Video course · 15 chapters · 58 min · certificate
Part 31 - AI in Compensation & Benefits
AI in compensation and benefits: compensation basics and rewards, compliance, subjectivity and data silos, market competitiveness, AI decision-making, predictive pay equity, automation, personalised benefits administration and optimisation, predictive modelling, chatbots, sentiment analysis, challenges, future applications, case studies and a payroll demo.
What you'll learn
- Explain compensation and benefits fundamentals
- Identify traditional challenges like silos and subjectivity
- Use AI for pay equity and benchmarking
- Personalise and optimise benefits
- Apply predictive modelling and sentiment analysis
- Plan AI adoption in payroll
Chapters
15 chapters · 58:01-
4:13
01Basics Members
Introduction and compensation basics
A new module.
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5:14
02Rewards Members
Rewards and compliance
Why rewards matter.
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2:29
03Challenges Members
Subjectivity in management
Traditional problems.
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4:02
04Challenges Members
Data silos and compliance challenges
Fragmented data.
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2:00
05Benchmarking Members
Market competitiveness
Market data.
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3:21
06AI Members
AI decision-making
Data-driven pay.
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4:06
07Equity Members
Predictive pay equity and automation
Fair pay.
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3:44
08Benefits Members
Benefits administration
Personalised packages.
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3:09
09Optimisation Members
Benefits optimisation and enrolment
Usage patterns.
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4:23
10Prediction Members
Predictive modelling and chatbots
Planning and assistants.
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2:36
11Sentiment Members
Sentiment analysis
Employee satisfaction.
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6:27
12Challenges Members
AI implementation challenges
Privacy and resources.
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4:01
13Future Members
Future AI applications
What's next.
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3:18
14Cases Members
AI case studies
Real organisations.
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4:58
15Demo Members
Payroll demo and best practices
BambooHR payroll.
Jobs this course suits
Our AI checked this course against 500 jobs; these get the most out of it. Each job links to its learning path.