5 ways to scale AI to value
Go from pilots to payoffs with a modern data infrastructure
Most AI projects never make it to production.
8%
Only 8% of companies have scaled AI beyond pilots.[1]
Why AI initiatives stall before delivering value
As organizations scale AI, they encounter the same structural barriers:
- Fragmented data environments that slow pipelines
- Inconsistent data access across on-premises and cloud
- Security gaps that expose models and training data
- Infrastructure that can't keep pace with AI performance demands
81%
of IT leaders cite data silos as a major barrier to digital transformation
What organizations that scale AI do differently
Organizations that succeed don't rely on isolated tools or point fixes. Instead, they build a modern data infrastructure designed to support AI end-to-end.
- Break down data silos and accelerate data pipelines
- Embed security directly into the data layer
- Enable seamless data mobility and unified control across hybrid cloud environments
- Aligning infrastructure decisions with business outcomes
Stop settling.
Start Leading.
Scale AI to value with the NetApp data platform, built to power whatever comes your way. It's what your AI has been waiting for.
.png?width=5760&format=avif&disable=upscale)