Joel Hans

Most data is in motion and needs to be protected at the source. Here’s how Apache NiFi might help.

“Insight platforms” come in three types: visual, predictive, and streaming.

Autonomous cars, personal assistants, and robots that give yoga lessons. For better or worse, the world of AI has arrived.

To solve real-world problems with AI, a deep learning system would need to be trained on a trillion parameters in 20 minutes. That may happen soon.

A data lake needs to be fed and governed properly before analytics can discover kernels of insight.

Companies will turn to faster databases, predictive analytics, and machine learning.

Many analytics companies have built their entire platform on top of AWS — here’s why:

Will IBM’s freemium model for cognitive computing work?

Opportunities abound to sell customer data related to transactions and product usage, but companies must be sure that data is anonymous.

A cloud-based API from Microsoft Cognitive Services is designed to offer a better recommendation engine.

To learn to drive like a human, driverless cars will require massive amounts of data, programming, and computing power.

Why erasure coding replaces RAID for big data storage.