If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
Sarah Burnett, Vice President at Everest Group, Computer Weekly top 30 influential women in IT, chair of BCS Women and founder of WISE members, BCSWomen AI Accelerator In March this year, I launched the new Artificial Intelligence (AI) Accelerator for WISE members, BCSWomen to make AI more relevant to women and encourage more females into computing. Just … Continue reading "Artificial intelligence – the greatest opportunity for women?"
Modern software systems emit a tremendous amount of "machine data" (logs, metrics, etc.) that can be crucial to identifying and understanding misbehavior, but the quantity and complexity of this data is outpacing the human ability to do the required analysis and take timely action. For this reason, I think we will see a lot of opportunities to build automated systems that analyze (and even act) on this machine data in order to improve the security, performance, and reliability of economically critical software services. That said, there's also a lot of exciting research around "ML on code": automatically identifying risky pull requests, automated bug localization, intelligent IDE assistance, and so on. Given the well-known challenges of building and operating software systems, there is likely to be plenty of room for improvement across the entire lifecycle. Overall, I think we're heading into a really interesting time for the application of ML techniques to software development, security, and operations.
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