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Workspan Daily Plus+
05/27/2026
., individual subscriptions to premium artificial intelligence tools, professional certifications outside current job duties, annual industry membership fees, public speaking workshops, writing courses).;
; Consider your current needs while understanding that reimbursable item categories do not need to remain fixed.
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Journal Article
11/14/2024
We need to actively engage with systems developers, vendors and providers to ensure that emerging technologies align with our vision and needs for the future of rewards.
Author(s):
Workspan Magazine
08/20/2021
As such, the time seems right to explore the contents of the typical human resources information system (HRIS), perspective on the current state of HR information systems and the aspects of IT that HR and rewards practitioners should consider.
Author(s):
Workspan Magazine
05/13/2021
How We Became So Top Heavy How did we end up with many organizations being structured as hierarchical top-down companies in the first place?
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Workspan Magazine
10/01/2025
Reviewing vendors during economic turbulence is also an important step, because employers have a fiduciary duty to ensure reasonable plan expenses and that the plan is operated in the best interest of participants.
Author(s):
Workspan Daily Plus+
05/12/2026
She said businesses should understand where their payroll data is going and how it is being used to train AI models by regularly auditing their systems, implementing clear data processing agreements and ensuring their vendors have robust safeguards in place.
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Workspan Daily Plus+
12/22/2025
The job-posting and hiring process can pose a heavy lift for HR/TR teams, with hundreds or more applications often rolling in for a single position, Escalera acknowledged.
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Workspan Daily
06/15/2026
HR professionals and organizational leaders also should be asking, “What are these employees holding together, and why does it require a person rather than a system?”
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Workspan Daily
10/25/2024
Organizations should have clear governance systems, procedures, human oversight and evaluation processes for AI systems for use in the workplace. ;
;Ensuring transparency in AI use.
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