Some people consider Artificial Intelligence as a job killing disruptive technology, but for industries facing unavailability of manpower, AI empowers them and saves jobs in the long run. Use cases of Artificial Intelligence across different industries like Agriculture, Energy and Mining, Healthcare, Manufacturing, IT service and Management, Retail, Cyber security, Business Intelligence, Infrastructure, Education, Fashion, and Supply chain, etc. are discussed in this blog.
Agriculture is one of those industries, experiencing labour shortages. Implementing AI and allied automation technologies is a way of survival for the agriculture industry. From sensing the land condition, moist quantity, to health of crops, collecting data from crops, and helping in making medicines for pest control and plant growth are impacts of AI in the agriculture industry.
Energy and Mining
Oil and gas is one of the major industrial segments and is a regular apt for AI. AI uses industry data to make accurate energy forecasts that helps in informing power supply and demand. It also helps to optimize and track how efficiently energy is performing and also describes accessibility, effective cost savings, guidance for smart home appliances purchasing, etc.
Healthcare is a sector where AI has endless possibilities. AI is presently used by healthcare visionaries to forecast ailments, classify serious patient groups, and systematize diagnostic tests and to upsurge speed and precision of treatment. It can also be used to expand drug preparations, prognostic care, and DNA investigation that can completely impact quality of healthcare and affect human lives.
Artificial intelligence has been successful in removing the critical factory hindrances in the manufacturing sector. To meet the frequently changing consumer demands and overcome these challenges, manufacturers have started relying on automation, deep learning and related fields of AI.
The rise in living standards has made implementation of AI a reality. Although labourers might lose their jobs due to implementation of AI, but companies can retrain them in higher level jobs with proper training.
In factories, minute details go unnoticed, which can be very easily detected by automation machines. Replacing of human labourers with robots will reduce risk and also improve productivity.
AI helps supply chain to forcast types of demands across different geographic , time and weather conditions.
Artificial intelligence is also highly helpful in carrying out predictive maintenance for devices, with sensors tracking operations, predict breakdowns, cut down unexpected delays and wastes.
Another amazing gift of AI to manufacturing is Digital Twin. It is a replica of physical devices, which allows the virtual entity to seamlessly exist with the real one.
AI upgrades OEE management, boost yield rates with automatic optimization, and offers streamlined production. When coupled with a cloud-based data processing platform, defects are quickly detected and a response is automatically generated.
IT Service Management
Use cases of Artificial Intelligence technology is going to be a leading solution for IT service management in the corporate world. With so many support queries and incidents coming in, it is difficult for the analysts to solely solve all of them. So as a means to handle support queries coming from the customers , companies are seen adopting chat bots that has AI capabilities. With IT, its services are going to stay forever. Implementation of AI in IT Service Management System, will revise the complete services management process.
Of all industries, retail is the one most important use case of Artificial Intelligence. With the implementation of chat bots, retailers have achieved a competitive advantage over those with no chat bots. Customers navigate websites and place orders verbally which the chat bots capture and provide consumer analytics to the retailers, thus helping in personalized sales with a focus on making customers happy.
Whichever industry a business belongs, invaders are seem to always step in. Bigger organizations face this problem of security more than the smaller ones. With its power to bring multifaceted perceptive and self-learning in an automatic approach at considerable measure, AI will be a game-changer in improving our cyber security.
Today, organizations have to deal with a lot of data generated by customers, software tools and processes. Traditional tools are failing to handle such huge bulk of data. Dashboards and chart boards will be very soon replaced by AI data management tools that automatically manages, extract insights and makes recommendations.
Infrastructure industry is getting a big influence from Artificial Intelligence. AI with its fast data processing tools processes and organizes huge data to understand urban areas and the way they are changing. Data obtained with AI tools provides a different way of looking into the growth and development, urbanization, safety and security and more.
Although there are new technology innovations taking place every day, it is not seen to be affecting the education system much. There is no much difference between today’s syllabus than a decade back. The basic concept of education has not changed much and it is certainly obvious that change is needed. AI clears the differences and creates a modified, active and operational learning pathway for any subject can ascertain to be an incredible game changer for any revolution.
Using AI to learn about shopping patterns of users across the world and forecast fashion styles is a great application. Having a fashion style recommendation AI tool will Manage inventory, Connect with customers, Tailor recommendations, Reduce returns, Improve product discovery and will obviously help the shoppers enormously.
Supply Chain Management
Artificial Intelligence has brought drastic changes to supply chain. AI allows more appropriate intellect which offers the awareness necessary to lessen operations costs and inventory. AI offers insights into improving supply chain management productivity, analyzes huge volumes of data, thus improving demand forecasting precision, tracks inventory, enhances customer experience, improves production forecast and factory planning and thus prepares for the Future.