As online sample fraud becomes more pervasive, maintaining data integrity has never been more critical. In this session, we’ll delve into new approaches that leverage AI plus human intelligence to enhance data quality. In addition, we will explore how AI can identify and filter out suspicious respondents in real time, before they can impact data quality, giving project teams the upper hand on the efficiencies AI can have. Lastly, we will uncover the benefits and pitfalls of AI for fraud protection and how we approach using it in tandem with human intelligence.
Key Takeaways:
• Gain insights into the rise of sampling fraud and its implications for data integrity.
• Understand how to better detect bot activity.
• Learn how to combine AI with human data quality controls.
• See how fraud detection tools improve data quality and accuracy.
Join us to explore this innovative, data-driven solution and the future of quality control in market research.