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External reviews

4 reviews
from G2

External reviews are not included in the AWS star rating for the product.


    Wireless

Hands on exp

  • May 15, 2021
  • Review provided by G2

What do you like best?
Usage of optimized algorithms to boost performance
What do you dislike?
Platform dependent and tightly coupled with intel architecture
What problems are you solving with the product? What benefits have you realized?
Linear Regression , Correlation and Variance-Covariance Matrices


    SUDHAKAR K.

Research project

  • May 15, 2021
  • Review provided by G2

What do you like best?
In fact the Intel is the first to initiate academic resources of IoT, AI, Analytics, ML, DL.
What do you dislike?
There's nothing to dislike in the work of Intel
What problems are you solving with the product? What benefits have you realized?
Data analytics of real world problems in society including Agriculture, business, marketing


    Daniel M.

Highly informative and innovative software that is easy to use

  • June 26, 2018
  • Review provided by G2

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.
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. Problems in research often arise when survey questions are unanswered or illegible and the underlying data is lost. However, this program can be used to effectively extrapolate the missing data based off of the remaining responses.


    Insurance

Speeds up big data analysis, makes our computers run like a dream

  • November 24, 2017
  • Review provided by G2

What do you like best?
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 do you dislike?
There's nothing I can say that I dislike, but as it's a relatively new tool that's been implemented, I understand it's a work in progress.
What problems are you solving with the product? What benefits have you realized?
Intel(R) Data Analytics Acceleration Library has helped tremendously because it helps speed up big data problems. This allows us to multitask and handle many tasks more efficiently.
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.


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