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Intel(R) Data Analytics Acceleration Library
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Intel(R) Data Analytics Acceleration Library Reviews & Product Details - Page 2

Intel(R) Data Analytics Acceleration Library Overview

What is Intel(R) Data Analytics Acceleration Library?

Intel Data Analytics Acceleration Library (or Intel DAAL) is a software development library that is highly optimized for Intel architecture processors it provides building blocks for all data analytics stages, from data preparation to data mining and machine learning.

Intel(R) Data Analytics Acceleration Library Details
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Product Description

Intel Data Analytics Acceleration Library (or Intel DAAL) is a software development library that is highly optimized for Intel architecture processors it provides building blocks for all data analytics stages, from data preparation to data mining and machine learning.


Seller

Intel Corporation

Description

Intel’s mission is to shape the future of technology to help create a better future for the entire world. By pushing forward in fields like AI, analytics and cloud-to-edge technology, Intel’s work is at the heart of countless innovations. From major breakthroughs like self-driving cars and rebuilding the coral reefs, to things that make everyday life better like blockbuster effects and improved shopping experiences — they’re all powered by Intel technology. With a career at Intel, you have the opportunity to help make the future more wonderful for everyone.

Recent Intel(R) Data Analytics Acceleration Library Reviews

Ekjot S.
ES
Ekjot S.Small-Business (50 or fewer emp.)
4.0 out of 5
"It seems that the library can increase efficiency of converting data into actionable insights."
I like the off-the-shelf deep learning models.
MG
Marko G.Small-Business (50 or fewer emp.)
4.5 out of 5
"Really fast and useful set of tools and information for any big data application"
Provides great performance increase for big data analysis, highly optimized algorithms, transformation, analysis and modelling, and decision making...
Hanumant N.
HN
Hanumant N.Enterprise (> 1000 emp.)
4.0 out of 5
"Easy to use"
Documents are very much simple and easy to understand

Intel(R) Data Analytics Acceleration Library Media

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13 Intel(R) Data Analytics Acceleration Library Reviews

4.3 out of 5
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Verified User in Wireless
UW
Mid-Market(51-1000 emp.)
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What do you like best about Intel(R) Data Analytics Acceleration Library?

Usage of optimized algorithms to boost performance Review collected by and hosted on G2.com.

What do you dislike about Intel(R) Data Analytics Acceleration Library?

Platform dependent and tightly coupled with intel architecture Review collected by and hosted on G2.com.

What problems is Intel(R) Data Analytics Acceleration Library solving and how is that benefiting you?

Linear Regression , Correlation and Variance-Covariance Matrices Review collected by and hosted on G2.com.

Daniel M.
DM
Analyst
Financial Services
Enterprise(> 1000 emp.)
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Validated Reviewer
Review source: Seller invite
What do you like best about Intel(R) Data Analytics Acceleration Library?

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. Review collected by and hosted on G2.com.

What do you dislike about Intel(R) Data Analytics Acceleration Library?

I wish Intel would update their software more often and be a bit more receptive to the communities that use their software programs. Review collected by and hosted on G2.com.

What problems is Intel(R) Data Analytics Acceleration Library solving and how is that benefiting you?

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. Review collected by and hosted on G2.com.

Verified User in Insurance
GI
Enterprise(> 1000 emp.)
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Validated Reviewer
Review source: G2 invite
Incentivized Review
What do you like best about Intel(R) Data Analytics Acceleration Library?

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. Review collected by and hosted on G2.com.

What do you dislike about Intel(R) Data Analytics Acceleration Library?

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. Review collected by and hosted on G2.com.

Recommendations to others considering Intel(R) Data Analytics Acceleration Library:

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. Review collected by and hosted on G2.com.

What problems is Intel(R) Data Analytics Acceleration Library solving and how is that benefiting you?

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. Review collected by and hosted on G2.com.