Many companies have adapted to a “data-driven” approach for operational decision-making. Data can improve decisions, but it requires the right processor to get the most from it. Many people assume that processor is human. The term “data-driven” even implies that data is curated by — and summarized for — people to process.
What AI-Driven Decision Making Looks Like
It’s not the same as being data-driven.
July 08, 2019
Summary.
To fully leverage the value contained in data, companies need to bring Artificial Intelligence (AI) into the workflows and, sometimes, get us humans out of the way. We need to evolve from data-driven to AI-driven workflows. This is not merely an automation play, which is a marginal benefit of integrating AI into decisions. Instead it allows us to overcome our inherent limitations as human processors–low throughput and cognitive bias–by assigning machines to process the vast volumes of data we produce and letting us humans apply judgment, culture, value and context to the decision options machines can produce.
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Learn how to create a winning business plan.