AI’s Next Competitive Advantage Is the Trusted Data Foundation
The AI conversation has evolved.
Ten years ago, Doug Laney made the case in Infonomics that information should be treated as a corporate asset, not simply a byproduct of business operations. Today, as enterprises race to adopt generative and agentic AI, that idea has become more relevant than ever.
A year ago, enterprise leaders were asking which models to use. Today, they’re asking a much more important question: Is our trusted data foundation ready for AI?
That shift was at the heart of a recent discussion moderated by Reltio’s Head of Analyst Relations, Kris Barondess, where Reltio Field CTO Guy Vorster joined Douglas Laney, Data, Analytics & AI Strategy Advisor and author of Infonomics, to explore why a trusted data foundation has become essential for enterprise AI.
Their conclusion was clear: as AI models become increasingly accessible, competitive advantage is moving away from the models themselves and toward the quality, trust, and context of an organization’s enterprise data.
AI has elevated data from a technical resource to a business asset
For years, organizations have talked about treating data as a strategic asset. AI has made that imperative.
As Laney explained, organizations can no longer separate AI strategy from data strategy. Questions around data quality, governance, economic value, and lifecycle management have become central to measuring AI success.
The organizations seeing the greatest return from AI aren’t necessarily those with the most data—they’re the ones that understand what data they have, trust it, and invest in building a trusted data foundation that supports business decisions.
Vorster noted that this shift is also changing executive conversations. What was once viewed as an IT initiative has moved into the boardroom, as business leaders recognize that AI’s potential is constrained less by model capabilities than by the strength of the trusted data foundation behind them.
The trusted data foundation enables unified business context
Both Laney and Vorster agreed that the biggest obstacle to enterprise AI isn’t a lack of data—it’s a lack of context.
Most enterprise data remains fragmented across applications, with different systems maintaining different versions of customers, suppliers, products, and other core business entities.
While AI models can process enormous amounts of information, they cannot infer the relationships and business meaning that exist across disconnected systems.
A trusted data foundation solves that challenge by creating context intelligence – a shared, real-time understanding of business entities, relationships, interactions, and meaning that AI systems can use to reason, decide, and act with confidence.
By unifying trusted enterprise data, organizations create the business context AI needs to deliver more accurate insights, automate with greater confidence, and generate outcomes the business can trust.
As AI agents begin making decisions and executing work autonomously, that trusted data foundation becomes even more important. Without it, organizations risk scaling poor decisions just as quickly as good ones.
Why this matters now
The discussion also reinforced the broader vision behind SAP Business AI and Reltio’s role in helping enterprises prepare for what’s next.
The future isn’t simply about deploying more AI. It’s about building a trusted data foundation that enables AI to operate across the enterprise with a complete understanding of the business.
By creating trusted, connected data across both SAP and non-SAP environments, Reltio helps organizations transform that trusted data foundation into unified business context and context intelligence, allowing AI to move beyond isolated copilots toward coordinated, enterprise-wide decision-making.
In other words, the future belongs not to organizations with the biggest models, but to those with the strongest trusted data foundation.
Looking ahead: From the trusted data foundation to the self-driving enterprise
If the trusted data foundation is the foundation, unified context is the operating system.
As enterprises move from AI assistants to autonomous agents capable of coordinating work across functions, the next challenge becomes enabling those agents to make accurate, explainable decisions in real time.
That requires more than clean data. It requires a trusted data foundation that continuously connects customers, suppliers, products, assets, and operations into a unified view of the business.
From there, organizations can build context intelligence that enables AI to reason across the enterprise, orchestrate work across functions, and ultimately power the self-driving enterprise.
That’s the journey Reltio and SAP are helping enterprises navigate – and it sets the stage for the next conversation in this series.
