Why Enterprises Need a Governed AI Data Foundation
Enterprise data infrastructure was largely built for reporting cadences, not for systems that make decisions continuously. As AI adoption accelerates, the gap between analytics-ready data and AI-ready data has become the primary reason projects stall. Closing that gap requires a secure cloud foundation, governed data, and disciplined use case delivery working together.
How AI Initiatives Are Actually Performing
28%
of AI use cases fully succeed and meet ROI expectations
20%
fail outright, with no path to production
57%
of failures blamed on expecting too much, too fast
38%
of setbacks tied to persistent skill gaps
The Cost of Getting
This Wrong
This Wrong
$30 to $40 billion
already invested in enterprise generative AI
5%
of pilots achieve rapid, measurable revenue impact
95%
show zero measurable profit or loss impact
How a Governed AI Data
Foundation Helps
Foundation Helps
- Assess the AI readiness of existing data assets
- Establish a governed, shared semantic layer
- Modernize and consolidate the platform on secure cloud infrastructure
- Build reusable, industry-specific use cases instead of one-off pilots
- Move from periodic reviews to continuous data quality checks
- Put access controls, lineage, and audit trails into daily practice
Key Benefits of Getting the Foundation Right
Trusted,
governed data
Faster time
to AI value
Lower project
abandonment risk
Stronger audit and
compliance posture
8
use case
offerings
offerings
7
accelerators
and frameworks
and frameworks
6
industries
served
served
3
partners, one
connected foundation
connected foundation
NuSummit, AWS, and Snowflake will be unpacking this exact problem together at an upcoming joint session. If your team is working through similar data foundation questions, talk to us..
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SOURCES
- Gartner, “Lack of AI-Ready Data Puts AI Projects at Risk,” February 26, 2025. gartner.com/en/newsroom/press-releases/2025-02-26-lack-of-ai-ready-data-puts-ai-projects-at-risk
- Gartner, “Gartner Says AI Projects in I&O Stall Ahead of Meaningful ROI Returns,” April 7, 2026. gartner.com/en/newsroom/press-releases/2026-04-07-gartner-says-artificial-intelligence-projects-in-infrastructure-and-operations-stall-ahead-of-meaningful-roi-returns
- MIT Project NANDA, “The GenAI Divide: State of AI in Business 2025,” July 2025, as reported by Fortune. fortune.com/2025/08/18/mit-report-95-percent-generative-ai-pilots-at-companies-failing-cfo
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