Lost in translation: Why semantic chaos is the real AI risk
The article warns that "semantic chaos"—the lack of shared business definitions—poses a major risk to enterprise AI by enabling models to confidently scale errors and drive costly …
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Author
Mark Gowdy
5 articles
AI doesn’t have a data problem. It has a navigation problem.
The article argues that enterprise AI success depends less on acquiring more data or larger models and more on implementing a "navigation layer" of business context to ensure data …
Snowflake heist: How to crack the code on Snowflake ROI
To maximize Snowflake ROI, organizations must prioritize proactive architectural design and preparation rather than relying on reactive cost-cutting. By implementing precise data m…
Why CIOs must address identity & data sovereignty amid geopolitical risk
Recent drone strikes on AWS data centers highlighted critical vulnerabilities in cloud and AI strategies related to data and identity sovereignty. Organizations must prioritize bui…
Housekeeping for AI: Why AI Data Governance, Identity and Platform Control Must Come First
The article stresses that most organizations (89%) are unprepared for AI due to significant data, identity, and platform disorganization – essentially a “junk drawer” of tech asset…