Modernize your data architecture for AI breakthroughs
Most artificial intelligence (AI) adopters take an incremental approach to data modernization. In fact, 61% add AI-specific technology to their existing architecture to support AI innovation, and fewer than half overhaul the data management or analytics aspects of their architecture.
Evidently, AI success depends on a modern data architecture — one that integrates bleeding-edge technology with traditional elements to manage, govern and deliver multi-structured data.
In this BARC report, “Upgrade Your Data Architecture for AI Breakthroughs,” you’ll learn:
- Traditional and new elements of advanced data architectures
- Modernization requirements, use cases and principles
- Adoption drivers, challenges and benefits
