Organizations will die if they do not innovate. Thank god they now have AI which is exhibiting limitless possibilities of innovations across industries. The technology has got all the power to redefine industries by facilitating the high level personalization for users, automating processes and, improving standards of results. Although the AI deployment speed varies from industry to industry, it’s true that the technology certainly has the capability to advance wherever it’s implemented.
Here are the 10 industries being advanced by AI.
The agriculture sector is often seen to have shortages of labor. No doubt, there are fewer people who want to work in this sector. Canada is a great example for labor shortages in its agriculture sector. The country will soon suffer from a deficiency of 100, 000 (April 2018) farm workers. But AI can be quite helpful in this situation. AI-based automation and efficiency can preserve jobs in the long run. When adopting AI based automation technologies, the agriculture industry would be able to have more workers with the right skills.
- Call Centers
The call centers are the backbone of customers care in almost all businesses. So far they have also been resolving clients’ queries through live calling and chat sessions handled by executives. But now many companies have started to develop AI-chatbot applications through deep learning algorithms. The Colombia based elMajorTrato.com, for example, is nowadays able to automate 56.9 percent of queries. The system is able to respond in seconds and, the team has to answer only those questions that the system has not been consulted for before.
- Customer Experience
Better customer experience results in better conversion. Retailers understand it so deeply and, thus they have been the first to apply AI to improve customer experience. Now others, for example, travel companies are also looking into the actual worth of leveraging chatbots to develop round-the-clock, personalized concierge level services to help customers. Airlines and hotels are developing AI solutions to mitigate the frustration faced by customers during journeys. The system works by understating the context of a customer’s circumstances and then provides the most relevant information resolving an issue.
- Energy and Mining
AI appears to be a technology purposely developed for Oil & Gas industries. There is no other technology that fits Oil and Gas industry better than AI. AI-based cognitive systems are helping companies in the industry to track tankers to determine when they leave ports, where they are heading, and how much petroleum or LNG they are carrying & transporting. They system is also able to predict what is being shipped, and about refinery destinations and arrival times. With having the real time data of these operations, traders make smarter decisions. AI systems and the cognitive computing carry tremendous value to the global energy market. AI’s subset ML is being applied to drilling by collecting information from thermal gradients, seismic vibrations, strata permeability, and pressure differentials.
AI shows signs of limitless possibilities in the healthcare industry. Many healthcare innovators are using AI to predict diseases, identify patients with high-risk and automate diagnostic tests to increase a treatment’s speed and accuracy. The technology can also be used in drug formation, predictive-care, and DNA analysis. Without doubt, AI based healthcare solutions can positively impact the healthcare and human lives.
- IT Service Management
AI will also emerge as the key solution for IT Service Management in the future. Many corporate and government networks are developing AI projects for IT Service Management process to ensure that the information is accurately interpreted before its input into an IT service management solution. The point of entry in organizations is a scenario for this sort of AI ITSM app development. AI Chatbots can be developed to enable automate ITSIM solutions. AI can also automate backend processes. An AI ITSM system, for this purpose, can automatically detect and open requests without any need of the human intervention.
With the AI technology, IT service management will experience positive changes that also change the way humans are involved in the service management process.
Manufacturers, particularly those engaged in the automobile industry, are also using AI with the core focus on automation and process optimization. Pharmaceutical manufacturers also have vigorous plans to test the AI for their operations in the near future. AI will help them parse complex medical data and researches for the formation of medicines.
AI can also be used for the smart maintenance of production line machinery and equipment, avoiding sudden failure or downtime. Manufacturers struggling to meet short market deadlines can use AI to maintain the quality of products and comply with defined standards and regulations. AI can create effective human-robot collaborations, help in manufacturing better products with generative designs, and make a manufacturer capable of adapting an ever-changing market.
- Technical Support
Technical support teams aren’t able to answer all the calls reaching their helpdesk. Many uncomplicated queries, such as determining when an engineer is due to arrive or establishing opening hours, are such simple as they can easily be answers by AI-enabled bots. AI can provide these bots with capabilities, like self-service diagnostics, scheduling optimization engines, or automatically offering appointment slots.
Chatbots lend a hand to retailers to increase the amount of high precision data they can collect about the customer. This sort of data offers retailers a competitive edge over rivals who don’t use chatbots. Also, AI-chatbots can capture audible reactions from customers using verbal requests to navigate a website, and purchasing and use it further to improve conversational capabilities. Same AI-chatbots, with analytics working on the data collected, can also understand the emotions and mood of customers while online.
Retailers can have the ability to customize and personalize the customer experience to deliver maximum satisfaction that increases chances that customer will return in the future.
- Software Development
AI can improve the process of software development itself. AI assistants can help in modeling an app with the right architecture and UX, and analyze a solutions impact and value for the organization. When combined with other technologies, like ML, deep learning, natural language processing, and business rules, all steps of software development lifecycle can result in better and faster software and solutions.
Author Bio. :- Sofia is a digital marketing expert in Rapidsoft Technologies which is a leading IT consulting company providing full range it services including, IoT application development, ERP software development , AI App Development and big data app development solutions. Sharing is caring!