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

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Mackinnon Giddings
Mackinnon Giddings
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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

Mackinnon은 2020년에 NetApp 및 솔루션 마케팅 팀에 합류했습니다. 그동안 그녀는 엔터프라이즈 애플리케이션 및 가상화에 중점을 두었지만 인공 지능 및 분석에 대한 열정을 발견하게 되었습니다. 현재 마케팅 전문가로 일하고 있는 Mackinnon은 진정한 인간 경험과 혁신적인 기술의 교차점에 초점을 맞춘 메시징 및 솔루션을 제공하기 위해 노력하고 있습니다. 소프트웨어 개발, 패션, 소규모 비즈니스 운영 등 다양한 산업 분야에서 경력을 쌓은 Mackinnon은 참신한 외부인의 시각으로 AI 주제에 접근합니다. Mackinnon은 볼더 콜로라도 대학교의 Leeds School of Business에서 경영학 석사 학위를 취득했습니다. 그녀는 여전히 콜로라도에 거주하고 있으며 잠꾸러기 그레이하운드와 함께 지내며 빈 마고 와인 병을 수집하며 살고 있습니다.Mackinnon Giddings의 모든 게시물 보기

다음 단계

Your business might be data-driven—is it GenAI-ready? | NetApp Blog