Process intelligence has emerged as central to the successful implementation of artificial intelligence. But before any transformation occurs, a deep, company-wide understanding of underlying ...

Celonis SE believes that supply chain problems are process intelligence problems, and it has built solutions around helping businesses address the challenges when pipeline issues occur. “We really tap ...

Process control and simulation lie at the heart of modern industrial operations, enabling continuous monitoring, dynamic adjustment, and predictive optimisation of complex process systems.

ORLANDO, Fla.--(BUSINESS WIRE)--Gartner Supply Chain Symposium/Xpo -- QAD Inc., a leading provider of next-generation manufacturing and supply chain solutions in the cloud, announced it is offering a ...

According to the Process Excellence Network, 2025 will see a laser focus on operational excellence as a pillar of survival and competitiveness. Optimized process flows -- the right people, following ...

BARCELONA, Spain--(BUSINESS WIRE)--Gartner Supply Chain Symposium/Xpo – QAD Inc., a leading provider of next-generation manufacturing and supply chain solutions in the cloud, announced it will present ...

The Process Intelligence Graph, according to Celonis, provides enterprises with control and governance of their core enterprise data. This means less uncertainty when feeding AI models with data.

I am a big believer in process mining. My devotion to the approach is partly based on a strong belief in the value of a process orientation; I don’t think organizations can improve their operations ...

Process sensor technology—the mainstay instrumentation that monitors temperature, pressure and flow levels—has remained fairly steady over the years against a backdrop of accelerating digital ...

Federal agencies face growing pressure to modernize outdated IT systems to meet evolving mission demands, improve service delivery and strengthen cybersecurity. But modernization must go beyond ...

Fuzzy control charts represent a significant evolution in Statistical Process Control (SPC) by addressing intrinsic uncertainties in measurement and human evaluation that classical approaches often ...