Automated Monitoring of Medical Device Data

This is for big data analytics → ml flow and more → those are for huge data flow → this is very hard to optimize and get.

It is generally platformed for machine learning projects.

Data Bricks → are used in a lot of applications → for every kind of data such as image and more. (super cool → pull the data and analyze them).

This is communication.

And all of these data can be deployed everywhere → for medical issues and more → CT or more scanners.

Predict the need for different devices. (for clinical usage and more).

The machine learning layer is added on top of medical devices → for better workflow.

But a lot of project success as well as from going to research to deployment takes a lot of time.

The model development is such a small part of overall project → this is one of the reasons why → making sure the friction is minimized is critical.

A lot of problems we are facing today → are big data problems → and this is going to continue on.

And common reasons why → companies suffer → are those reasons → scaling and complex data type…

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