In an era where data drives decision-making, the need for robust, accurate, and efficient data pipelines and BI projects is paramount. Yet, organizations face persistent challenges—time-intensive manual testing, data discrepancies that undermine trust, and the ever-growing complexity of modern data architectures. These pain points are further magnified as organizations strive to embrace agility and scalability in a fast-paced, data-driven market.
Join us for an insightful webinar on "Automate the Testing of Your Data Pipelines and BI Projects with Generative AI" to discover how Gen AI (Agentic AI) is revolutionizing ETL and BI testing automation. We’ll explore how industry trends, such as increased adoption of real-time analytics, hybrid data environments, and AI-driven insights, demand more intelligent and automated approaches to data quality assurance.
Key Take-Aways:
- Industry trends and pain points for maintaining accurate and high quality ETL pipelines
- Why need for Gen AI - powered Datagaps Dataops Suite for Testing Automation
- Real-world case studies
Whether you're a data professional, architect, or IT leader, this session will provide actionable insights into leveraging Gen AI to overcome current challenges, future-proof your data strategies, and accelerate innovation with reliable, high-quality data.
Learn more about Datagaps Inc. here.
Speakers
Narendar, the Founder of Datagaps Inc., is a passionate innovator with over 25 years of expertise in data warehousing and business intelligence. His extensive experience spans all project phases and he has held various technical and leadership roles. At Datagaps, Narendar leverages his knowledge to deliver an industry-leading DataOps suite for end-to-end data quality monitoring and test automation of data pipelines and analytics.