All of us are now aware of generative AI where the model is trained on massive data so that it is able to generate derivative of the data, either as a summary or something else.

Another type of AI is Predictive AI which also uses lot of data and subjects it to statistical analysis such as clustering and regression to predict an outcome.

NetApp works in this area. They have been working on it since 2018 in collaboration with Nvidia.

They use predictive analysis to predict failures in all types of systems. Clinical trial data of drugs can be compared to other data sets. This way they detect anomalies. It quickens the presentation of data to the regulatory authorities. Predictive AI can be used to predict forest fires. It can also be used in medical imaging.

NetApp also helps customers to store their images and documents. Google and Nvidia’s generative AI later can be used to search these documents, and avoid some documents being searched to let them remain private.

NetApp assists AI models to do ‘model traceability’ — keeping track of documents and datasets used for individual models. Models then can be compared in terms of accuracy.

It is difficult to monetize generative AI. However, predictive AI is easily monetizable, as its outcome is powerful and impactful.