Skip to main content

Fill in the details to unlock webinar

By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.

Speakers

For Business

Training 2 or more people?

Get your team access to the full DataCamp library, with centralized reporting, assignments, projects and more
Try DataCamp For BusinessFor a bespoke solution book a demo.

How Leaders Build AI Skills at Scale

October 2025
Webinar Preview

Session Resources

Summary

How Leaders Build AI Skills at Scale is a session designed for professionals interested in enhancing AI capabilities within their organizations. The discussion explores the practicalities of implementing AI training programs across diverse industries. It highlights the importance of identifying specific skill needs based on roles, promoting engagement, and measuring the return on investment. Leaders from Bristol Myers Squibb, Bayer, and Wiseline share their experiences in scaling AI skills, emphasizing the need for customized learning paths and executive sponsorship. They discuss the challenges of keeping employees engaged amidst other work commitments and the significance of aligning AI training with business goals. The session also touches on the use of AI to automate processes and improve productivity, showcasing real-world applications and success stories.

Key Takeaways:

  • AI training should be customized to specific roles and business needs.
  • Executive sponsorship is essential for successful AI skill scaling.
  • Engagement can be enhanced through mentorship and real-world applications.
  • Measuring ROI involves both quantitative and qualitative assessments.
  • AI can be a transformative tool across various business functions.

Insights

Customizing AI Training to Roles

Understanding who needs what skills is fundamental to effective AI training. Amber Marcu from Bristol Myers Squibb emphasizes the use of personas to identify training needs across different functions. By conducting needs assessments and l ...
Read More

everaging self-assessments, organizations can personalize learning paths. This approach ensures that scientists, business professionals, and IT staff receive relevant training, enhancing their ability to apply AI in their specific roles. The use of tools like DataCamp's skill assessments allows for continuous refinement of training programs, ensuring they remain aligned with evolving business needs.

Importance of Executive Sponsorship

Executive sponsorship plays a key role in the success of AI training programs. Amber Marcu highlights the impact of having support from top-level executives, including the CEO and CTO, at Bristol Myers Squibb. This backing not only provides the necessary resources but also encourages a culture of learning and innovation. Leaders actively participating in training and sharing their experiences can inspire employees to engage with AI learning. The visibility of executive involvement highlights the strategic importance of AI skills development within the organization.

Engagement and Real-World Application

Keeping employees engaged in AI training amidst other commitments is a challenge. Colleen Young from Bayer discusses the effectiveness of mentorship and capstone projects in maintaining engagement. By integrating real-world applications and providing support through mentors, learners can transition from theory to practice. This approach not only enhances skill retention but also demonstrates the tangible benefits of AI training. The use of capstone projects allows employees to apply their learning to actual business challenges, reinforcing the relevance of their new skills.

Measuring Return on Investment

Calculating the ROI of AI training involves a mix of quantitative and qualitative measures. Colleen Young mentions the use of post-course surveys to assess productivity gains and career advancement. These surveys provide insights into the practical impact of training on employees' work. Amber Marcu adds that tracking utilization and engagement metrics helps demonstrate the ongoing value of training programs. While hard numbers are important, understanding the broader impact on employee capabilities and business outcomes is vital for justifying the investment in AI skills development.

Related

webinar

AI Literacy at Scale: Building a Future-Ready Workforce

Industry experts explore strategies for scaling AI literacy across diverse teams, bridging the gap between technical expertise and business understanding.

webinar

Running Data & AI Literacy Training at Scale

Industry experts share what it takes to run successful training programs across large, complex organizations.

webinar

The Executive Guide to Data & AI Literacy

Experts share how to design and implement a literacy strategy that works. Hear practical lessons on training at scale, increasing data and AI maturity, and identifying the highest-impact use cases.

webinar

AI Upskilling: Lessons from the Frontlines

Experts discuss their experiences running AI upskilling programs at scale. You’ll learn how to define training personas, boost adoption and engagement, and measure the ROI of your efforts.

webinar

Scaling Data & AI Literacy with a Persona-Driven Framework

In this session, three experts walk you through the steps of creating a successful data training program.

webinar

Scaling Data & AI Literacy with a Persona-Driven Framework

In this session, three experts walk you through the steps of creating a successful data training program.