The pressure to accelerate artificial intelligence (AI) adoption while delivering measurable returns has reached a critical point. While boards are mandating increased AI investment, 92% of data leaders face legitimate concerns about repeating costly implementation mistakes.
The fundamental challenge isn't AI technology but rather the data foundation supporting these initiatives. Most enterprises are attempting to fuel AI innovation through a patchwork of 15+ disparate data management tools. This fragmentation creates more than technical debt by actively undermining the delivery of clean, trusted data that sophisticated AI demands.
This report cuts through the hype to address the core requirements for AI success and delivers a data management strategy that enables:
- 40% reduction in operational costs
- 3x faster AI deployment with automated data quality
- 67% higher AI project success rates