Bob Violino

Research firm IDC has noted that by 2027, CIOs who fail to launch data debt remediation will face 50% higher AI failure rates and rising costs, as model underperformance exposes issues from siloed, redundant, or poor-quality data. I'm working on an article for CIO.com about the debts incurred with decades-old data practices, at a time when it’s suddenly urgent to pay it down. It will cover the extent of the problem, why it’s important now, how to go about tackling it, etc. Ideal sources: CIOs and other tech executives at enterprises; senior business execs at non-technology companies; and industry analysts and consultants. Please note that I will not quote any CEOs at startup companies.