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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.

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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
  1. 4:13 01Basics Members Introduction and compensation basics A new module.
  2. 5:14 02Rewards Members Rewards and compliance Why rewards matter.
  3. 2:29 03Challenges Members Subjectivity in management Traditional problems.
  4. 4:02 04Challenges Members Data silos and compliance challenges Fragmented data.
  5. 2:00 05Benchmarking Members Market competitiveness Market data.
  6. 3:21 06AI Members AI decision-making Data-driven pay.
  7. 4:06 07Equity Members Predictive pay equity and automation Fair pay.
  8. 3:44 08Benefits Members Benefits administration Personalised packages.
  9. 3:09 09Optimisation Members Benefits optimisation and enrolment Usage patterns.
  10. 4:23 10Prediction Members Predictive modelling and chatbots Planning and assistants.
  11. 2:36 11Sentiment Members Sentiment analysis Employee satisfaction.
  12. 6:27 12Challenges Members AI implementation challenges Privacy and resources.
  13. 4:01 13Future Members Future AI applications What's next.
  14. 3:18 14Cases Members AI case studies Real organisations.
  15. 4:58 15Demo Members Payroll demo and best practices BambooHR payroll.