跳轉至主要內容

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

Top view of the people discussing in office
Contents

分享本頁

Mackinnon Giddings
Mackinnon Giddings
157 瀏覽

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.

Harness the power of 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.

Harnessing Power Gen AI Image
Many enterprises are experimenting with generative AI. This includes deep learning models that generate high quality content based on large volume of training data allowing organizations to expand productivity and develop new business models.

Drive RAG with NetApp and NVIDIA

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.”

More about NetApp AI solutions

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.

Mackinnon Giddings

Mackinnon Giddings

Mackinnon 於 2020 年加入 NetApp 與解決方案行銷團隊。她當時專注於企業應用程式和虛擬化,後來卻發現了對人工智慧和分析的熱情。Mackinnon 目前擔任行銷專家,致力於推動注重真人體驗與創新技術相結合的訊息傳遞和解決方案。Mackinnon 擁有軟體開發、時尚和小型企業營運等產業背景,以全新的外部觀點來探討 AI 主題。Mackinnon 擁有科羅拉多大學博爾德分校利茲商學院的工商管理碩士學位。她與一隻經常睡覺的灰狗和收藏的大量瑪歌堡酒莊空瓶繼續住在科羅拉多州。查看 Mackinnon Giddings 的所有文章

後續步驟