Recap of our panel discussion on effective learning strategies to implement generative AI: Many thanks to Burce Gültekin from Friesland Campina, Felipe Chies from AWS, Larissa Hendriksen from LCG, and Ralf Zoetekouw from Datacation for sharing your best practices!
📣 To leverage new technologies, it’s important to center them around individuals and listen to their needs. Successful change requires the willingness to adapt rather than forcing it on others. Change is successful when we see people behave differently.
📣 Embracing failure as an important element of learning and development strategies is crucial. Create an environment in which failures are reflected on and proposing new ideas is encouraged.
📣 Long-term success lies in sharing knowledge and co-creation with stakeholders. Creating continuous interaction and collaboration between domain knowledge and technical expertise can unlock the full potential of generative AI.
📣 Motivation can be fostered through both bottom-up and top-down approaches. Seek out champions who are passionate about spreading the word and encourage others to join the movement. Leaders should act as role models and lead by example in taking ownership.
📣 To drive change, we must focus on value as our primary motivator. By keeping our sights set on desired outcomes, we become the catalysts for change.
📣 AI serves as a support system rather than providing definitive conclusions. The explainability of AI raises important ethical considerations. We must work collectively to enhance the explainability of AI, finding ways to ensure transparency and accountability.
Let’s continue to explore the potential of (generative) AI together!