From Big Data to Better Decisions: Ensuring Data Quality Amid AI Disruption

From Big Data to Better Decisions: Ensuring Data Quality Amid AI Disruption

Conference Registration

Session Details

Date: Sunday, June 28

Time: 2:50 pm - 3:40 pm CT

1 CPE credits

Level: intermediate

Field of Study: Information Technology

Location: E345

Governments today operate in an environment where big data has become a strategic asset, shaping decisions, services, and long-term planning across the public sector. In a world increasingly influenced by artificial intelligence (AI)—where algorithms, automated systems, and data-driven tools can amplify both insights and risks—the need for strong data hygiene is more critical than ever.

Clean, accurate, well-governed data not only improves the quality of analytics and evidence-based policymaking but also serves as a safeguard against the negative effects of AI, such as unintended bias, misinformation, and flawed automated outputs. In this context, good data practices are more than operational necessities; they are essential protections that help governments navigate the opportunities and challenges of a rapidly evolving digital landscape.

This session will explore how governments can leverage big data effectively while building the healthy data ecosystems needed to support efficient and reliable governance.

Learning Objectives

  • Explain what "big data" is composed of and the role it plays in the public sector
  • Describe how big data can help local governments implement data-driven, non-biased decision-making processes
  • Review the impact of AI on data management, including both opportunities and challenges
  • Discuss data management practices that can mitigate the potential negative impacts of AI and maximize the benefits of using big data