AI Data Readiness: C-Suite Fantasy, Big IT Problem

Business leaders believe their data is primed for AI, but IT practitioners spend hours every day beating data into shape, only to miss out on automation opportunities.

Business leaders may be confident that their organizations’ data is ready for AI, but IT workers tell a much different story, with most spending hours each day massaging the data into shape.

Nearly nine in 10 business leaders say their organizations’ data ecosystems are ready to build and deploy AI at scale, according to a recent Capital One AI readiness survey. But 84% of the IT practitioners surveyed, including data scientists, data architects, and data analysts, spend at least one hour a day fixing data problems.

Seventy percent of those IT pros spend one to four hours a day remediating data issues, while 14% spend more than four hours each day, according to the survey.

The survey points to a fundamental misunderstanding among many business leaders regarding the data work needed to deploy most AI tools, says John Armstrong, CTO of Worldly, a supply chain sustainability data insights platform.

“There’s a perspective that we’ll just throw a bunch of data at the AI, and it’ll solve all of our problems,” he says. “It says our job as technology leaders can help educate our audience on what is possible and what it will take to get to their goal.”

The implications of the ongoing misperception about the data management needs of AI are huge, Armstrong adds. When he talks to other IT leaders, they all are struggling with pressure to adopt AI, Armstrong says.

“It’s a big, big issue, because if not done right, your organization could spend literally millions of dollars on the wrong solution set to achieve the wrong outcome,” he says.

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