In this episode of our AI monetization Podcast, our Co-founder and host, Binny Mathews, is joined by Tomeka Hill-Thomas, a seasoned professional with over 25 years of experience in people analytics. As the Senior Principal of Workforce Strategy and Analytics at Mercer, Tomeka brings a wealth of knowledge and a background in mathematics and economics to the table. Together, they delve into the intersection of AI and employee productivity in enterprise settings, advocating for a holistic approach to understanding employee productivity. Tomeka's close collaboration with HR operations and finance teams underscores the interconnectedness of organizational performance.
Tomeka emphasizes the practicality of standardized metrics and data integration across different departments. She goes on to illustrate how statistical methods like regression analysis and machine learning are actively employed to derive actionable insights into various aspects of employee performance and organizational impact. The conversation also delves into the role of AI in enhancing productivity, highlighting its potential to augment human capabilities rather than replace jobs. The importance of data integrity and compliance is also underscored. This episode offers a strategic approach to leveraging data analytics and AI to optimize workforce performance while navigating ethical and practical challenges in modern HR practices, fostering organizational success.
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TIMESTAMP
00:00 Introduction
01:50 Optimizing Performance through HR Analytics
03:10 Building Holistic Employee Profiles with Data Lakes
07:15 Enhancing HR Strategies with Predictive Analytics
09:55 Retention and Managerial Feedback in HR Metrics
11:15 Preparing Teams for Generative AI Integration
26:10 Bridging Gaps in Employee Training