Software 2.0 – Case studies of successful AI deployments by NetApp

The process of operationalizing AI requires massive amounts of data to flow unhindered through a five-stage pipeline, from ingest through archive. As enterprises of all types embrace AI technologies, they face data challenges from edge to core to cloud.

As the data authority on hybrid cloud, NetApp® AI solutions remove bottlenecks at the edge, core, and cloud to enable more efficient data collection, accelerated AI workloads, and smoother cloud integration.

Hundreds of organizations around the world use NetApp’s software to successfully power the AI engines deployed in many industries such as Finance, Manufacturing, Health, Telecom, IT & IT enables services.

We invite you to hear from Deepth Dinesan, Director of Artificial Intelligence, Robotics and Quantum Computing – NetApp, present some of the hand picked case studies of NetApp’s successful AI deployments of our customers and how you can use data to fuel AI led transformation in your organizations.


Deepth Dinesan
Deepth Dinesan

Director of Artificial Intelligence,
Robotics and Quantum
Computing, NetApp

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