Artificial Intelligence in Smart Cities - How Does It Make the City Smarter? -
Smart cities are cities that use different kinds of electronic IoT to collect data and then use this information to manage resources and assets efficiently.
Pune is a smart city situated in India; citizens that reside in Pune do not have to rely on traditional forms of communication with their regional utilities and service bodies. This has removed the pains of travel to local governing departments and has completely eliminated the need for long queues and registration procedures. The Pune Municipal Cooperation (PMC) uses artificial intelligent chatbots to assist these procedures combined.
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Listed below are a few ways we can use AI to make cities smarter:
1. Chatbots have demonstrated to be quite helpful in navigating the government industry leading to easy and effective workflows. Every smart city is designed to solve a specific problem, and therefore every wise city has distinct missions and objectives. From the context of India, a mission for developing and establishing 100 smart cities has been started to supply a sustainable environment and infrastructure for its residents. It is not physically possible for human agents to process a large volume of inquiries too. There is clearly a disconnection between the populace and the local body in several towns and cities. In cases like this, automation may solve some of the usual day-to-day hurdles.
Artificial intelligence may be used to understand the daily patterns of communication. Between phone calls and chat, there has
been a trend for consumers and customers to favour using chatbots. Even popular retail brands have begun to utilise AI chatbots as part of the conversational marketing attempts to provide their customers a personalised experience. This not only adds to consumer retention but is more inclined to convert a query into a bargain.
2. Adaptive Traffic Signs have been employed in cities like Los Angeles, San Antonio, and Pittsburgh. These technologies use real-time data to change the timers on traffic lighting to adjust the stream of traffic. This has improved travel times for city residents by 10% and in certain regions with outdated traffic signals by 50 percent. Better traffic flow not only makes driving more powerful and agreeable but also can have immense economic value. The Texas Transportation Institute has estimated the cost of traffic congestion at USD 87.2 billion in wasted fuel and lost productivity.
City traffic can certainly affect how our own lives improve. Better traffic flow and sensors could better public transportation such as taxis, Uber, Lyfts and buses. This would directly affect affordability for these app-based cab services which tend to have surge pricing based on traffic requirements and cab availability. The Massachusetts Bay Transportation Authority and others tap into real time info to create accurate arrival-time predictions available to the general public. This really is a game-changer and something just smart cities may pull off!
3. Surveillance and Safety are going to play a major factor in smart cities in the future. Nvidia forecasts there will be about 1
billion security cameras utilised around the world by 2020. While the positioning of safety cameras has ignited a discussion about privacy and a militarised state, the presence of cameras has also made improvements in public safety, reduced crime rates, and catching terrorists. Alas, the amount of cameras will produce far more data than human operators will have the ability to manage. Machine learning and artificial intelligence can aid in improving facial recognition, tracking and other aspects of security discovery.
4. Water and Power are significant resources to manage in a wise city. AI can be leveraged to enhance water and power usage. Google claims that AI has cut power requirements in its own data enters by 40 percent. Cities are now using intelligent grids to manage power better. Solar-powered micro-grids can be used in airports as exemplified by the town of Chattanooga in Tennessee. AI is also used to water to curb excess water and find leaks.
5. Public Safety could be entirely revolutionised if law enforcement agencies apply predictive modeming and AI frame to conduct checks against criminal databases. License plate reader technology can also be employed by the authorities to find stolen cars and identify expired registrations. There are naturally privacy concerns when predictive tagging systems are utilised; no one needs a science fiction police say such as the Steven Speilberg movie: Minority Report! There's a good deal of work to be done before these technologies can be used effectively for the general public.
Pune is a smart city situated in India; citizens that reside in Pune do not have to rely on traditional forms of communication with their regional utilities and service bodies. This has removed the pains of travel to local governing departments and has completely eliminated the need for long queues and registration procedures. The Pune Municipal Cooperation (PMC) uses artificial intelligent chatbots to assist these procedures combined.
Read here for more information about Application development companies and much more related to Ai - On Demand App Development Company
Listed below are a few ways we can use AI to make cities smarter:
1. Chatbots have demonstrated to be quite helpful in navigating the government industry leading to easy and effective workflows. Every smart city is designed to solve a specific problem, and therefore every wise city has distinct missions and objectives. From the context of India, a mission for developing and establishing 100 smart cities has been started to supply a sustainable environment and infrastructure for its residents. It is not physically possible for human agents to process a large volume of inquiries too. There is clearly a disconnection between the populace and the local body in several towns and cities. In cases like this, automation may solve some of the usual day-to-day hurdles.
Artificial intelligence may be used to understand the daily patterns of communication. Between phone calls and chat, there has
been a trend for consumers and customers to favour using chatbots. Even popular retail brands have begun to utilise AI chatbots as part of the conversational marketing attempts to provide their customers a personalised experience. This not only adds to consumer retention but is more inclined to convert a query into a bargain.
2. Adaptive Traffic Signs have been employed in cities like Los Angeles, San Antonio, and Pittsburgh. These technologies use real-time data to change the timers on traffic lighting to adjust the stream of traffic. This has improved travel times for city residents by 10% and in certain regions with outdated traffic signals by 50 percent. Better traffic flow not only makes driving more powerful and agreeable but also can have immense economic value. The Texas Transportation Institute has estimated the cost of traffic congestion at USD 87.2 billion in wasted fuel and lost productivity.
City traffic can certainly affect how our own lives improve. Better traffic flow and sensors could better public transportation such as taxis, Uber, Lyfts and buses. This would directly affect affordability for these app-based cab services which tend to have surge pricing based on traffic requirements and cab availability. The Massachusetts Bay Transportation Authority and others tap into real time info to create accurate arrival-time predictions available to the general public. This really is a game-changer and something just smart cities may pull off!
3. Surveillance and Safety are going to play a major factor in smart cities in the future. Nvidia forecasts there will be about 1
billion security cameras utilised around the world by 2020. While the positioning of safety cameras has ignited a discussion about privacy and a militarised state, the presence of cameras has also made improvements in public safety, reduced crime rates, and catching terrorists. Alas, the amount of cameras will produce far more data than human operators will have the ability to manage. Machine learning and artificial intelligence can aid in improving facial recognition, tracking and other aspects of security discovery.
4. Water and Power are significant resources to manage in a wise city. AI can be leveraged to enhance water and power usage. Google claims that AI has cut power requirements in its own data enters by 40 percent. Cities are now using intelligent grids to manage power better. Solar-powered micro-grids can be used in airports as exemplified by the town of Chattanooga in Tennessee. AI is also used to water to curb excess water and find leaks.
5. Public Safety could be entirely revolutionised if law enforcement agencies apply predictive modeming and AI frame to conduct checks against criminal databases. License plate reader technology can also be employed by the authorities to find stolen cars and identify expired registrations. There are naturally privacy concerns when predictive tagging systems are utilised; no one needs a science fiction police say such as the Steven Speilberg movie: Minority Report! There's a good deal of work to be done before these technologies can be used effectively for the general public.
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