Unlock the data foundation that makes enterprise AI work.
Most AI systems fail not because of the model — but because the data underneath is fragmented, duplicated, and disconnected. In a new report, Forrester identifies multimodel data platforms as ‘the missing layer in the AI stack, and how leading organizations are using them to deliver accurate, explainable, production-grade AI at scale.
Access the Forrester report, Multimodel Data Platform: The Missing Layer in Your AI Stack, to learn:
- Why legacy and polyglot data architectures are slowing down AI adoption
- How multimodel platforms unify graph, vector, document, and transactional data for real-time AI
- What CTOs, CPOs, and engineering leaders are prioritizing in their next-generation AI stack
- How companies like NVIDIA, Siemens, and Synopsys are adapting their data strategy for agentic and GenAI workloads
Get the full report to see what’s changing — and why acting now creates a long-term advantage.
This content includes research from Forrester. © Forrester Research, Inc. All rights reserved. Used with permission.
