The presentation discusses the challenges of career development in large organizations with disconnected systems. Michele Howard from DXC Technology shares their experience building a solution called Career Navigator on Neo4j's Graph Database and Graph Data Science, which aims to provide intelligent recommendations for employees based on their skills and career aspirations. The tool connects siloed data points and generates personalized development plans, enabling managers to support employees with skill gaps and helping them navigate the complex ecosystem of in-demand skills within the organization. By leveraging a knowledge graph and applying algorithms, Career Navigator provides insights and nudges employees towards new career pathways, ultimately benefiting both the employee and the business. The solution has been successfully implemented with 130,000 employees across the organization.