The Hidden Costs of Poor Data Quality in AI

Data quality is the backbone of effective AI implementation, yet errors, biases, and inconsistencies in datasets often go unnoticed until they derail key projects. Join this illuminating webinar to uncover how poor data quality affects AI accuracy, scalability, and ROI.

Our panel of experts will share actionable insights into recognizing hidden pitfalls, establishing robust data governance frameworks, and ensuring your AI initiatives yield impactful results. This session is essential for professionals aiming to maximize the value of their AI investments while navigating common data challenges.

YOU'LL LEARN

1️⃣ Understanding Data Quality Risks: Learn how errors and biases in data undermine AI model accuracy and decision-making.
2️⃣ Strategies for Robust Data Governance: Discover practical approaches to ensuring data consistency and reliability.
3️⃣Optimizing ROI from AI Initiatives: Explore methods to enhance AI performance and scalability by improving input data quality.
Panelists to be announced soon

Host or Publisher Data Science Connect