How to Create a Data Strategy for Machine-Learning-Powered Artificial Intelligence

Machine learning powers AI with advanced algorithms, but better data continues to beat better algorithms.

Analyst: Carlton E. Sapp

Advances in technology to capture and process large amounts of information have left us drowning in data. This makes it difficult to extract insight from data at the rate we receive it. This is where machine-learning-powered artificial intelligence (MLpAI) provides value to a digital business.

MLpAI can help deliver systems with more automation and less human intervention. However, success requires a data strategy to deal with the complexity of real-world data. This research guides technical professionals through the development of a data strategy to support successful deployments of MLpAl.

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