Thursday, October 18, 2018

How to do machine learning the right way for business uses; jobs that AI isn't likely to take; Oracle database performance management tips

AI, Analytics and Big Data Digest

Artificial intelligence, BI and data management content from TechTarget | Oct. 18, 2018

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3 ways to make machine learning in business more effective
Nipa Basu, Contributor

Dun & Bradstreet's chief analytics officer offers three tips on how to integrate machine learning tools into business processes to help drive better decision-making.
(SearchBusinessAnalytics.com)

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NEWS
 
AI taking jobs is not a concern for certain workers

AI and job loss may turn out to be among the biggest stories of this century, but workers in certain fields don't have nearly as much to worry about as others.
(SearchEnterpriseAI.com)

 
Looker 6 update adds analytics applications to BI tool

With Looker 6, users of the BI platform will be able to access packaged applications that are designed for specific uses, such as web analytics and digital marketing analytics.
(SearchBusinessAnalytics.com)

 

Nationwide sees ups, downs with self-service Tableau tools

Tableau provides users at insurer Nationwide with a versatile, self-service analytics platform. But the company's IT team faces some challenges with the self-service software.
(SearchBusinessAnalytics.com)

 
MarkLogic Data Hub Service aims to ease cloud use of DBMS

MarkLogic rolled out a cloud-service version of its NoSQL database management system, a move designed to make the technology easier to deploy and more cost-effective for cloud users.
(SearchDataManagement.com)

EXPERT ADVICE
 

Keep your Oracle databases on the right performance path

This online handbook examines Oracle database performance management trends and offers insight and advice on using performance monitoring and tuning tools in Oracle systems.
(SearchOracle.com)

 

11 features to look for in data quality management tools

As the need for quality data has increased, so have the capabilities of data quality tools. Learn how collaboration, data lineage and other features enable effective data quality.
(SearchDataManagement.com)

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