Machine learning allows applications to become predictive by categorizing and recognizing patterns in historical and incoming data. Computers are then able to use those patterns to infer general rules about how to organize data or content and present it to users.
Machine learning has evolved to become the de facto technology to make business and consumer applications smarter.
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). The benefits of adding a conversational interface to an application are clear and accrue quickly. In this webinar, Adrian Bowles discusses the driving forces behind the rapid adoption of AI chatbots by enterprises.