Smart cities are cities which use different types of electronic IoT to collect information and use this information to manage assets and resources economically. Pune is a smart city situated in India; citizens that live in Pune do not need to rely on traditional forms of communication with their local utilities and service bodies.
It has removed the pains of traveling to local governing departments and has completely eliminated the need for long queues and registration processes. The Pune Municipal Cooperation (PMC) uses artificial intelligent chatbots to help these processes combined.
Read here for more information about Application development companies and much more related to Ai - App Developers Canada
Listed below are a Couple of ways we could use AI to make cities brighter:
1. Chatbots have demonstrated to be very useful in navigating the government industry leading to simple and effective workflows. Every wise town was made to fix a specific problem, and therefore every smart town has different missions and objectives. From the context of India, a mission for developing and setting 100 smart cities was started to provide a sustainable environment and infrastructure for its occupants. It is not physically possible for individual agents to process a large volume of inquiries too. There is clearly a disconnection between the populace and the local body in many cities and towns. In cases like this, automation may solve a number of the usual day-to-day hurdles.
Artificial intelligence may be used to understand the daily routines of communication. Between phone calls and discussion, there has been a tendency for consumers and customers to prefer using chatbots. Even popular retail brands have begun to use AI chatbots as part of their conversational marketing attempts to give their customers a personalized experience. This not only increases customer retention but is more likely to convert a query to a bargain.
2. Adaptive Traffic Signs have been employed in cities such as Los Angeles, San Antonio, and Pittsburgh. These technologies utilize real-time information to modify the timers on traffic lighting to adjust the stream of traffic. This has improved travel times for city residents by 10 percent and in certain regions with outdated traffic signs by 50 percent. Better traffic flow not only makes driving safer and pleasant but also may 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 definitely affect how our own lives improve. Better traffic flow and sensors could better public transport such as taxis, Uber, Lyfts and buses. This could directly affect affordability for all these app-based taxi services which often possess surge pricing based on traffic conditions and cab availability. The Massachusetts Bay Transportation Authority and others tap into real time info to create accurate arrival-time predictions accessible to the general public. This really is a game-changer and something just smart cities can pull off!
3. Surveillance and Safety are going to play a significant element in smart cities later on. Nvidia forecasts there will be about 1 billion security cameras used around the planet by 2020. While the positioning of security cameras has ignited a discussion about privacy and a militarized 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 a lot more data than individual operators will be able to control. Machine learning and artificial intelligence can help improve facial recognition, tracking and other features of security discovery.
4. Water and Power are significant resources to manage in a smart city. AI may be leveraged to enhance water and power use. Google claims that AI has cut power requirements in its own information centers by 40 percent. Cities are now using smart grids to manage power better. Solar-powered microgrids can be utilised in airports as exemplified by the town of Chattanooga in Tennesee. AI is also being applied to water metering to curb excess water and discover leaks.
5. Public Safety can be completely altered if law enforcement agencies employ predictive modeling and AI framework to run checks against criminal databases. License plate reader technology can also be used by the authorities to discover stolen cars and identify expired registrations. There are of course privacy issues when predictive policing systems are used; nobody needs a science fiction police say like the Steven Speilberg film: Minority Report! There's a lot of work to be done before these technologies can be utilized effectively for the public.
It has removed the pains of traveling to local governing departments and has completely eliminated the need for long queues and registration processes. The Pune Municipal Cooperation (PMC) uses artificial intelligent chatbots to help these processes combined.
Read here for more information about Application development companies and much more related to Ai - App Developers Canada
Listed below are a Couple of ways we could use AI to make cities brighter:
1. Chatbots have demonstrated to be very useful in navigating the government industry leading to simple and effective workflows. Every wise town was made to fix a specific problem, and therefore every smart town has different missions and objectives. From the context of India, a mission for developing and setting 100 smart cities was started to provide a sustainable environment and infrastructure for its occupants. It is not physically possible for individual agents to process a large volume of inquiries too. There is clearly a disconnection between the populace and the local body in many cities and towns. In cases like this, automation may solve a number of the usual day-to-day hurdles.
Artificial intelligence may be used to understand the daily routines of communication. Between phone calls and discussion, there has been a tendency for consumers and customers to prefer using chatbots. Even popular retail brands have begun to use AI chatbots as part of their conversational marketing attempts to give their customers a personalized experience. This not only increases customer retention but is more likely to convert a query to a bargain.
2. Adaptive Traffic Signs have been employed in cities such as Los Angeles, San Antonio, and Pittsburgh. These technologies utilize real-time information to modify the timers on traffic lighting to adjust the stream of traffic. This has improved travel times for city residents by 10 percent and in certain regions with outdated traffic signs by 50 percent. Better traffic flow not only makes driving safer and pleasant but also may 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 definitely affect how our own lives improve. Better traffic flow and sensors could better public transport such as taxis, Uber, Lyfts and buses. This could directly affect affordability for all these app-based taxi services which often possess surge pricing based on traffic conditions and cab availability. The Massachusetts Bay Transportation Authority and others tap into real time info to create accurate arrival-time predictions accessible to the general public. This really is a game-changer and something just smart cities can pull off!
3. Surveillance and Safety are going to play a significant element in smart cities later on. Nvidia forecasts there will be about 1 billion security cameras used around the planet by 2020. While the positioning of security cameras has ignited a discussion about privacy and a militarized 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 a lot more data than individual operators will be able to control. Machine learning and artificial intelligence can help improve facial recognition, tracking and other features of security discovery.
4. Water and Power are significant resources to manage in a smart city. AI may be leveraged to enhance water and power use. Google claims that AI has cut power requirements in its own information centers by 40 percent. Cities are now using smart grids to manage power better. Solar-powered microgrids can be utilised in airports as exemplified by the town of Chattanooga in Tennesee. AI is also being applied to water metering to curb excess water and discover leaks.
5. Public Safety can be completely altered if law enforcement agencies employ predictive modeling and AI framework to run checks against criminal databases. License plate reader technology can also be used by the authorities to discover stolen cars and identify expired registrations. There are of course privacy issues when predictive policing systems are used; nobody needs a science fiction police say like the Steven Speilberg film: Minority Report! There's a lot of work to be done before these technologies can be utilized effectively for the public.
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