Only 15% of companies have the necessary processes in place to realize their full AI potential, according to IDC. Where do you stand? Find out with this short quiz.
A next-generation data management engine will drive AI to new heights. Many companies are challenged with integrating data into their enterprise AI workflows. Data is often scattered across complex environments in different systems and formats. What if there was an innovative solution?
As the volume of disparate data continues to grow, explore why compute, storage, and energy demands could cripple a less-than infrastructure.
Read the whitepaperTo maximize your AI projects, you need to simplify. Hear from Ritu Jyoti, Global AI Research Lead at IDC, and Russell Fishman, Sr. Director of AI Solutions at NetApp.
Watch nowThe most common AI business drivers involve increased operational efficiency, improved employee productivity, and faster innovation. But how do you start?
Learn moreMaking your data infrastructure more seamless, more dynamic, and higher performing than ever before.
Securely store any data type, power any workload, consume any way
Learn moreSeamless and secure data management; Optimized performance
Learn moreAddress use cases and workloads that matter most to your business
Learn morespeed improvement in diagnosis
We are actively using AI for faster, accurate diagnosis.
Alex Larson,
Chief Technology Officer, Healius
powerful
data
centers
data
racks
of
hardware
Confidence—it’s built-in, which means we have a go-to-market plan.
Mike Valora,
Technical Solutions Architect, World Wide Technology
lower VM and container costs
I love that NetApp technology enables a self-determining team.
Byron Baynham,
Senior Manager Cloud and Infrastructure Platform, AGL
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