FUTURIOM REPORT: Data Management in the Age of AI – What You Need to Know
AI’s rapid evolution has transformed data management from a background IT function into a strategic driver of enterprise success. This report unpacks the complex landscape of AI ready data—spanning quality, governance, storage, vectorization, metadata, and high-performance delivery pipelines—and explains why clean, well-structured, and high throughput data is now essential for effective training, inference, and agentic AI systems. Through a practical, market wide lens, it breaks down the steps required to prepare data for AI workflows, highlights how vendors across storage, software-defined solutions, and data platforms are adapting, and outlines why no single product can meet all requirements. The result is a clear, actionable view into what enterprises must do to build high-performing, scalable, and trustworthy AI data foundations.
Read this report to:
- Understand why data quality, governance, and architecture now determine AI success.
- Learn the full workflow required to prepare data for training, inference, and RAG—without hype.
- See how leading vendors across storage, SDS, and data platforms are adapting to AI workloads.
- Get clarity on vectorization, metadata, throughput, and GPU optimized data delivery. Learn why no single platform solves AI data management—and how to assemble the right ecosystem.
