AI Learn-tini: From Gap to Great—Leveraging Skills Data for AI Transformation
🤔📉 What happens when everyone needs to fill the same skills gap simultaneously? How do you develop your workforce in an almost unfamiliar domain to your entire organization?
The sudden arrival of generative AI and tools like ChatGPT is a great example. Seemingly overnight, employees worldwide were given access to an entirely new, highly powerful workflow tool.
📊✅ We use this case to show how AI Literacy programs can be deployed at scale and made accountable by using skills data.
Here is what we will dive into in our session:
🖼️ The Skills Transformation Canvas: Provides validated steps to set up and review talent programs using skills data.
📊 Generative AI and ChatGPT Literacy: Learn how long employees can reach the desired literacy level.
📈 Skills Metrics: Metrics like learning velocity and domain maturity make the transformation measurable and aligned with business goals.
🔓 Unlock Multiple Talent Management Use Cases: As more skills data is collected, programs like role modelling, skills transfer, communities of practice, and project staffing become possible.
🗣 About our host:
Bernardo F. Nunes uses behavioral science, data analytics, and digital solutions to predict human behavior. He's a Data and AI Transformation Specialist at Workera.ai. He helps organizations set up skills transformations that are accountable and useful for supporting business objectives.