Major industries that use Artificial Intelligence and Machine Learning :
AI and ML are the technologies that can fit into any industry, the adoption of automation could revolutionize farming all over the world. These technologies are mainly focused to develop automated robots as there is a labour shortage, detecting weeds, monitoring soil and diagnosing plant diseases.
Google is working on an application that gives information on what type of plants that can grow in what kind of fields and it also detects disease, the type of disease that affected the plant, reasons behind it and measures to treat disease.
Microsoft is aiming to help farmers to improve the yields with Sowing App. This helps farmers when to prepare the farm, the optimal sowing timings, seed treatment, application of nutrients, pest and disease management, water management. The impact made a 30% increase in the crop yield, per hectare.
Finance Industry is a pioneer of AI technology. This sector has a very huge amount of quality data, AI algorithms are broadly used to perform the best prediction and analysing the data from collecting to managing, transactions to investments. AI give strategic actions for a Business Development.
AI powers the financial services and solutions ensuring a secure business. It aims to deliver the services that a customer needs, and helps to detect the bank frauds. Banking sectors rely heavily on these technologies, these directed to evolve Chatbot’s and Conversational Interface to serve the customer with the relevant information as per requirements.
As the world is into Internet banking and online trades, Cybersecurity comes into the picture. JP Morgan, American Express, Experian and many financial industries have collaborated with reputed companies and experts to improvise the standards of business and to prevent the threats that can affect the customer, investor, and the banking sector. There are many companies working on Cybersecurity, Palo Alto Network introduces Magnifier to detect the stealthy activity behind the business, it uses ML algorithm to investigate and to terminate the threat.
Artificial Intelligence (AI) and Machine Learning (ML) algorithms are widely emerging to predict, monitor, manage the traffic, the usage of these technologies drawn the interest of many companies towards the field of automation.
Self-Driving Cars are the primary aspect to discuss. Although it is still in the testing phase, Self-driving cars are the future of transportation. The algorithms for such complex products are being developed for a system to adopt new features like analysing and optimizing the data collected from a variety of sources, routing, mapping, and navigating to the situations around them in the real world.
Computer Vision and Sensor Fusion are vital applications in self-driving cars that help in analysing the context of different objects and processing the way of control. Thus provides the information and processes with data gained from different sources to the system for precise decisions and responds according to the situation. BMW, Volkswagen, Japanese Shipping Companies have a team of AI experts working on such a range of products.
AI technology is accelerating Healthcare industry into the next level with advanced processing and understanding life science. AI-driven diagnostics collects patient data to diagnose and suggest possible ways to treat disease with accuracy.
AI doesn’t mean to elevate new methods in medication, it just projects a path with existing medication in the right way, it has the ability to detect medical problems much faster than a human sense. Artificial Neural Networks are widely used in healthcare, Kohonen’s Neural Network is one of the popular Neural Networks which are a basic type of Self-organizing networks that takes the data and provides a more sophisticated visual presentation.
AI and ML accelerate reading for researchers in understanding life science, to discover the causes of the disease and help to develop the precise diagnosis to treat the diseases.
Before developing a product, every industry focuses on the market to determine how their product can sustain in the real world. AI and ML provide the scope to predict the need for the product and analyze the parameters of the customer requirements based on the data to empower the business.
AI and ML technologies are pushing retail and e-commerce into the most prominent platforms of the future. In the retail industry, it is hard to find and to understand what customer is searching for and to identify its relevant products, so to overcome such situations AI and ML are used, enabling to search easier, the most relevant and the right product by time. On the other hand, it helps to develop different platforms such as 3D Apparel Design, Virtual Try-On.
Technology today is changing the face of the world of service with conversational chat-bots and digital assistance. Customer Service provides AI driven-assistance to the end-users to assist and to answer the queries. The advancement in ML and technologies such as Natural Language Processing makes an interactive conversation with smart and fast responses in a format of analysing request, identifying the intent and entities lately composes the reply.