As data and analytics leaders, you’re tasked with navigating the fast-evolving world of AI while ensuring your teams are equipped to thrive in this new era. Building organizational AI literacy is no longer optional — it’s essential for staying competitive and unlocking innovation (such as Johnson & Johnson’s Vision team did when they built working GenAI and LLM prototypes with Dataiku in less than two days at a hackathon). But how do you ensure your workforce develops the skills and knowledge to harness AI effectively?
This infographic breaks down the eight critical steps for driving AI literacy success, from gaining executive sponsorship to fostering continuous learning. Whether you’re just starting or looking to refine your strategy, these insights will help you align teams, close knowledge gaps, and lead with impact.
Building AI literacy is a transformative journey that equips your teams to drive value and innovation in the age of AI. These steps provide a proven framework to help you inspire collaboration, set clear goals, and embed learning into your organization’s culture. But this is just the beginning: Leaders who prioritize accessibility, inclusivity, and tailored learning will create the strongest foundations for success.