A Strategic Framework for AI Readiness, Real-Time Decisions, and Unified Governance
Organizations are struggling to manage overwhelming data flows and fragmented technology platforms, hindering their ability to meet business demands and make real-time decisions.
Implementing a data fabric architecture allows businesses to unify diverse data stores and engineering tools into a single, fully integrated environment. Furthermore, a metadata-driven data fabric automates the data supply chain, providing the clean, context-aware data required to accelerate AI models from prototype to production.
In this research paper, analyst John Santaferraro explains how enterprises can accelerate their AI readiness through a data fabric architecture which provides:
- Active metadata to enable safe AI and unified analytics operations.
- Reduced technical debt while securely bridging older legacy systems.
- Accelerated generative and autonomous AI readiness across the enterprise.
