Breakthroughs in artificial intelligence and machine learning have been two of the most exciting topics of the last two decades. Extensive research and hard work are necessary for machine learning and data science engineers to understand and run their models effectively.
While they may differ depending on different individuals, the traditional machine learning steps include:
Businesses are quickly acknowledging the importance of Conversational AI (CAI) to increase their customer engagement and revenues. The question is no longer whether to deploy CAI, but rather which platform to use and how to leverage its capabilities.
In this series, see some insight on important aspects of a conversational AI platform that buyers often overlook. For example, what does language support really mean? What is localization? How do different deployment models impact the TCO? And maybe most importantly – How can the CAI platform not only help me during the first development sprints – but across the entire bot lifecycle?
