More than a third (36%) of business, data and artificial intelligence (AI) leaders say their lack of a defined architecture and roadmap is a top challenge, and another 29% cite cloud modernization and platform selection.

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