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Published By: Skillsoft     Published Date: Jun 23, 2016
In the latest developments in technology for HCM, Nucleus sees an inexorable march to upend conventional approaches to on-the-job learning. Training scheduled around static variables such as regulatory policy or company initiatives, for instance, is one-dimensional. This type of learning will persist. The emergence of prescriptive analytics made possible by real-time data models, however, makes trigger-based, in-the-moment learning possible (Nucleus Research p199 – The coming mass extinction in HCM, November 2015). Further supporting this are social media–style user interfaces (UIs), which promote continual collaboration. It’s learning that happens whenever an employee needs it, not when the organization or law decrees it. Data across HCM prompts these triggers.
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best practices, business optimization, business management, organization, talent management, technology
    
Skillsoft
Published By: SumTotal, a Skillsoft Company     Published Date: Jun 24, 2016
In the latest developments in technology for HCM, Nucleus sees an inexorable march to upend conventional approaches to on-the-job learning. Training scheduled around static variables such as regulatory policy or company initiatives, for instance, is one-dimensional. This type of learning will persist. The emergence of prescriptive analytics made possible by real-time data models, however, makes trigger-based, in-the-moment learning possible (Nucleus Research p199 – The coming mass extinction in HCM, November 2015). Further supporting this are social media–style user interfaces (UIs), which promote continual collaboration. It’s learning that happens whenever an employee needs it, not when the organization or law decrees it. Data across HCM prompts these triggers.
Tags : 
best practices, business optimization, business management, organization, talent management, technology
    
SumTotal, a Skillsoft Company
Published By: IBM     Published Date: Nov 12, 2015
Hear from the University of Michigan Health System’s CMIO, Dr. Andrew Rosenberg, to learn how this institution is achieving their goal for internal/external operability in support of their enterprise analytics roadmap to support its clinical, research, education and administrative missions. Learn more about the specific challenge's that were solved, how they integrated systems of record with medical devices, and hear about their plans for future integration.
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ibm, big data, enterprise analytics, emr, research interfaces, it management
    
IBM
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