The Link Between Scalable Machine Learning and Modern Analytics

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It’s estimated that every day we generate 2.5 quintillion bytes of data, and organizations are one of the largest creators of that data. There is so much of it, but we often struggle to make meaning from it. What’s the point of collecting data if you aren’t using it as a competitive advantage? Machine Learning technologies and data science are now making it possible to turn raw data into meaningful insights. But how?

Join Juan Malaver, Data Science Consultant at eCapital Advisors, for a webinar on leveraging the full power of technologies like Apache Spark and Incorta to make Machine Learning scalable for your organization. Juan will preview a streamlined approach for delivering machine learning insights through these key pillars:

  • Data Collection
  • Data Cleaning
  • Feature Engineering
  • Model Training
  • Model Tuning and Evaluation
  • Enterprise Templates

During the webinar, we will show examples of organizations that have begun to use Machine Learning through Apache Spark and Incorta to create real, meaningful value for business leaders.


Juan Malaver | Data Science Consultant, eCapital Advisors

Juan is passionate about helping businesses understand their data and helping them extract the most value from it with meaningful and actionable analysis. Juan is currently a Data Science Consultant at eCapital Advisors helping various clients retain their competitive edge in the advent of big data. He graduated from the University of Minnesota, Twin Cities with dual degrees in Economics and Statistics. In his free time, Juan likes to play tennis, practice his guitar skills, and read fiction novels from authors around the world.

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