How AI is Changing Data Quality
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.
Description
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 Emanuele Meazzo, Business Intelligence & Data Science Manager at Acer EMEA, 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.
Presenter Bio
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.
Emanuele runs a business intelligence and data science team at Acer. He has worked extensively with the Microsoft data ecosystem, including Power BI, SQL Server, Azure, and Fabric. He is an expert in enterprise data platforms, from architecture design through to reporting and performance tuning.