Thursday, June 14, 2018

AI systems create ethical issues that businesses must address; Tableau buys AI startup to aid BI users; key criteria for choosing data discovery tools

AI, Analytics and Big Data Digest

Artificial intelligence, BI and data management content from TechTarget | June 14, 2018

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Addressing the ethical issues of AI is key to effective business use
By Kathleen Walch, Contributor

Companies must confront the ethical implications of AI use as they roll out technologies that have the potential to reshape how humans interact with machines. AI systems that play loose with such concerns may backfire on businesses.
(SearchEnterpriseAI.com)

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Tableau acquisition of AI startup aims at smarter BI software

Tableau is buying AI startup Empirical Systems in a plan to provide users with automated data modeling capabilities that can help enable broader use of BI and analytics applications.
(SearchBusinessAnalytics.com)

 
Microsoft-GitHub buy confirms open source role in cloud

The looming Microsoft-GitHub pairing confirms the company's rebirth as an open source friend. Increasing the use of data tools on the Azure cloud is part of the motivation for that.
(SearchSQLServer.com)

 

Databricks adds tools to unify machine learning frameworks

New products from Databricks aim to simplify machine learning integration -- something that has become more difficult as the number of machine learning tools has multiplied.
(SearchEnterpriseAI.com)

 
Google Cloud data lake fuels cloud payment processing flow

To create a cloud payment processing system, Global Payments first deployed a data lake in the Google Cloud. Getting quick user feedback from customers was another early step.
(SearchDataManagement.com)

EXPERT ADVICE
 

Choosing the right enterprise data discovery platform

Obviously, cost and scalability factor into data discovery platform buying decisions. But other features, like visualizations and data support, should also carry significant weight.
(SearchBusinessAnalytics.com)

 
AI voice assistant technology has enterprise promise, pitfalls

Intelligent voice assistant devices popular among consumers are making their way into enterprise applications, but businesses need to be mindful of several challenges.
(SearchEnterpriseAI.com)

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