Measure of AI Garbage-In, Garbage Out is Squared!

CIO.com reported that “In the world of AI, it’s garbage-in, garbage-out — squared. The secret of any good AI system is how well you build your data layers. It’s important to build that architecture and infrastructure — to understand the data source, to generate the data, and to build a single data platform,” stated by Satya Jayadev (vice president and CIO at Skyworks Solutions, a maker of semiconductors for wireless networks).  The June 16, 2025 article entitled “How CIOs are getting data right for AI” (https://www.cio.com/article/4006394/how-cios-are-getting-data-right-for-ai.html?utm_campaign=editorial&utm_medium=browser_alert&utm_source=subscribers) included the comments:

Organizations that have taken steps to better organize their data are more likely to possess data maturity, a key attribute of companies that succeed with AI. Research firm IDC defines data maturity as the use of advanced data quality, cataloging and metadata, and data governance processes. The research firm’s Office of the CDO Survey finds firms with data maturity are far more likely than other organizations to have generative AI solutions in production.  

Further, the same IDC research reveals that preparing data to yield optimal AI results has a strong bottom-line effect on the business, delivering a fivefold improvement in customer retention as well as strong gains in profit, efficiency, and revenue.

While data warehouses, lakes, and lakehouses are far from new, the push to gain business value from AI is shining a bright spotlight on them — one that demands top-notch data governance.

No surprises here, but good advice!