DiscoverWorkplace Stories by RedThread ResearchLeveraging Generative AI to Efficiently Utilize Skills Data: McKinsey & Company’s Yelena Mammadova, Ed.D
Leveraging Generative AI to Efficiently Utilize Skills Data: McKinsey & Company’s Yelena Mammadova, Ed.D

Leveraging Generative AI to Efficiently Utilize Skills Data: McKinsey & Company’s Yelena Mammadova, Ed.D

Update: 2023-11-22
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According to Yelena Mammadova, Ed.D—the Associate Director of Learning, Skills Transformation Initiative at McKinsey—McKinsey seeks to bring impact to clients and create an organization where they attract, excite, and retain exceptional people. The primary goal of her department is to accelerate talent development. Yelena strives to connect human development and technology in her role. She is one our first guests who’s talked about generative AI and how it’s embedded into their skills effort. They’re using AI to connect and map skills information.

Secondly, they’re integrating skills with their people analytics teams. They’re starting small and experimenting. Most organizations build skills models around the job architecture currently in place. McKinsey is taking a different approach. They’re developing assessments for skills so they know how to organize the people around the work they have.

Learn more about their unique approach and their utilization of generative AI to father and efficiently utilize skills data in this conversation.

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Leveraging Generative AI to Efficiently Utilize Skills Data: McKinsey & Company’s Yelena Mammadova, Ed.D

Leveraging Generative AI to Efficiently Utilize Skills Data: McKinsey & Company’s Yelena Mammadova, Ed.D

Stacia Garr & Dani Johnson