Data science can make robotic process automation more intelligent. Robotic process automation make it easier to deploy data science models in production. Robotic process automation (RPA) companies are ...

The new data center that is evolving doesn't look like the centers we had come to know in years past. The racks of servers and storage disks may be greatly reduced, or absent altogether, displaced by ...

Effective pre-implementation planning is critical for successful adoption of intelligent process automation (IPA). The comprehensive IPA pre-implementation framework outlined in this document provides ...

German data process mining software firm Celonis GmbH made a key acquisition today, buying a rival in the market called Process Analytics Factory GmbH for an undisclosed fee. Celonis said the ...

Data science can provide a high return on investment across multiple industries and use cases. Whether predicting new target customers, measuring product demand or detecting high product failures - ...

Here’s what you need to know about robotic process automation, including major software vendors, how it might affect jobs, and how to start using RPA. One of the most noticeable effects of work in the ...

Most AI strategies won’t fail because of the models — they'll fail because the foundation beneath them isn’t ready.

Are you grappling with managing your test data in an automation framework? Here’s a fact: effective Test Data Management (TDM) can significantly improve your software testing process. This ...

There are many tools on the market for historizing process data. These tools typically treat each point of data individually when historizing, which works great for trend screens and instrumentation ...

How enterprises are eliminating operational overhead by transforming unstructured documents into intelligent workflows.