Collaboration is essential in AI development, as it fosters innovation and leverages diverse skill sets. Cross-disciplinary teams that include data scientists, engineers, and domain experts can enhance the project by incorporating different perspectives. Sharing knowledge and insights leads to better problem-solving and more robust solutions. Additionally, collaborative platforms like GitHub facilitate version control and code sharing, allowing teams to work efficiently and transparently, ultimately driving project success.