The Data Paradox: Artificial Intelligence Needs Data; Data Needs AI

Data is the fuel for AI. Artificial intelligence is a data hog; effectively building and deploying AI and machine learning systems require large data sets. "The development of a machine learning algorithm depends on large volumes of data, from which the learning process draws many entities, relationships, and clusters," says Philip Russom of TDWI. "To broaden and enrich the correlations made by the algorithm, machine learning needs data from diverse sources, in diverse formats, about diverse business processes." At the same time, AI itself can be instrumental in identifying and preparing the data needed to increase the value of AI-driven or analytics-driven systems.