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Introduction

Machine learning was a central theme to the announcements at Oracle OpenWorld 2017. Machine learning is being used in the Oracle Analytics Cloud environment to expand insights consumption, power deeper insights, and accelerate time to insight.

Highlights

  • Machine learning is being used in the Oracle Analytics Cloud environment to expand insights consumption, power deeper insights, and accelerate time to insight.
  • Oracle Analytics Cloud is leveraging machine learning to help eliminate human bias from the analysis process, by uniformly assessing large data sets for correlations and relationships.
  • Application of machine learning in the Oracle Analytics Cloud environment frees human users to focus on uniquely cognitive tasks, such as interpretation of data and social collaboration.

Features and Benefits

  • Assesses Oracle's strategic vision for the Oracle Analytics Cloud product and evaluates how machine learning supports the pillars of that vision.
  • Identifies some of the factors contributing to lower-than-desired analytics insight consumption within the modern enterprise.
  • Identifies key features and functionality on the development roadmap for the Oracle Analytics Cloud offering.
  • Assesses the benefits of machine learning-powered features in a self-service analytics and business intelligence ecosystem.
  • Evaluates the potential impact of machine learning-powered analytics features on human roles within the enterprise.

Key questions answered

  • How does the product roadmap for the Oracle Analytics Cloud fit into Oracle's broader vision for machine learning?
  • How is machine learning being used in the Oracle Analytics Cloud to broaden the enterprise audience of data consumers?
  • What machine learning and natural language features are being added and developed within the Oracle Analytics Cloud?
  • Why is machine learning critical to driving both data consumption and the development of a data-centric enterprise culture?
  • How will the daily role of humans be modified by the addition of machine learning-powered features in analytics and business intelligence products?

Table of contents

Ovum view

  • Summary
  • Machine learning helps reach a larger audience of users
  • Machine learning seeks to eliminate human bias in analytics
  • Machine learning enables humans to focus on uniquely cognitive talents

Appendix

  • Further reading
  • Author

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