Data quality is the foundation of successful AI, yet errors, biases, and inconsistencies often go unnoticed until they disrupt critical projects. This webinar will explore how poor-quality data undermines AI accuracy, scalability, and ROI, with experts sharing practical guidance on identifying hidden issues, building strong data governance practices, and ensuring AI initiatives deliver meaningful results. You’ll gain a clear understanding of how data quality risks impact decision-making, learn strategies for driving consistency and reliability across your data, and uncover ways to improve ROI by enhancing model performance and scalability.

Video credit: Data Science Connect, November 12, 2025