Enterprise It Glossary

Welcome to the BMC Enterprise IT Glossary. We’ve rounded up some of the most popular technology terms and theories—those that are commonly used, misunderstood, or essential to IT strategy. From old standbys to cutting-edge areas, we’ve got you covered with short, understandable definitions and links to relevant articles that go deeper on the given topic.

If you’d like to see a topic added to this list, please email us at .

A B C D E F G H I J K L M N O P Q R S T U V Q X Y Z

Agile software development

A set of ITSM framework practices aligned with the principles of the Agile Manifesto. The software development approach follows iterative processes with changing requirements to deliver improved value at speed. Cross-functional teams self-organize and collaborate to achieve the collective goals with an incremental development strategy.

Read more:

• The Role of Agile in DevOps
• DevOps vs Agile: What’s the Difference and How Are They Related?
• Agile Roles & Responsibilities
• Top 7 Agile Certifications

Artificial intelligence

Historically a subset of computer science and statistics, artificial intelligence today is the idea that machines could mimic actual human capabilities, such as decision making. Modern AI is broken into two areas: general AI and applied AI. The concept of AI grows and shifts as technology advances, and likely will continue to do so. Currently the only solid criterion for AI success or failure is how it can accomplish applied tasks.

Read more:

• Machine Learning, Data Science, Artificial Intelligence, Deep Learning, and Statistics
• Will Artificial Intelligence Get Rid of the ‘Boring’ IT Service Management Tasks?
• Understanding AI and the Impact Intelligent Technologies Have on Businesses Today