The CDAO Government event is a premier gathering for leaders in data and analytics within the federal, state, and local government sectors. It is scheduled to take place on September 19-20, 2023, in Washington, D.C. This event has a longstanding history and is known as the longest-running event for government data and analytics leaders. The CDAO Government conference provides a platform for government officials, data executives, and analytics professionals to come together and discuss the latest trends, challenges, and best practices in the field of data and analytics. It aims to foster collaboration, knowledge sharing, and innovation in the government sector. Attendees of the event can expect a diverse range of sessions, including keynote presentations, panel discussions, workshops, and networking opportunities. Prominent speakers from the government, industry, and academia share their insights and experiences, offering valuable perspectives on leveraging data and analytics to drive better decision-making and improve government services. Topics covered at the CDAO Government event may include data governance and privacy, predictive analytics, artificial intelligence and machine learning, data-driven policymaking, data ethics, data security, data visualization, and more. The agenda is designed to address the unique challenges and opportunities faced by government organizations in harnessing the power of data and analytics. By attending the CDAO Government conference, participants have the opportunity to connect with peers, exchange ideas, learn from experts, and gain practical strategies to enhance their data and analytics initiatives. It serves as a platform for government leaders to stay updated on the latest trends and developments in the field and build a strong network of professionals working in similar domains. Overall, the CDAO Government event in Washington, D.C., offers a valuable learning and networking experience for federal, state, and local government data and analytics leaders, helping them navigate the complexities of the data-driven landscape and drive positive outcomes for their organizations and constituents.