Cognitive computing goes beyond basic machine learning to a state where a computer learns a body of information that it can later access and recall. Based on that, it can analyze a situation, compare it to known facts and then make recommendations, all in split seconds.
Cognitive computing has become a race to develop expert knowledge systems. Cognitive systems are being deployed in multiple industries and we expect to see more providers emerge. Emerging players will focus on leveraging unassisted learning algorithms to allow for faster deployments. At the end of the day, cognitive systems will evolve into intelligent digital assistants.
Looking at the five-year horizon for AI and cognitive computing, we see more investment in basic research, enterprise and consumer applications, and advanced hardware architectures to support these software advances. In this research note, we identify four AI trends and offer predictions for each.
AI chatbots use natural language processing and machine learning technologies to offer more natural, interactive communication interfaces between humans and machines. For many applications, AI chatbots ultimately define the customer or user experience (CX/UX).