Most companies today have fairly good predictive—and maybe even prescriptive—capabilities that provide them with deeper, more timely insights into their business performance. Those insights are driving better decisions and helping make your operations more efficient. However, predictive analytics is the ante these days.
Leading companies have begun to realize that artificial intelligence (AI) is the technology that will take their analytics to the next, very powerful level, enabling them to embed intelligence at the cellular level of the organization.
Artificial intelligence—in the way it’s being used in this discussion—can also be used synonymously with cognitive computing. While there’s really no agreed-on definition of AI, here it is defined as hardware and/or software that simulates human thinking.
AI has three fundamental characteristics:
- It learns as information changes, even in real time.
- It can understand data in contextual terms, and it can help you interact—or can interact on its own—with users, using that contextual information.
- It is curious. It remembers previous events and asks questions, returns answers, and makes recommendations based on those events.
THE POWER OF (ARTIFICIAL) INTELLIGENCE
AI brings tremendous, transformative power to those companies that embed it into their organizational intelligence infrastructures. It can transform your analytics capabilities ...