Melanie Botha

As AI moves from experimentation to enterprise impact, success depends on workforce readiness, not just technology. Market leaders have upskilled over 50% of their employees and are redesigning workflows around AI, while 60% of organizations still struggle to generate value from their investments. In this session, Robin Sutara and Melanie Botha explore how to build an AI-enabled workforce by aligning culture, people, process and enablement with your data strategy. You'll learn how to assess your data and AI maturity, close critical skills gaps at scale through structured learning programs, and integrate AI agents into teams in ways that elevate human talent. Drawing on customer proof points and the Databricks data and AI maturity framework, this session provides a practical roadmap for treating upskilling as a core investment—so every project becomes a data and AI project and every employee contributes to AI-driven outcomes.

Many studies have indicated that having a strong Data & AI culture helps our businesses be more successful. This can lead to better business performance, becoming more profitable and being more competitive compared to your peer companies as well as attaining and retaining top talent. What does it mean to have a Data & AI culture? It’s the ability for an organization to make data-driven decisions. It means using insights to improve your business results and using data ultimately allows you to enable AI. It tends to be the people that get in the way of having and sustaining an effective Data & AI culture. Do you have people already in your teams that can help you build your Data & AI culture? Can you attract and retain that talent to your organization? Can you help integrate that great talent into your organization to promote a Data & AI culture? It’s also ensuring that you fundamentally change the way you/your teams/organizations work.