Intel Machine Learning Scaling Library

What do you like best?

Intel really hit a home run with this one. I like how helpful this software can be in the process of data analysis as well as prediction and training. It lessons the employee's workload, enabling us to be more productive with our time. Missing data can easily and accurately be extrapolated by using Intel's software.

What do you dislike?

I wish Intel would update their software more often and be a bit more receptive to the communities that use their software programs

Recommendations to others considering the product:

This is one of the highest performance libraries available right now. This open source project is worth getting to know, and I expect big things in the future.. Intel(R) Data Analytics Acceleration Library is something we've started using with new system updates wt work, and while it's something that runs in the background, you immediately notice a difference in batch, online, and distributed processing. The computer runs like a dream.

What problems are you solving with the product? What benefits have you realized?

Intel's Data Analytics Acceleration Library helps the Moffitt Cancer Center efficiently analyze research data. This software helps us detect anomalies and it accurately determines underlying trends within the data.