In this presentation, we explore the landscape of AI-driven data quality enhancements.  From cleansing to predictive maintenance, we dive into 20 key areas where AI can make significant impact.

For each of the 20 ways we will examine the following;

• How LLMs might help - from writing code to perform quality checks and profiling and more.
• Vendor Solutions - what are common and uncommon AI features that vendors provide to assist in data quality.
• Manual Effort - How can the people in your organization collaborate with AI.

Join us for this presentation to gain insight into the world of how AI can assist with data quality, ensuring your data is accurate, reliable, and primed for intelligent decision-making.

Speaker: Mark Horseman

Data Evangelist, DATAVERSITY

Mark is an IT professional with nearly 20 years of experience and acts as the "Data Evangelist" for DATAVERSITY. Mark moved into Data Quality, Master Data Management, and Data Governance early in his career and has been working extensively in data management since 2005. Previous to his work at DATAVERSITY, Mark led Information Management initiatives in both private and public sector organizations.