5 Industries That Artificial Intelligence and Machine Learning Are Transforming
Ever since the field of artificial intelligence (AI) research was first established as an academic discipline in the 1950s, scientists from a diverse range of backgrounds including physics, mathematics, engineering and psychology have looked at the possibilities of artificial brains and intelligent machines capable of learning for themselves. After a promising start to life, early AI systems came to the attention of the business community and vast amount of time and research were poured into the commercial and industrial applications of artificial intelligence. Today, using modern technologies and resources such as big data, machine learning (ML) and vastly more powerful computers, AI and ML systems are being put to use in a plethora of different roles across a large number of industries. In this article, we’ll be looking at five industries that artificial intelligence and machine learning are transforming as well as their roles within that industry and how they could be used in the future.
When combined, these two technologies have the potential to revolutionize a variety of industries, including transportation, cyber security, manufacturing, finance and healthcare. Let’s now take a deeper look into how AI and ML are affecting these industries
Let’s begin to see how they may affect different industries in different ways. Below are five industries where both artificial intelligence and machine learning are having a transformative effect.
Every year around 40,000 people lose their lives in North America in road traffic collisions, 37,000 in the US alone. Most of these accidents are caused due to drunk, fatigued, cell-phone distracted driving and poor driver behavior. All human factors. Bringing Artificial Intelligence into play is aimed to take out all those factors and turn a completely human dependent car into just another automated machine that is able to “think” and “decide” on its own based on artificial intelligence. Driverless vehicle is one big example of what Artificial Intelligence is doing in the Mobility or Transportation sector. We are definitely in the transitional phase where intelligent vehicles equipped with multiple cameras and sensors are being tested to drive on their own under human monitoring or vice versa.
Machine Learning coupled with Machine Vision technologies are also being used to mine valuable insights into machines and vehicles to predict their wear and tear enabling transit operators to plan downtimes to avoid service interruptions. Predictive analytics fed by big data are also being used to achieve efficiency in route optimization and schedule planning.
Rolling stock and airplanes are already using autopilot systems where they may have a human operator / pilot presence only for situational take over. Eventually, we may see buses, taxis, commercial fleets and personal vehicles too going driverless as driverless technologies becoming safer and comparatively viable option to a human driver.
Nearly every stage of the manufacturing process is dealt with by machines that require at least some level of human intervention before they can operate efficiently. Artificial intelligence and machine learning are changing that by connecting all processes of a manufacturing company.
Concept of a Smart Factory is basically of an automated super-efficient manufacturing organization where Industrial IoT, AI. ML, Big Data and Cloud Computing technologies are integrated to achieve real time secure communication across departments and distribution channels, data is turned into analysis in the cloud based big data systems, the analysis provides AI software the intelligence to triggers a command for the machine or subsequent system to take an action. Now actions such as spotting a fault in a product or a part on the assembly line and getting the product design department to look into a replacement along with providing them data of exactly what needs to be fixed is not going to take weeks, but minutes.
