Intel Data Analytics Acceleration Library Optimizes Big Data Analytics

Big data is changing the world of computing by extracting value from the increasing volume, variety, and velocity of data generated in many different industries and domains. Genomics, risk, social network, and consumer preference analysis are just a few examples. Deriving insight and value from big data analytics requires compute-intensive algorithms and compute power. Unfortunately, this is problematic with much of the technology in use today.

Read this Digital Dialogue to learn about issues in big data analytics including:

  • Problems turning big data into useful information
  • The single, optimized library solution
  • Modules that make up Intel DAAL

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