In 2025, data fabric will come to fruition and be recognized as the only viable infrastructure to enable GenAI at scale, seamlessly connecting data sources and embedding governance to ensure secure, high-quality AI outputs. Better yet, advancements will enable enterprises to reap the benefits quickly, allowing them to deploy turnkey data fabric in minutes versus building it over months or years with expensive tools and resources.
Robust Semantic Models Will Determine GenAI Success in the Enterprise
While enterprises will better understand netherlands rcs data the workings of GenAI applications, co-pilots, and AI agents in 2025, their effectiveness and utility will hinge on the accuracy and relevance of the underlying data they leverage. on having a robust semantic model that integrates directly with data, ensuring contextual understanding and relevance. These models provide a critical framework for aligning data with business terms, reducing risks of biased or misleading outputs, and improving the precision and trustworthiness of AI-driven insights.
In the coming year, organizations will increasingly prioritize semantic models as the foundation for enabling GenAI to deliver meaningful, business-critical outcomes. Platforms that seamlessly integrate active metadata to build and leverage semantic layers will become essential to unlock the full power of GenAI.