Enhancing Workforce Development through Real-Time Insights Presented by : Prof. V. KrishnaMohan Director General – READ Group of Institutions Integral Institute of Advanced Management Visakhapatnam [Your Name/Institution] AI in Performance Management and Continuous Feedback Systems
Introduction Traditional performance reviews are becoming obsolete. AI enables real-time, data-driven performance evaluation. Focus on growth, engagement, and fairness.
AI's Role in Performance Management Smart Goal Setting using historical data Real-time performance analytics Bias detection and mitigation 360-degree feedback integration
Continuous Feedback Systems Replaces annual reviews with ongoing input Real-time alerts for feedback moments Sentiment analysis using NLP AI-based coaching and learning suggestions
Key AI Tools Used Predictive Analytics Natural Language Processing (NLP) Machine Learning Algorithms Chatbots & Virtual Coaches
Benefits of AI Integration Benefit | Description ------ --------------------------- -------------------------------------- ---------- Data-Driven Decisions | Objective evaluation using performance metrics Employee Engagement | Transparent, timely feedback builds trust Personalized Learning | Custom training paths suggested by AI Efficiency & Scalability | Suitable for large and remote teams
Challenges & Ethical Considerations Data Privacy & Confidentiality Avoiding Algorithmic Bias Ensuring Transparency in AI Decisions Dependence on Quality of Input Data
Future Outlook Integration with H ybrid - work P latforms Emotional AI to A ssess E ngagement Enhanced personalization in feedback and learning
Conclusion AI enhances fairness, accuracy, & engagement Requires ethical deployment and high data integrity A tool to augment, not replace, human judgment
Questions & Discussion Contact Info : email: [email protected] Thank You