NetApp INSIGHT: Jeff Baxter on the AI Data Engine

I sat down with Jeff Baxter, NetApp to discuss about the announcements from INSIGHT to go deep on the new announcements today and why they matter for teams building with AI.

We covered what this means in practice for customers. The NetApp AI Data Engine moves data to the right place at the right time, manages metadata, lineage, and versioning so work is reproducible, and adds AI powered ransomware detection so teams can ship with confidence. It runs as one platform across on premises and all major clouds, so hybrid stays simple and cost aware.

Highlights from our conversation:

• From data to innovation. A single data platform that reduces handoffs and cuts wait time for data scientists and engineers.

• Reproducible AI by design. Metadata, lineage, and versioning are first class so you can rerun, compare, and promote models with clarity.

• Security that keeps pace with AI. AI powered ransomware detection plus built in controls to protect sensitive data without slowing teams down.

• One control plane. On prem and across major clouds with consistent operations, cost visibility, and policy enforcement.

My take:

• This is about operational discipline, not hype. Reproducibility and lineage are the difference between a demo and a dependable AI program

• Security has to be native to the data platform. If it is bolted on later, teams hesitate and AI work stalls

• Hybrid is the real world. A unified approach across on prem and clouds reduces complexity and keeps options open

If you are scaling AI and want fewer blockers between data and outcomes, this will help.

“Explore NetApp AI solutions”

AI solutions page: https://www.netapp.com/artificial-intelligence/?utm_campaign=cross-aiml-multi-all-ww-digi-spp-ravit_/_baxter_yt_interview-1760561150310&utm_source=youtube&utm_medium=video&utm_content=video

#data #ai #insight2025 #netapp #theravitshow