Even though there are many great AI software tools on the market, you still need to assemble a strong team when it comes to putting together projects. The technology is complex and evolving. There are also the challenges of change management within an organization. So then what are the roles for an AI project? Well, first of all, there needs to be an executive sponsor.

While I don't need to convince you on the importance of good information, I often find myself in the position to convince businesses to do more with theirs. In fact, data should be the most important thing on the agenda. That may be more of a stretch for most. After the Scientific Revolution, knowledge was defined by our ability to apply mathematics to empirical data. Intelligence is the ability to perceive or infer information, and to retain it as knowledge to be applied towards adaptive behaviors within an environment or context.

Is artificial intelligence tech quickly becoming enterprise tech? Vendors are betting on it. Last week at IBM World of Watson, IBM CEO Ginni Rometty laid out her vision for the technology: Namely, that Watson will reach a billion users by the end of 2017, and that the technology will underpin every major personal and corporate decision. Last month, Salesforce rolled out Salesforce Einstein, an AI system that analyzes data to identify trends in marketing and sales. Having a clear-cut IT strategy is key establishing a competitive advantage over any competition.

Is artificial intelligence tech quickly becoming enterprise tech? Vendors are betting on it. Last week at IBM World of Watson, IBM CEO Ginni Rometty laid out her vision for the technology: Namely, that Watson will reach a billion users by the end of 2017, and that the technology will underpin every major personal and corporate decision. Last month, Salesforce rolled out Salesforce Einstein, an AI system that analyzes data to identify trends in marketing and sales. Having a clear-cut IT strategy is key establishing a competitive advantage over any competition.