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Top 14 AI Use Cases: Artificial Intelligence in Smart Cities

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5 minutes, 32 seconds

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en

Main keyword:    

Intelligence amplified

Sub keyword:    

Uses

Topics of your individual article:    

Cameras ✓ Information ✓ Employees ✓ Recommendations ✓ Cities ✓ Energy

Summary:    

  • Thanks to the advent of the latest innovations in artificial Intelligence (AI) and machine learning (ML), smart cities — with a specific focus on the utilities sector — are undergoing unprecedented changes.
  • One of these examples is Maven, an AI engine developed by Live Person that orchestrates conversational commerce interactions by blending together NLP, voice and text-based interfaces, and real human agents.
  • For example, if the claimant that needs to be perceived is a “white male wearing a blue shirt,” the AI can differentiate between people entering an area who corresponds to the description and send an alert in real time.

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Thanks to the advent of the latest innovations in artificial Intelligence (AI) and machine learning (ML), smart cities — with a specific focus on the utilities sector — are undergoing unprecedented changes. The Capgemini Research Institute estimated that, together with the energy sector, the utility vertical can save between $237 billion to $813 billion USD from intelligent automation at scale. use companies have been examining with AI use cases such as predictive maintenance, yield optimization, and demand/load forecasting. In 2019, more than half of energy and utilities organizations have deployed at least one practical implementation of AI technology, reaping its consistent benefits. Tech moves fast! sTop ahead of the ring with Techopedia! Join nearly 200,000 subscribers who receive actionable tech insights from Techopedia. Even the political seems hungry to enjoy the positive creation brought forward by the AI transformation. According to a survey from PwC India, 71% of respondents were overwhelmingly optimistic about the chances that AI is going to help humans solve complex problems and live more enriched lives in the immediate future. Let’s have a watch at some real usage cases of AI and ML in the smart cities/utilities sector to evaluate the practical impact of these technologies from a pragmatic point of view. (Also read: upper twenty AI utilize Cases: fake insight in Healthcare.) Smart Energy MeteringFor public sector entities, such as large energy, power and utility companies, real-time information on energy usage can reduce wastage and loss, improve the efficiency of grid operation, optimize storage, and enhance predictive infrastructure maintenance. clever foot are an application of AI and ML which raise high potential in the energy and utilities field. AI, ML and the Internet of Things (IoT) form a critical component of the government’s vision of smart cities and smart industrial zones. say more: six clue for Securing an IoT Device.) place serve a wealth of information that can be captured using IoT devices in real-time, including energy consumption. Power inputs can be adjusted automatically, leading to important savings, more secure supplies, and fewer outages. wise interval are handy even on a smaller scale as well. By utilizing them, buyer can tailor their energy requirements and thus reduce costs. The data generated in the process could be used for customized tariffs and more efficient supply. In fact, in the United kingship alone, one electricity and gas smart meter is moved to be installed for every home and tiny business, for a total of fifty-three million by 2020. IoT-Enabled yard Benches Paris certainly is one of the most beautiful cities in the world — and has always been able to blend its marvellous historical and artistic tradition with modernity and innovation. One of the most jaw-dropping ideas that the Paris administration has recently implemented, finds in the form of sensors placed on park benches to make them “smart. ” The new IoT-enabled park benches are able to collect a constant stream of information that can be digested and analyzed by AI for a broad range of urban planning uses. They check provide genius on environmental factors such as air quality by monitoring pollution levels, temperature, and atmospheric pressure. They can assist city planners by collecting data on frequency of traffic and space usage. They can even “talk” with park habitués and tourists to ask for feedback on the facilities through a downloadable app. amplifying Workforce Knowledge and Skills The aging workforce issue is a problem which is going to have a stupendous impact in the common gas and electric utilities. According to the US Department of Energy, 25% of U.S. employees will be ready to retire within five years, taking their skilled expertise away with them. AI is capable to tackle this result by leveraging easy Language Processing (NLP) and pattern recognition to process unstructured and structured data, and extract precious information from past internal communications, training documents, and technical notes. IBM Maximo gear Maintenance Assistant leverage the power of IBM Watson AI to determine the “ tribal knowledge” from experienced workers and transmit all this pooled information to the next generation of employees. The sensible robot include provide recommendations to equipment technicians and operators on how to perform complex maintenance tasks on the equipment. It can also capture feedback from technicians over time to finely tune its future recommendations, and help the whole workforce work more productively and safely. gained economic Chatbots Chatbots are everywhere. It’s not potential to debate about AI/ML use cases in any upright without finding at least one “unique” chatbot among them. But in the case of smart cities, there’s a ton of them. It doesn’t want a technician or a sign expert to see how chatbots are already making our lives effortless by transforming how people communicate with brands. Consumers can already talk with brands on their own schedule, to buy things or get the answers they need on their preferred messaging service. Cities are becoming “smarter” as nearly every store or brand is adopting a chatbot of some kind, yet some are more intelligent than others (or at least that’s what they say). One of these examples is Maven, an AI engine developed by LivePerson that orchestrates conversational commerce interactions by blending together NLP, voice and text-based interfaces, and real human agents. sensible protection Cameras machine vision to improve security cameras is a beautiful straightforward application of AI. Having a video where a crime is recorded is great, but unless someone knows something occurred, there is simply no reason to review the footage until that footage is eventually lost. A surveillance system supported by a robust AI looking for patterns of criminal behavior is the equivalent to a team of detectives that never sleep analyzing all video in real time. AI-enhanced guarantee cameras can be used in schools and businesses to cut the response time whenever action needs to be taken. For example, if the claimant that needs to be perceived is a “white male wearing a blue shirt,” the AI can differentiate between people entering an area who corresponds to the description and send an alert in real time. His photos and video can also be uploaded directly to local first responders, who can find segments of videos which may contain him based on keywords (white, male, and blue shirt, in the above example) instead of having to search through hours of footage. In Japan, an AI-powered security camera is so smart that it can estimate the poses of a suspicious person who is likely to commit a shoplifting crime. machine Vision and Parking Systems In the parking space, AI has been used by companies such as Pixevia to integrate computer vision and advanced algorithms into a smart ecosystem.
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Top 14 AI Use Cases: Artificial Intelligence in Smart Cities
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