Artificial Intelligence & Machine Learning
Artificial intelligence (AI) and machine learning are already changing the way we live, work, read, travel, exercise, eat, and entertain ourselves. These concepts, however, aren’t interchangeable. Artificial intelligence refers to the simulation of human cognitive processes by machines, usually computers.
These processes typically include reasoning, self-correction, and learning.
Hence, machine learning refers to one type of artificial intelligence which focuses specifically on how machines, typically computers, acquire new data and apply a set of rules to use the data. Through machine learning, computers are given a set of rules which enables them to learn without programming input. These computer programs are able to change their approach based on the data they’re exposed to.
What are some other examples of artificial intelligence and machine learning? Read on to find out.
Business & Big Data Applications
In business, big data refers to extremely large data sets that can give businesses insights into their marketing, sales, operations, and finances. Artificial intelligence and machine learning are ideal tools that can be used to analyze and assess big data. Why? When a data set is too large, it can be difficult to analyze using traditional methods. Machine learning, on the other hand, is well-suited to dealing with disparate data sources, numerous variables, and extensive data. Most big data sets are growing, which makes them difficult to analyze. But machine learning applications and systems thrive on growing datasets, as they can continuously learn and apply results to provide more profound insights.
Some of the most common examples of machine learning using big data include Google Map’s ability to predict when you should leave to get to your meeting, Spotify’s ability to create a playlist you actually want to listen to, and Amazon’s ability to recommend your next read.
When it comes to healthcare, artificial intelligence and machine learning applications are taking the industry by storm. Some of the machine learning applications currently in development or on the market include diagnostic tools that can collate and make sense of a wide range of data about patients, including medical scans. Other applications focus on crowdsourcing medical data to apply it in various treatments. Machine learning also has the potential to discover new drugs and assist during surgery.
Education is another field that can stand to benefit from AI and machine learning. Some companies are already at work creating robots that can effectively teach school subjects such as biology, mathematics, and social studies. In the future, AI may be used to grade assignments and improve the effectiveness of online learning systems.
Marketing is one of the fields that already boasts widespread use of AI and machine learning tools. In particular, the online marketing of music, published news and writing, games, toys, and a wide range of other products and services makes use of machine learning. Based on data from social network sites and online shopping platforms, user data affords companies the ability to market to consumers who are more likely to express an interest in their product or service.