Thursday, July 19, 2018

Crucial data science skills for AI and big data analytics; business analytics master's programs bloom; six top SQL Server sample databases

AI, Analytics and Big Data Digest

Artificial intelligence, BI and data management content from TechTarget | July 19, 2018

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FEATURED ITEM
Right data science skills spawn success in AI, big data analytics efforts
 

AI and big data analytics initiatives require a broad set of skills -- and putting all of those skills in place often takes teams of data scientists with different strengths. This handbook looks at crucial data science skills and offers advice on hiring and training data scientists.
(SearchEnterpriseAI.com)

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NEWS
 
Demand rising for business analytics education programs

More colleges are offering master's degrees in business analytics. The graduates can help companies build up analytics capabilities, particularly in smaller organizations.
(SearchBusinessAnalytics.com)

 
Chief data officer role still searching for consensus

The job of chief data officer can involve many things: regulations, innovation, AI and more. Consultant Randy Bean discussed the role ahead of MIT's annual CDO conference.
(SearchDataManagement.com)

 

AI for business operations starts to offer real business value

Businesses are starting to implement AI in their operations to smooth out back-office processes and streamline repetitive tasks that currently take too much time for humans to handle.
(SearchEnterpriseAI.com)

 
The future of SPARC/Solaris is cloudy -- in multiple ways

Cutbacks by Oracle have put the future of SPARC and Solaris in doubt, but the vendor says it's still committed to the server technologies as part of its enterprise cloud strategy.
(SearchOracle.com)

EXPERT ADVICE
 

Six sample databases for SQL Server and how to find them

SQL Server sample databases are useful for test and dev purposes, but they can be difficult to parse. Use this overview to decide which ones to use and to find out how to access them.
(SearchSQLServer.com)

 
How graph data modeling can help evaluate database tools

Mapping data to a graph model can be challenging, but it can also help an organization create prototypes to evaluate the different graph database tools in a growing market.
(SearchDataManagement.com)

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