parking management, traffic management, passenger information, freight information, and vehicle telematics and others (GIS tracking, commercial vehicle operations, and security). With the growing government initiative related to the enhancement of vehicle efficiency across the globe has led to the growth of the solution segment if the roadways transportation mode. As of now, several regional governments are focusing on deploying smart technologies in vehicles for ensuring safety. The deployment of roadways solutions helps in better fuel, operations, and route management, which, in turn, saves fuel, curbs additional carbon emission, and increases the life cycle of vehicle parts.

Smart ticketing solution segment of the railways transportation mode to grow at a higher CAGR during the forecast period

The smart ticketing solution is an intelligent solution, which includes integrated ticketing, onboard ticketing, online ticketing, mobile application ticketing, and smart card system. It enables smooth passenger flow by enabling a comfortable passenger experience. It reduces dependence on cash and other payment methods, which aid in smooth transitions and improve journey time. Smart ticketing will help contribute to the overall improvement of the railway transport network level of services, images, and accessibility, to facilitate and/or increase the use of railway transport. The increasing demand of the ticketing process to simplify the process drives the demand for smart ticketing solutions.

Air traffic management in the airways transportation mode to lead the market during the forecast period

Air Traffic Management (ATM) is dynamic and integrated management of air traffic and airspace involving airborne and ground-based functions to provide safe, economical, and efficient airspace management and Air Traffic Flow Management (ATFM). The introduction of new technologies, such as GPS-based navigation and landing digital air-ground data link communication, and Automatic Dependent Surveillance Broadcast (ADS-B), is expected to boost the growth of ATM

Vessel tracking solution segment of the maritime transportation mode to grow at a higher CAGR during the forecast period

A vessel tracking system plays an important role by bringing about long-range connectivity not only between ships and coast guards of countries but also among ships as well. With the increasing connectivity technologies, such as IoT, vessel tracking systems have managed to incorporate internet connectivity as a part of their core objective, providing a much better service. Vessel tracking helps manage the entire life cycle of vessels/containers in export/import. It is one of the critical software used by the professional mariner to keep track of all assets (vessel, containers, cargo, and buoys) and monitor positions of the vessels. Advancements of communication technologies in the maritime transportation mode provides the connectivity from ship-to-ship communication and ship-to-shore communication.

Europe to lead the market share in 2020

Europe is the largest regional market in terms of revenue, and the UK is the most developed economy, contributing significantly to the smart transportation market. The European countries have been investing majorly in the modernization and up gradation of rail infrastructure. Social and trade agreements among the European Union (EU) countries have promoted large-scale, cross-border trade and passenger traffic in Europe. The dynamics of the transportation industry in Europe is changing rapidly with new freight and passenger management systems. To boost the efficiency of the existing infrastructure, several European countries are expected to adopt to new smart transportation solutions. Europe has a conducive environment for the implementation of smart transportation systems, as the government has planned investments for improving the public transportation modes in this region.

By Company Type: Tier 1 – 62%, Tier 2 – 23%, and Tier 3 – 15%

By Designation: C-level – 38%, Directors – 30%,and Others – 32%

By Region: North America – 40%,Europe– 15%, APAC– 35%,MEA – 5%, Latin America– 5%.

Some prominent players profiled in the study include Thales Group (France), Huawei Technologies Co., Ltd. (China), Siemens AG (Germany), IBM Corporation (US), Cisco Systems, Inc. (US), SAP (Germany), Cubic Corporation (US), Alstom (France), Bombardier Inc. (Canada), Toshiba (Japan), Harris Corporation (US), Saab AB (Sweden), Veson Nautical (Massachusetts), BASS Software (Norway), Bentley Systems (US), Indra Sistemas (Spain), Trimble (US), TomTom International BV. (Netherlands), Amadeus IT Group SA (Spain), Conduent (US), Kapsch (Austria), Hitachi Ltd. (Japan), Descartes (Canada), Accenture (Ireland), and DNV GL (Norway).

Research coverage

The market study covers the smart transportation market across different segments. It aims at estimating the market size and the growth potential of this market across different segments, such as transportation modes (roadways, railways, airways, maritime), communication technology, applications, and regions. Each of the transport modes has been further divided into solutions and services associated with them. The communication technology covers different communication technologies used across all the transportation modes in the smart transportation market. The application segment covers different applications of the smart transportation. The applications are common to all modes of transportation and comprise route information and route guidance, transit hubs, autonomous/driver less vehicles, video management, and others (transport infrastructure management, asset management, road safety and security, and public safety). The regional analysis of the smart transportation market covers North America, Europe, APAC, MEA, and Latin America. The study also includes an in-depth competitive analysis of the key market players, along with their company profiles, key observations related to product and business offerings, recent developments, and key market strategies.

Key benefits of buying the report

The report is expected to help the market leaders/new entrants in this market by providing them information on the closest approximations of the revenue numbers for the overall smart transportation market and its segments. This report is also expected to help stakeholders understand the competitive landscape and gain insights to improve the position of their businesses and plan suitable go-to-market strategies. The report also aims at helping stakeholders understand the pulse of the market and provide them with information on key market drivers, restraints, challenges, and opportunities.

#Automotive

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hemanth1607-blog · 6 years ago

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Impact of Artificial Intelligence in the Truck or Logistics Industry

Artificial Intelligence development will play a key role in the future of trucking. Not only can collect and monitor data, but observes patterns, it will be able to make predictions based on these models. These predictions will improve the capacity of the AI board to assist the driver and navigation functions as well as background features such as data monitoring and preventive maintenance. AI also increases the connectivity and communication between other trucks on the road, improving Convoy and other common route management systems. However, Artificial Intelligence is can be a costly and time-consuming effort, which may not be possible for some companies to achieve within a reasonable time.

Impact of Artificial Intelligence in the Truck or Logistics Industry

Autonomous Vehicles

In recent years many self-driven cars and trucks have been a subject of interest to people. Artificial intelligence is profitable for transport. Driverless vehicles make changes to the supply chain and help reduce costs in logistics. Of course, we know about cars, but AI allows unmanned automation to more vehicles. For example, these means of transport such as trucks, vans or buses can also be automated for the transport of goods. These types of vehicles can work alone or cooperate with someone. However, in many countries, the government estimates that the driver must be in the vehicle to completely control the situation on the road and analyze possible risks. Of course, this statement may be altered in the future.

Traffic management

Another problem with transportation that people face daily traffic congestion. Artificial Intelligence is now set for this problem too. Sensors and cameras everywhere embarked on the road collecting a large number of voluminous traffic details. These data are then sent to the cloud, where the analysis and the revelation of the traffic pattern are done with large data analysis and a system powered by AI. Valuable information such as traffic forecasts can be drawn from the data processing. Commuters can be supplied with important details such as traffic forecasts, accidents or roadblocks. Also, people can be informed about the shortest route to their destination, helping to travel hassle of traffic. In this way, the Artificial Intelligence can be managed to reduce not only unwanted traffic but also to increase road safety and decrease delay times.

Innovative payment systems

Technology transactions and payments On track discs using a digital register, where all the data collected on the payment in one report. Digital invoices merge all shipments within one invoice which is sent by email or by the application. Machine Learning is applied also optimizes the delivery notes that drivers must submit to process the payment of their services. Finally, the platform used payment gateways to ensure maximum security when making transactions.

Delay predictions

Another burning issue facing the truck industry today delays. The estimated costs due to delays are billions of dollars worldwide, as well as financial losses, delaying a negative impact on the customer experience. A negative experience can affect the value of a transport company, which can result in client turnover. To solve these problems, Artificial Intelligence helps us in the truck industry here.

Using IoT to track the movement

Anyone who knows what the Internet of Things or IoT would easily be able to imagine some ideas on how it can be used in the logistics industry. Somehow the AI with IoT can completely revolutionize the industry.

Real-time decision making

In logistics, there is a wide range of tasks that require data to make decisions. All these decisions will take several minutes for the average human mind to calculate. But with the help of avian influenza, there is an instant solution for as sifts through thousands of data points. All this takes seconds and accuracy is a spot which is what makes the AI much more exciting in this sector.

Optimization of loads/routes

Spotting Secure route is a significant part for our operators as such it is a problem that we converge on the most, because it ensures the supply of loads that best fit the profile of a driver to optimize the price offered to the Shipper through loads of road tests available to try to offer several commands chained empty kilometers minimizing. Therefore, in addition to internal development, GIS services are used for Geolocation, geocoding and arrival time, among others.

Conclusion

The challenge now is digitizing the supply chain is that companies are increasingly difficult to keep pace with new advances in technology as they struggle to find ways to implement them in their business models in particular for non-digital natives.

However, there is more pressure on the leaders of the supply chain increasingly imperative to digitize. The increased pressure of rising costs and expectations. And the cost of labor in this sector will decrease continuously with the increased use of AI, providing higher profits for industry players. The issue of long hours of driving and stopping for a break will not be a problem with the fully automated fleets. The integration of AI systems with a transportation management system can help reduce costs and implementation time.

Fusion Informatics offers a solid platform that the advantages for logistics and transport companies receive time data on a perimeter of services, including asset control, monitoring the vehicle station and communication with employees on the drive and the management of human support, all increase the overall performance. And, tracking not only vehicles using GPS and also increases business efficiency of the supply chain with the help of deep learning algorithms and machine learning, allowing you to make cost savings and optimize resource utilization.

Source Page:- https://fusioninformaticscompany.blogspot.com/2019/11/impact-of-artificial-intelligence-in.html

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