Unified data: The winning formula for the AI grand slam

TENNIS is gaining traction in the Philippines, following Alex Eala’s rise to global fame this year. The first Filipina to break into the world’s top 100 female tennis players, the 20-year old now stands alongside Filipino athletes who have put the nation on the sporting map.

- By Gavin Barfield

In many ways, tennis — a sport requiring skill, precision, and strategy, is a fitting metaphor for how organizations approach agentic AI. Giving an amateur player the best racket, shoes, or access to the best tennis courts is not enough. To become truly competitive, that player needs consistent training and high-quality, trusted input from coaches. Likewise, even the most advanced AI agents are ineffective without the input of trusted, unified data.

Without trusted data, AI outputs are often inaccurate, overly generic, or simply lacking the specific context needed to drive meaningful action. It’s no surprise that, according to a Salesforce study, the majority (85%) of Filipino service professionals using AI believe having better access to data will improve the support they provide. The reality is that many organizations, in their rush to embrace the latest AI advancements, are overlooking a critical element for success: the ability to scale their solutions and consistently deliver reliable outputs.

DOMINATE THE AI COURT WITH CONTEXT

Businesses have been told time and again: “Your AI is only as good as your data.” They invest significant effort into cleaning and structuring their data. Yet, many still struggle to achieve meaningful and useful outputs from their AI agents.

The problem? AI agents don’t just need data; they need context — the deep, nuanced understanding of the business, embedded in an organization’s enterprise knowledge.