Tag: PeopleSoft Asset Lifecycle Management

PeopleSoft RECONNECT Dive Deep brings the PeopleSoft customer community together with PeopleSoft experts, industry innovators, technology leaders and Oracle product teams for insights, education and information. Hear the latest updates on PeopleTools, HCM and ERP and get ready to dive deep into hot topics like Analytics, Configuration, Digital Assistants, Guided Learning, Lifecycle Management, User Experience…

PeopleSoft RECONNECT Dive Deep brings the PeopleSoft customer community together with PeopleSoft experts, industry innovators, technology leaders and Oracle product teams for insights, education and information. Hear the latest updates on PeopleTools, HCM and ERP and get ready to dive deep into hot topics like Analytics, Configuration, Digital Assistants, Guided Learning, Lifecycle Management, User Experience…

PeopleSoft RECONNECT Dive Deep brings together IT leaders and business users with PeopleSoft experts, industry innovators, technology leaders and Oracle product teams for insights, education and information. Hear the latest updates on PeopleTools, HCM and ERP and get ready to dive deep into hot topics like Analytics, Configuration, Digital Assistants, Guided Learning, Lifecycle Management, User…

RECONNECT 22 is where PeopleSoft users of all levels and from around the world can dig into new releases, dive deep into practical learning, get new ideas from best practices, see what others are doing with their PeopleSoft systems and hone their core PeopleSoft skills. View sessions

Starting with PeopleSoft Update Image 33, you can integrate PeopleSoft Asset Management and Maintenance Management with the Oracle Internet of Things Asset Monitoring Cloud service. PeopleSoft and the Oracle IoT Asset Monitoring Cloud service enable you to gain real-time visibility to your asset's location, health, and utilization. You can track assets anytime, anywhere. Additionally, you can predict asset behavior based on a combination of sensor and contextual data. Predictions use machine learning to identify potential issues before they become problems.