Artificial Intelligence. Everybody wants it. Everybody knows they need to invest in pilots and initial projects. Yet getting those projects into production is hard, and most companies still aren’t in with both feet. If you aren’t hands-on with the projects yourself, you may have heard a lot of different terminologies. You may be wondering what it all means. Is AI the same as machine learning? Is machine learning the same as deep learning? Do you need them all? Sometimes the first steps of understanding whether a technology is a fit for your organization’s challenges and problems is understanding the basic terminology behind that technology.
Read/see the slideshow explaining the seven technologies that make up artificial intelligence on Information Week.