As data becomes a driving force in the business and IT world, data center artificial intelligence and machine learning tools can be the answer to leveraging data to solve business outcomes. Machine learning (ML) and artificial intelligence (AI) solutions are helping organizations today stay ahead of the ever-increasing amount of data storage needed and processing requirements. New innovative AI and ML tools are being used in data centers across the globe to improve operational efficiency and productivity as well as solve some of the industry's most glaring problems, such as data security and a data center's carbon footprint. CRN breaks down eight ways AI and ML tools are being used in data centers to solve some of the biggest technical, cybersecurity and data-related issues in the IT world today.

First, let's look at what these fancy technology terms actually mean. According to Arthur Samuel, a machine learning pioneer, Machine Learning is a field of study that gives computers the ability to learn without being explicitly programmed. AI, on the other hand, is not just one technology, it is a broad field constituting many disciplines from robotics to machine learning. The ultimate goal of AI, most of us affirm, is to build machines capable of performing tasks and cognitive functions that are otherwise only within the scope of human intelligence. In order to get there, machines must be able to learn these capabilities automatically instead of having each of them explicitly programmed end-to-end.