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The Confidence Gap: Why Verified Data Is the Foundation of Modern Recruiting
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Most organizations are pursuing AI initiatives without the foundational capabilities needed to scale them, and the result is a growing graveyard of pilot projects that never made it to production. Despite rising AI maturity scores and increasing organizational awareness, skills gaps, data quality issues, and change management challenges continue to block enterprises from realizing measurable business value from their AI investments.
In a recent TDWI webinar sponsored by ZoomInfo, TDWI fellow Prashanth Southekal and ZoomInfo VP Adam Smith examined the latest findings from the TDWI AI Readiness Assessment, which tracks how organizations across business, IT, and operations are progressing across five critical dimensions of AI readiness. Download the free report to get their expert analysis and actionable recommendations for moving your AI initiatives from experimentation to production, including:
Where organizations currently stand across five dimensions of AI readiness and what the year-over-year progress from 2025 to 2026 actually signals about enterprise maturity
Why the high rate of AI pilot failures may be less about the technology and more about how organizations are defining and scoping their use cases from the start
How to strengthen your data foundation so that it is not just available, but machine-readable, governed, and built to support AI at scale
What it takes to build the organizational and operational maturity needed to move from fragmented pilots to coordinated, production-grade AI deployments that deliver consistent ROI
Download the report now and get the expert-backed framework your team needs to advance along the AI value chain and turn readiness into results.
