The problem with
AI and fragmented governance
The hype is real. And smart, ambitious data and business leaders are beaming with visions of the productivity and profits they’ll achieve with AI. The market forecasts are bullish. The latest IDC report estimates AI will add ~$20T to the global economy by 2030.1
But there’s a critical reality emerging—a widening gap between what companies want to do with data and AI and what they can do. A fundamental challenge persists: fragmented governance. In most organizations, data exists in isolated pockets, creating blind spots in visibility, context and access control.
Fragmentation isn’t simply a technical obstacle. It stifles the capacity to scale data and AI initiatives. It can strangle your business.
Inability to leverage data across silos
Inconsistent policy enforcement
Reduced trust in data quality
Limited visibility into data lineage
Barriers to scalable AI adoption
1 Source: ‘IDC: Artificial Intelligence Will Contribute $19.9 Trillion to the Global Economy through 2030 and Drive 3.5% of Global GDP in 2030.’ September 17 2024.
View our recent webinar to learn the importance of unified governance
The stakes couldn’t be higher. Organizations are rushing to adopt AI without solving their governance gaps, causing them to build their futures on fractured foundations. The organizations that will thrive in this new era are those that recognize a fundamental truth: unified governance isn’t just about control—it’s about acceleration. By implementing unified governance for data and AI across every system, source and user, you can create a foundation for rapid innovation while ensuring compliance and trust.
This shift requires a new paradigm: Data Confidence.
Data Confidence is the way you and your colleagues feel when your organization can accelerate every data and AI use case — without compromising on safety or quality.
It happens when governance becomes an enabler rather than a bottleneck. Your people can find, understand and use trusted data across every system. Business context flows alongside technical metadata. And policies apply consistently everywhere data lives.
Bottom line: When your people can trust, comply and consume data confidently, innovation accelerates. That’s Data Confidence.
