News Coverage

Avoiding One of AI’s Greatest Challenges: The Misuse of Data

It’s clear that the next evolution of enterprise investment will be dedicated to the automation of business workflows. More specifically, investment will be targeted on the augmentation of human operations with machine learning and artificial intelligence, or ML/AI.

This investment is predicated upon the notion that business-critical insights will derive from powerful, complex algorithms crunching huge amounts of data, creating the speed and efficiency to out-compete, or at least keep pace with, new technology-driven competition (Hint: I’m thinking of Amazon).

The move towards ML/AI is not about yet another database, or about consolidating all of your data into a single “analytics” environment. This development will be focused on addressing a long backlog of critical business questions that need answers, which previously took humans too long to address or required data far too complex for humans to digest.

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