IBM is looking to improve business process modeling in its WebSphere Business Integration Modeler tool by backing an emerging Web services standard and building its product around the Eclipse ...

Whether you’ve planned for it or not, your business is heading for digital transformation. As a way to remain competitive and respond to changes in consumer demand, companies need to explore how their ...

Business Process Management (BPM) is a systematic approach to making an organization's workflows more effective, efficient, and adaptable. The heart of effective BPM uses Business Process Modeling and ...

In our previous blog we posed a broad question, where do operators fit with current manufacturing technology trends? More specifically, we asked: What if we could map out each manufacturing process, ...

NEW YORK & MUNICH--(BUSINESS WIRE)--Celonis, the global leader in process mining, today announced the acquisition of Symbioworld GmbH, an innovative provider of AI-driven Business Process Management ...

There are best practices, standard operating procedures and several types of processes in the business world. Processes help maintain order and provide guidelines for a smooth workflow. They are what ...

erwin has announced the availability of erwin Evolve, a configurable set of enterprise architecture and business process modeling and analysis tools. The combined solution enables organizations to map ...

Unisys Corp. plans to enter the nascent business-process modeling market next month with a new service called Business Blueprints. The services will help developers in a variety of vertical industries ...

erwin Inc., a provider of data management software, has acquired business process analysis vendor Casewise Ltd. According to erwin, Casewise solutions enable enterprises to capture, document and ...

An action taken in the course of conducting business. Whether manual or automated, all processes require input and generate output. Depending on the level of viewing and modeling, a process can be a ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...