Artificial intelligence (AI) and machine learning (ML) are highly advanced technologies, and one could say that they represent the future. In AI/ML systems, applications or machines are set up to learn from new information, and gradually, over time, they acquire the intelligence to support day-to-day business processes and decision making. The more data they receive, the more they learn, and the more they learn, the higher their capacity for intelligence.
For this reason, the central engine of an AI/ML system needs a steady source of relevant, reliable data, drawn from as many different sources as possible. If we wanted to predict the traffic on a particular street on a particular day, the engine would need to know the weather, the status of large events that may be happening in the near vicinity, and other related information.
What is the fastest, most efficient way to feed AI/ML engines with streams of incremental data from multiple different sources? The Denodo Platform.
Originally published at https://www.datavirtualizationblog.com on November 11, 2020.
