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Introduction

Adatao differentiates by delivering predictive analytics outside the usual audience of data science to business end users. Its combines machine learning, natural language processing, and a collaborative environment that allows skilled practitioners and end users to dynamically refine big data analytics.

Highlights

  • Adatao has built an analytics platform on top of Spark and Flink that spreads predictive analytics beyond the usual audience of data scientists and Python or R programmers, directly into the hands of business end users.

Features and Benefits

  • Analyzes how Adatao harnesses machine learning and natural language processing, with in-memory compute engines such as Spark, to deliver predictive analytics on big data to nontechnical business end-user audiences.
  • Positions and differentiates Adatao among other emerging big data analytics tool providers.

Key questions answered

  • How does Adatao deliver predictive analytics on big data outside the core audience of data scientists?
  • What is Adatao's prime challenge to delivering an analytics tool that allows end users and data scientists to collaborate?

Table of contents

Summary

  • Catalyst
  • Key messages
  • Ovum view

Recommendations for enterprises

  • Why put Adatao on your radar?

Highlights

  • Background
  • Current position

Data sheet

  • Key facts

Appendix

  • On the Radar
  • Further reading
  • Author

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