Thursday, October 11, 2018

How augmented analytics tools can help BI users; data scientists tap business data experts; machine learning takes on unstructured data

AI, Analytics and Big Data Digest

Artificial intelligence, BI and data management content from TechTarget | Oct. 11, 2018

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FEATURED ITEM
AI in analytics tools augments and bolsters business intelligence
 

New augmented analytics and automated machine learning technologies aim to streamline the BI and analytics process for users. The October issue of our Business Information e-zine takes an in-depth look at the emerging tools and how they can be used to uncover information more quickly.
(SearchDataManagement.com)

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NEWS
 
Data scientists use business ties to boost data knowledge

To ensure that advanced analytics applications are relevant to business operations, data science teams increasingly are collaborating with workers who are experts on business data.
(SearchBusinessAnalytics.com)

 
RPA strategy takes advantage of fast-growing robotics market

The robotic process automation market is growing rapidly, and it's little wonder why. Businesses can deploy RPA tools quickly and potentially use them to save time and money.
(SearchEnterpriseAI.com)

 

Machine learning models add structure to unstructured data

With access to robust compute power and advances in machine learning, it's becoming easier and less costly for businesses to turn unstructured data into usable information.
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Oracle Mobile Cloud helps place privacy engine on cloud

For Virtual Artifacts, the decision to go with Oracle's cloud was tipped by Oracle Mobile Cloud and its related bot platform capabilities -- and the self-driving Autonomous Database.
(SearchOracle.com)

EXPERT ADVICE
 

Ask the Expert: What is an enterprise data strategy?

Defining a data strategy can help focus an organization's data management initiatives -- but it isn't the same thing as data governance. Expert Anne Marie Smith explains why.
(SearchDataManagement.com)

 

The slow evolution of master data management software

Master data management kicked off with a bang in 2004, then hit a few roadblocks before IT embraced data governance. Consultant Andy Hayler looks at MDM's journey thus far.
(SearchDataManagement.com)

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