5 Emerging Data Risks And How CIOs Can Address Them
Solutions Review, Thursday, July 31st, 2025
Modern Data Company's Srujan Akula offers commentary on emerging data risks and how CIOs can address them. This article originally appeared in Insight Jam, an enterprise IT community that enables human conversation on AI.
AI has fundamentally changed how organizations manage and secure data. As someone who regularly works with CIOs, I'm seeing organizations struggle with a new set of challenges that traditional approaches simply can't handle. These five emerging data risks represent the most significant barriers to realizing value from enterprise data investments.
1. Fragmented Data Management Blocking Business Value
Your marketing team just copied your customer database into ChatGPT. Your data scientists are feeding proprietary algorithms into open-source models. This isn't just a security issue - it's a symptom of fragmented data management that prevents organizations from scaling their data initiatives.