Thursday, May 2, 2019

How automation affects data scientists' roles; SAS Viya gets AI updates

AI, Analytics and Big Data Digest

Artificial intelligence, BI and data management content from TechTarget | May 2, 2019

TechTarget
FEATURED ITEM

Future data scientists need business and
deep learning skills

Brian Holak, News and Features Writer

As automation grows, data scientists will focus more on business needs, strategic oversight and deep learning, and less on model creation and other routine tasks.
(SearchBusinessAnalytics.com)

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NEWS
 

SAS Platform update adds AI
to Viya cloud analytics tools

A new version of the SAS analytics platform adds a variety of AI features to SAS Viya, the cloud-based software that SAS hopes will secure its place in the AI future.
(SearchBusinessAnalytics.com)

 
An animated guide to creating
a business strategy for AI

Using AI and machine learning to automate and augment business processes is the future of successful work. Without a solid AI business strategy, leaders can risk underperformance.
(SearchEnterpriseAI.com)

 

Augmented data analytics overshadows traditional BI

Automated functionality is being added to BI software to help users find and analyze data. This handbook looks at the benefits and challenges of augmented analytics.
(SearchBusinessAnalytics.com)

 

USAA adds data engineering
skills to speed data science

When the United Services Automobile Association's data science team wasn't getting data in the right format, the team lead realized the USAA needed more data engineers.
(SearchDataManagement.com)

EXPERT ADVICE
 

Creating an Oracle Multitenant
container database and PDBs

Database administrator Brian Peasland outlines how to create the container databases and pluggable databases that are at the heart of the Oracle Multitenant architecture.
(SearchOracle.com)

 

Beyond customer sentiment: Putting NLP technology to work

Natural language processing tools and apps have finally arrived -- but how are organizations putting NLP to work? Here are some possibilities that might not be obvious.
(SearchBusinessAnalytics.com)

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