skip to main content
Close Icon We use cookies to improve your website experience.  To learn about our use of cookies and how you can manage your cookie settings, please see our Cookie Policy.  By continuing to use the website, you consent to our use of cookies.
Global Search Configuration

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

Recommended Articles

  • Service Provider Markets, Consumer & Entertainment Services,...

    MWC 2018 Highlights

    By Ronan De Renesse 27 Feb 2018

    Over 20 of our senior Ovum analysts and consultants attended this year’s Mobile World Congress in Barcelona at the end of February. In between meetings, briefings and presentations, our analyst team were blogging and tweeting about key developments, trends and rumors. Have a look through our daily MWC 2018 Highlights to find out what happened.

    Topics 5G AI IoT Cloud Payments SDN/NFV Smart home

  • Enterprise Decision Maker, Enterprise IT Strategy and Select...

    2017 Trends to Watch: Big Data

    By Tony Baer 21 Nov 2016

    The breakout use case for big data will be fast data. The Internet of Things (IoT) is increasing the urgency for enterprises to embrace real-time streaming analytics, as use cases from mobile devices and sensors become compelling to a wide range of industry sectors.

    Topics Big data and analytics IoT

  • Consumer & Entertainment Services

    US pay TV: Is it facing an existential threat?

    By Adam Thomas 28 Mar 2018

    With US pay TV having endured the worst year in its history, thoughts have inevitably turned to the future. The likelihood remains that the immediate future will remain highly uncomfortable for everyone except the scaled multinational digital platforms.

;

Have any questions? Speak to a Specialist

Europe, Middle East & Africa team - +44 (0) 207 017 7700


Asia-Pacific team - +61 (0)3 960 16700

US team - +1 646 957 8878

+44 (0) 207 551 9047 - Operational from 09.00 - 17.00 UK time

You can also contact your named/allocated Client Services Executive using their direct dial.
PR enquiries - Call us at +44 7770704398 or email us at pr@ovum.com

Contact marketing - 
marketingdepartment@ovum.com

Already an Ovum client? Login to the Knowledge Center now