Thursday, June 13, 2019

Salesforce bets big on Tableau; Google buys Looker; pattern matching in ML

AI, Analytics and Big Data Digest

Artificial intelligence, BI and data management content from TechTarget | June 13, 2019

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$15.7B Salesforce-Tableau acquisition a direct shot at Microsoft

Don Fluckinger, Senior News Writer

By acquiring Tableau, Salesforce dramatically strengthened its BI and data visualization capabilities. The move boosts Salesforce's ability to compete with Microsoft.
(SearchCustomerExperience.com)

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How pattern matching in machine learning powers AI

Pattern matching sounds like a simple idea, but it's being used to create some highly advanced AI tools, powering everything from image recognition to natural language applications.
(SearchEnterpriseAI.com)

 
AtScale updates data warehouse virtualization platform

Data warehouse virtualization platform AtScale 2019.1 comes with new capabilities, including extended database support, improved security and advanced analytical query abilities.
(SearchDataManagement.com)

 

Google acquisition of Looker to boost Google Cloud analytics

By acquiring BI vendor Looker, Google will enhance its analytics and BI capabilities available via Google Cloud and become a formidable force in the enterprise-level BI space.
(SearchBusinessAnalytics.com)

 

Expert talks convergence of AI, marketing and data privacy

William Ammerman, The author of a new book on the intersection of advertising and marketing with AI and data privacy, talks about influencing the general public with technology.
(SearchEnterpriseAI.com)

EXPERT ADVICE
 

Applications of autonomous robots lead in the enterprise

In enterprise AI, bot technology is leading the charge. Seamless integration and process streamlining are initial benefits, but the true profit lies in what comes next -- auto-AI.
(SearchEnterpriseAI.com)

 

The main picks for Hadoop distributions on the market

Check out the top Hadoop distribution vendors in the market right now to help you and your team determine which product is best for your organization's big data requirements.
(SearchDataManagement.com)

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