As businesses transition to cloud-based applications in their modernization efforts, they encounter increasing complexities in maintaining data quality. The widespread adoption of AI technologies intensifies these challenges, as ensuring data accuracy, completeness, and consistency becomes crucial for reliable AI outputs and decision-making processes. This webinar will explore fundamental aspects of data quality in the context of analytics and AI, including:  

• Why data quality and observability matter for modern data-driven organizations.  
• Understanding and monitoring the state of data quality across your data environment using profiling and data observability tools.  
• Implementing data cleansing processes and observability frameworks to ensure accuracy, consistency, and timely data insights.  

Website: https://www.informatica.com/