25 customer meetings in 3 days: 5 recurring themes about data and AI in 2026
Five patterns from 25 customer meetings show why AI-ready data products stall on delivery, governance, and readiness. See what leaders shared.
AI won’t fix a broken data foundation: It amplifies it
Data modeling for AI requires consistent semantic definitions. Learn why ungoverned data foundations are the root cause of unreliable AI outputs.
Lost in translation: Why semantic chaos is the real AI risk
AI scales fast on whatever meaning you give it. A semantic layer for AI ensures it works from one trusted definition to dramatically reduce risk.
Data product reusability: Cut costs & scale AI with 3 key changes
Learn how to increase data product reusability to drive faster decisions, stronger AI outcomes, and measurable business growth.
The cost of standing still: what data inaction really risks in an AI-driven market
Data inaction compounds competitive risk. Learn what delaying governed data products costs your organization and how reusable data assets close the gap.
Reuse over rebuild: How trust can unlock the real value in your existing data
New APAC research reveals that even mature data programs struggle with reuse. Learn why visible trust signals are the key to closing the data trust gap.
erwin Data Intelligence 15.1
AI doesn’t have a data problem. It has a navigation problem.
AI data governance is the missing navigation layer for enterprise AI, providing the context, meaning, and direction required to drive AI success.
From data access to data empowerment: why AI changes the data product equation
From data access to data empowerment: learn how governed data products help organizations unlock AI-ready insight at scale.
Snowflake heist: How to crack the code on Snowflake ROI
Learn how to unlock Snowflake ROI with a carefully planned seven-step heist.
The data modeling generation gap: Why teams are rethinking their tooling strategy
Enterprise precision or cloud-native collaboration? Learn which data modeling approach fits your team, or whether you need both.
AI ambition is outpacing data reality and the gap is getting expensive
New 2026 Omdia research reveals how mature, automated data products drive 20%-plus KPI gains. See the benchmarks shaping AI-ready data delivery strategies.
erwin Data Intelligence 15.1
AI in manufacturing isn’t failing. Your data is.
AI in manufacturing is failing, and data is why. Learn how a governed data foundation is the real path to AI ROI for manufacturers.