How CIOs Are Getting Data Right For AI
CIO, Monday, June 16th, 2025
A successful AI initiative is largely determined by the underlying quality of data. IT leaders are elevating their data lake, warehouse, and lakehouse strategies to provide the foundation.
Quality data is vital for the success of any IT initiative. That's especially true for AI projects. While bad data will always yield bad results, the stakes are exceptionally high for AI, where poor data could lead to serious financial loss, regulatory fines, and reputational damage. Good data that feeds a successful initiative, however, could deliver a significant and possibly game-changing strategic advantage.
'In the world of AI, it's garbage-in, garbage-out - squared,' says Satya Jayadev, vice president and CIO at Skyworks Solutions, a maker of semiconductors for wireless networks. '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,' Jayadev says.