A research group has developed a new learning method for artificial intelligence that combines classification performance for data with multiple labels with the ability to learn continually from ...

Chandrashekar Pandugula is a Senior Data Engineer with over nine years of experience, specializing in Cloud Computing, ...

The growth of AI and machine learning (ML) will present opportunities to automate tasks like cleaning large datasets, data pipeline management, provisioning, model training and basic analysis.

Explore the features, capabilities and benefits of some of the top data analytics tools to determine which is the best fit for your business.

Part 1 of CRN’s Big Data 100 takes a look at the vendors solution providers should know in the data analytics space including Qlik, Salesforce Tableau, SAS and ThoughtSpot.

A well-reasoned strategy is essential for big-data success. Big data efforts are likely to fail without a well-reasoned strategy. (Stock image) Are you bullish on big data? Then your agency better ...

From the factory floor to the driving experience itself, AI and big data are fuelling safer, more efficient, and more intelligent vehicles, as well as better manufacturing and maintenance processes.

In this article, I’ll explore the business opportunities opened up by IIoT and big data, as well as the challenges companies face when implementing them.