7 Data Infrastructure Questions for AI Success

Discover key steps to build a solid foundation for your projects

Generative AI holds immense potential to transform how we work. But too many GenAI initiatives flounder because the data infrastructure isn’t ready to support this demanding technology.

A big part of the answer: A focus on organizational and infrastructure factors, from storage and processing to security and governance. This guide provides a practical framework for building a robust data foundation to support AI success and reduce the likelihood of costly pitfalls, including:

• How to use fine-tuning and retrieval-augmented generation (RAG) to help a large language model “get” your organization
• Ways a multimodal database can offer an edge for AI workloads
• Why establishing an AI center of excellence might be an effective early step

Tackling these seven data infrastructure questions proactively can help you unlock the true value of AI: meaningful business outcomes.