Name: The Hidden Costs of Poor Data Quality in AI
Start: 2025-11-12T14:00:00-05:00
End: 2025-11-12T15:00:00-05:00

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.

**Key Takeaways:**

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

Panelists ti be announced soon

**[Register Here](https://hubs.ly/Q031JLF20)**

Amelia Mink

The Data Scientist

datasciconnect

Technology

Artificial Intelligence

Data Science

Data Mining

Data Analytics

Data Visualization

R Project for Statistical Computing

Hadoop

Machine Learning

Predictive Analytics

Big Data

Sales

Stephen Peckiconis

Stephen Redihan

Paula Cohen

Bill Olik

kousik nandury

John Baker

Julie Yoo

The Hidden Costs of Poor Data Quality in AI

Online event

Share

The Data Scientist

The Hidden Costs of Poor Data Quality in AI

The Data Scientist

Details

Members are also interested in