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How AI and Semantics Will Shape the Future of Data
Dear Data Visionair,
We’re at a pivotal moment in data strategy. The exponential growth of data demands a shift—one where we stop trying to force-fit traditional approaches into increasingly complex systems and instead embrace new paradigms.
At the heart of this transformation lies semantic layers and generative AI, tools that don’t just manage complexity—they simplify it.
This isn’t just about technology; it’s about enabling human intelligence through AI:
AI that understands your data’s context, translating natural language into precise, actionable SQL.
Systems that deliver 92.5% accuracy, redefining what’s possible in query reliability and speed.
Knowledge graphs and semantic layers that empower every level of your organization to access, trust, and act on data.
As a data strategist, I see this as more than an advancement—it’s a revolution in how decisions are made. Semantic layers act as the bridge between raw data and meaningful insights, enabling AI to deliver answers that truly reflect business needs.
In this whitepaper, we explore:
The role of semantics and context in generative AI.
Real-world results that prove this approach works.
The strategic blueprint for adopting these tools in your organization.
This is more than a technical deep dive—it’s a vision for the future.
The path forward is clear, and I’d be honored to help you navigate it.
Looking ahead,
Yves Mulkers.
Data Visionary and Strategist