New framework and platform enhancements provide organizations with greater visibility into manual workflows as AI ...

The platform is designed as a modular, distributed platform that unifies data, control and automation in a single ...

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 ...

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 ...

With artificial intelligence (AI) advancing rapidly, there needs to be more clarity about what generative AI means for process automation. After all, process automation has been around for decades, ...

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 ...

Robot technology is often associated with dangerous, dirty or dull work. Robotic process automation (RPA) takes that concept into the digital world. As a software tool, RPA sets out to free human ...

AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...

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 ...

By Aatreyee Dasgupta July 23 (Reuters) - Honeywell Technologies raised its full-year 2026 profit forecast on Thursday, helped ...