I'm a user more than I am a developer, but for us it's the ability to ingest and then retrieve information from a range of separate sources; the ability to dissect questions in context and actually answer them. 

Then separately, the ability for us to then take the output from WEX, I believe - this is me talking to the developers here - taking the outputs from WEX and then processing that to create the visualizations and the analysis that we need.

On the selfish side, possibly advancing my career. 

But, really, I would say the big thing is being able to utilize some data streams that we haven't tapped into, or maybe not successfully, and being able to produce something that's tremendously useful, not just for one part of the company, but actually company-wide.

Valuable features are the aggregation mode, that's one of the tool sets. And then, training the models, it can also be utilized for that.

I have found the auto-generated document very useful as well as the main keywords that are highlighted, which are used for the search functionality within IBM Watson Explorer.

Today, integration of voice commands is the focus of development.

The ability to easily pull together lots of different pieces of information and drill down in a smarter way than has been possible with other analytics tools. Watson is all based on a set of AI and deep learning, machine-learning capabilities, and it is looking behind the scenes at some relationships that you likely would not have spotted on your own. It's pulling things together, categorizing some things, that are not something that you might have seen on your own.

Ease of use is pretty good and the standardization of not actually having to have my own natural learning algorithms, just to use the Watson APIs.

The valuable feature of Watson Explorer for us is data entities, and being able to see hidden insights from within unstructured data.