Video course · 15 chapters · 57 min · certificate
Part 7 - Role of AI in Performance Management
AI's role in performance management: defining performance and goal alignment, why AI is needed, core capabilities and tools, data-driven projections, real-time assessments, engagement and predictive analytics, objective analysis and e-HRM feedback, strengths, challenges like lost human touch and decontextualisation, AI as a partner and ethics.
What you'll learn
- Define performance management and goal alignment
- Explain why AI is needed
- Use data-driven projections and real-time assessment
- Apply predictive analytics to performance
- Recognise challenges like decontextualisation
- Treat AI as an ethical partner
Chapters
15 chapters · 56:30-
2:45
01Intro Members
Introduction and defining performance
Module 3.
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3:10
02Goals Members
Goals, alignment and AI
Tracking progress.
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4:15
03Need Members
Why AI is needed
Core capabilities.
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4:15
04Tools Members
AI tools, analytics and apps
Synchronising AI and PM.
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2:57
05Role Members
Main role of AI
Pulling it together.
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2:53
06Projections Members
Data-driven projections
Comprehensive data.
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2:25
07Real-time Members
Real-time assessments
Continuous reviews.
-
4:07
08Prediction Members
Engagement, training and predictive analytics
Surveys and forecasts.
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4:18
09Tools Members
AI-powered tools and data collection
Accuracy and objectivity.
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4:55
10Feedback Members
Objective analysis and e-HRM feedback
Facts aid managers.
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4:13
11Strengths Members
Strengths of AI usage
Less admin.
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4:13
12Challenges Members
Challenges of AI
Lack of human touch.
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3:58
13Risk Members
Decontextualisation risk
Missing context.
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4:26
14Future Members
Future landscape: AI as a partner
Partnership.
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3:40
15Ethics Members
Ethical considerations and conclusion
Effective and ethical.
Jobs this course suits
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