The Evolution of Analytics / Hall, Patrick.

Format:

Book

Author/Creator:

Hall, Patrick, author.

Phan, Wen, author.

Whitson, Katie, author.

Language:

English

Subjects (All):

Machine learning.

Artificial intelligence.

Business enterprises--Computer networks--Management.

Business enterprises.

Information technology--Management.

Information technology.

Physical Description:

1 online resource (12 pages)

Edition:

1st edition

Place of Publication:

O'Reilly Media, Inc., 2016.

System Details:

text file

Summary:

Machine learning is a hot topic in business. Even data-driven organizations that have spent years developing successful data analysis platforms, with many accurate statistical models in place, are now looking into this decades-old discipline. But how can companies turn hyped opportunities for machine learning into real business value? This report examines the growing momentum of machine learning in the analytics landscape, the challenges machine learning presents to businesses, and examples of how organizations are actively seeking to incorporate modern machine learning techniques into their production data infrastructures. Authors Patrick Hall, Wen Phan, and Katie Whitson look at two companies in depth—one in healthcare and one in finance—that are seeing the real impact of machine learning. Discover how machine learning can help your organization: Analyze and generate insights from large amounts of varied, messy, and unstructured data unfit for traditional statistical analysis Increase the predictive accuracy beyond what was previously possible Augment aging analytical processes and other decision-making tools

Notes:

Online resource; Title from title page (viewed May 15, 2016)

Includes bibliographical references.

ISBN:

9781492042570

1492042579

OCLC:

1040037724