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How AI is Changing Data Quality

Tuesday, December 3, 11 AM ET

Key Takeaways

Learn how AI can help tackle the toughest challenges in data quality.
Discover essential tools and processes for improving data quality.
Understand how to measure ROI and gain insights from real-world success stories.

Your Presenter(s)

Gorkem Sevinc

CEO and Founder at Qualytics

Gorkem runs the data quality platform company Qualytics. He has vast experience in building, scaling and leading teams, and architecting enterprise-level software and data infrastructures; with specific experience in artificial intelligence, machine learning, data analytics & visualization, large-Scale data operations and scalable architectures.

Previously he was Chief Architect and Co-Founder at financial services company Facet; CTO and Co-Founder at mobile health platform Scene Health; VP of Software Engineering for miDiagnostics; and Managing Director of the Johns Hopkins Medicine Technology Innovation Center.

Piyush Mehta

CEO and Founder at Data Dynamics

Piyush, a.k.a. "The Dean of Data", runs the self-service data management software, Zubin. He has three decades of experience as a serial entrepreneur in software and technology. Always focused on addressing customer challenges with automation, his current organization supports 30% of the Fortune 100 for their data management needs. This ‘customer first’ approach has allowed him to build strong and trusted industry relationships which provide him a strong pulse of the market.

Prior to Data Dynamics, Piyush was CEO at SANpulse Technologies and CEO at Integration International.

Why this matters

Data quality is the backbone of any successful data strategy, yet many businesses struggle with maintaining accuracy, consistency, and reliability in their data. With evolving technologies and increasing data volumes, the challenge of ensuring high-quality data can seem overwhelming. AI is emerging as a game-changer in this space, offering new ways to automate data quality processes, detect anomalies, and enhance the overall reliability of data. Without a clear understanding of the right tools, processes, and strategies, organizations risk falling behind in their data quality efforts.

In this session, Gorkem Sevinc, CEO and Founder at Qualytics, and Piyush Mehta, CEO at Data Dynamics, will explore how AI is transforming data quality management. You’ll learn about the biggest challenges businesses face with data quality, the key tools and technologies available, and which roles should prioritize these efforts. We will also cover how AI can be leveraged to improve data quality, share success stories from the field, and explain how to measure ROI for your data quality initiatives. This session is perfect for data leaders looking to take their data quality efforts to the next level.

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