Your business might be data-driven—but is it GenAI-ready?

Most businesses are experimenting with AI, including generative AI (GenAI), but only about 21% believe that they can scale AI projects across their entire enterprise. A March 2024 IDC survey found that the inability to access data due to infrastructure limitations is the primary reason for AI project failure. Having the right AI-driven data storage infrastructure is critical to boost productivity, cut operational costs, and enhance customer experiences with GenAI.

No matter where you are on the GenAI spectrum, what matters most is making sure that your data infrastructure can handle its complexities simply and safely, across both structured and unstructured data, on premises and in major public clouds. Bring the power of GenAI closer to your data with unified storage that supports all major protocols, serves as a secure enterprise platform for GenAI workloads, and helps effectively manage vast stores of unstructured data.

The key to leveraging GenAI for a competitive edge is combining public data in large language models (LLMs) with proprietary insights unique to your organization. With the addition of retrieval-augmented generation (RAG), you can securely blend proprietary data with dynamic public data – providing unmatched relevance and accuracy.  

NetApp helps customers across industries with their AI-driven initiatives, including applications for conversational AI. More and more, enterprises want to leverage LLMs to talk directly to their proprietary corporate data without compromising the security or privacy of that data. A recent joint effort between NetApp and NVIDIA has advanced RAG for GenAI applications enabling NetApp^® ONTAP^® customers to “talk to their data.”. As Jensen Huang, the founder and CEO of NVIDIA, puts it, “Together, NVIDIA and NetApp can help enterprises build accurate, intelligent generative AI applications that let companies talk to their data — and foster a new wave of business opportunity.” 

The code generation, copywriting, and knowledge discovery capabilities of GenAI are improving rapidly. Organizations are increasing team productivity, driving more revenue, and improving customer experiences—not to mention disrupting business models. If you want to use AI today for use cases like conversational AI, learn how to derive more value from GenAI with NetApp AI solutions and unified data storage built for the AI era.