becoming more common than ever, it makes sense that it will also be used to make improvements on a larger scale. Artificial Intelligence Sorting Human Data A.I. is more effective than humans at sorting through massive quantities of data in an effort to spot patterns. A computer can do it faster and more efficiently than a human because it doesn't have the same biases, assumptions, or prejudices that humans have. A wide variety of applications are under development by companies and governments around the world, including self-driving cars and drones that help monitor pollution levels in urban areas. These systems use machine learning algorithms to adapt their behavior based on what they've learned about the world around them. Lighting systems can be programmed to work together to keep occupied rooms illuminated and empty rooms dark, all without your interaction. For those with a smart refrigerator, your appliance can scan your groceries and communicate to your Alexa device which items need to be repurchased. Handy Robot Helpers The Roomba has been around for a while but now the market is full of a myriad of automatic cleaning bots. In this article I'll cover the ways AI will affect BI in the next few years: The New Wave of AI Advancement AI and machine learning will be everywhere within the next three years, including in business analytics software. AI is the new buzzword and tool of the future. Machine learning is a subset of AI, and it's being built into every software package. Cyber Security Powered By AI s Artificial intelligence is not new, but tech has advanced dramatically in recent years. AI s used to be exclusively for large corporations, the government, and law enforcement. These days you can use AI security in your small business or even in your personal life. AIs can help protect you from everything from data breaches on the dark web to unwanted intruders in your home. It s used by banks and lending institutions to determine the likelihood of you paying back what you borrow (and how much interest they should charge). As a result, it is impossible to "opt-out" of having a credit score in this day and age. For example, if someone has never paid off their debt and has no other loans or cards open, then it will be harder for them to qualify for a mortgage or car loan due to a low credit score.