Things to Know About AI and Machine Learning
Evolving Technologies has a great impact on businesses as it offers many opportunities and areas for development, which can change the face of your business. There is a lot of potential when it comes to adopting a certain technology and implementing it so that you can try new ways to take your business to the next level. Artificial Intelligence is a hot topic of discussion in recent times because it offers a chance to take the next best technological step.
Artificial Intelligence (AI) was coined as a term in the early 1950s, but only now has it come into practical use thanks to the growing data and various fields where AI can be used with advanced algorithms and higher compute power. Artificial Intelligence is not an independent technology because it is a broad term that consists of many other terms that are related to AI and ranges from robotics to machine learning. Some refer to AI as “cognitive computing” or “machine learning.” People tend to confuse these terms with one another because the end goal of AI is to build machines capable enough to perform critical tasks and cognitive functions that are actually within the scope of a human acumen.
Artificial Intelligence is about machines learning the basic and most critical programs to gain experience and respond to demands and perform human-like tasks. You can also say that machine learning is a type of AI that allows the software to predict outcomes and provide results without being programmed for specific tasks. By providing inputs and programming a machine to do specific tasks, first it processes data and certain patterns because it needs to follow a code.
In order to get the desired result, machines must be able to learn specific capabilities instead of feeling the need to programme them explicitly. We have achieved stunning progress in the field of AI in the last 10 years. Below are some of the amazing examples where companies have implemented AI into their business.
Google Maps makes use of location data from smartphones, which analyzes the pace and movement of traffic at any given time. With the help of their Waze app, which detects traffic incidents like construction and accidents, Google Maps can easily find out the traffic in reported areas. When vast amounts of data regarding traffic is received and fed into the algorithm, Google Maps can easily provide the fastest route and areas that are less congested.
Uber is able to minimize your wait time when you hail a car or determine the price of your ride and provide you a service, which is equivalent to other passenger’s locations, which minimizes detour. Have you ever given it a thought to how Uber is able to do it? The answer is Machine Learning. This provides the user with ETAs for rides, optimal pickup locations, drop-off points, and avoiding detours for multiple customers. All this is possible due to machine learning.
AI technology in commercial airlines for autopilots dates back to 1914, which is surprisingly early for the use of an AI-based technology. A report suggests that only 7 minutes of human command is needed, which is reserved only during take-offs and landing. Everything else is taken care of by autopilot based on AI.
