From Cloud Wars · John Siefert · · 50s
AI Projects Need Data Readiness
Why AI initiatives fail without clean data and governance.
In brief
Why AI initiatives fail without clean data and governance. 80% of AI projects don't deliver expected value due to poor data readiness and governance. Originally reported by Cloud Wars.
AI Investment Value
Organizations struggle to get value from AI investments as 80% of initiatives don't meet expected outcomes.
“All the underlying pillars that are required for these things to actually work and actually provide value, those need to be revisited and looked at”
Data Readiness Challenge
Data readiness is the biggest single issue for AI projects requiring strong governance and iterative approaches.
“the biggest single issue that’s out there right now”
AI Adoption Strategy
Simms focuses on building organizational foundations before implementing AI technology.
“you don’t put on the shingles and the shutters and the paint before you actually build the foundation and the frame”
New AI Roles
AI will create new roles focused on governance and engineering for system implementation.
“roles focused on governance and engineering”
Critical Success Factors
Clean data, structured and unstructured data, and governance are essential for AI projects to scale.
“clean, organized, and ready to support AI systems and workflows at scale”
Here's the gist
80% of AI projects don't deliver expected value due to poor data readiness and governance.
