NEW YORK - TelAve -- IGI Global Scientific Publishing, dedicated to Publishing Tomorrow's Research Today since 1988, will host a free webinar titled "Fixing AI's Data Quality Crisis: Challenges and Solutions":

Date: Wednesday, July 22, 2026; Time: 11:00 a.m. (ET): Register Here: www.igi-global.com/webinars.

As organizations accelerate their adoption of AI, a critical challenge has emerged: data quality. Inaccurate, fragmented, or unverified data undermines model performance, limits trust, and exposes enterprises to risk. This webinar addresses this data quality crisis by bringing together a panel of specialists to examine the root causes of AI data quality issues and the impact they have on enterprise AI initiatives. Through expert insights, real-world assessments, and practical, actionable solutions, our speakers will explore why high-quality, research-based, long-form content remains a foundational input for building accurate and trustworthy AI systems. Attendees will gain a deeper understanding of how well-structured, interdisciplinary content enables AI systems to reason more effectively and deliver defensible, high-value outputs.

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"Responsible AI begins with responsible data practices," said Nick Newcomer, Senior Vice President of Sales & Marketing at IGI Global Scientific Publishing. "As a publisher in academic research, we are prioritizing delivering trusted, human-created research that empowers AI systems to produce dependable and verifiable results. Through this webinar, we look forward to the panelists' insights and solutions on how to build accurate and trustworthy AI systems with peer-reviewed, vetted content."

Featured panelists include:

• Darrell Gunter, Consultant, Gunter Media Group, United States
• Vamsi Kasivajjala, CEO, NeuroDiscovery AI, United States
• Karen Medhat, Global Account Technical Leader, IBM, United Kingdom
• Anders Hammarbäck, Co-founder and CEO, RedpineAI, Sweden
• Shenson Joseph, Senior Big Data Engineer, JPMorgan Chase & Co., United States

This webinar is free and open to anyone interested in learning how to diagnose and address data quality challenges, and how to build a sustainable, competitive advantage through better data practices and smarter content strategies.

For more information, please visit http://www.igi-global.com/webinars or contact Savannah Pecknold, Communication Coordinator of Open Science Publishing at IGI Global Scientific Publishing, at specknold@igi-global.com.