Thursday, August 8, 2019

Data scientists vs. automated machine learning tools; HPE buys MapR's assets; data ethics minefields

 
AI, Analytics and Big Data Digest

Artificial intelligence, BI and data management content from TechTarget | August 8, 2019

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The future of data science and AI points to automatic tools

Kathleen Walch, Contributor

The relationship between data scientists and companies using AI is evolving rapidly -- and shifting from a focus on highly skilled analytics professionals to less-technical employees with access to automated tools.
(SearchEnterpriseAI.com)

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HPE buys MapR assets to fuel big data, AI applications

Struggling big data vendor MapR goes out of business, selling its technology and intellectual property to HPE. The deal marks the continuing decline of the on-premises Hadoop market.
(SearchDataManagement.com)

 
Merger and acquisition activity is altering the BI landscape

From Qlik's acquisition of Podium Data through Salesforce's purchase of Tableau, the last year has seen a wave of consolidation among BI vendors, as detailed in this infographic.
(SearchBusinessAnalytics.com)

 

Data ethics issues create minefields for analytics teams

Organizations must map out ethical boundaries for data mining and analytics applications, according to participants in a roundtable discussion on enterprise data ethics.
(SearchBusinessAnalytics.com)

 

Splunk Business Flow shows vendor's heightened focus on BI

Long known as a data security and IT monitoring vendor, Splunk is now honing its data analytics tools and making a bigger foray into BI -- though still primarily for IT and security uses.
(SearchBusinessAnalytics.com)

EXPERT ADVICE
 

Analyst on enterprise AI expectations and reality

Analyst Alan Pelz-Sharpe, the author of an upcoming book on enterprise AI, talks about realistic AI deployment and dispels some of the AI myths that can be harmful to enterprises.
(SearchEnterpriseAI.com)

 

SQL Server in Azure options and what they offer database users

On-premises SQL Server databases can be moved to the Azure cloud in several different ways. Here's what you'll get from each of the options for migrating SQL Server to Azure.
(SearchSQLServer.com)

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