DATE: March 19, 2025 TIME: 8:00 AM – 12:45 PM Pacific / 11:00 AM – 3:45 PM Eastern PRICE: Free to all attendees Welcome to DATAVERSITY Demo Day, an online exhibit hall. We’ve had many requests from our data-driven community for a vendor-driven online event that gives you an opportunity to learn more about the […]
Mar 20 RWDG Webinar: Integrating AI into Your Data Governance Framework
DATE: March 20, 2025 TIME: 2:00 PM – 3:00 PM Eastern / 11:00 AM – 12:00 PM Pacific PRICE: Free to all attendees About the Webinar AI is no longer just a buzzword – it’s transforming the way organizations govern their data. This webinar will walk you through the process of seamlessly integrating AI into an existing […]
Mar 25 Webinar: Optimize Your BI Environment: 10 High-Impact Strategies
DATE: March 25, 2025 TIME: 2:00 PM – 3:00 PM Eastern / 11:00 AM – 12:00 PM Pacific PRICE: Free to all attendees This webinar is sponsored by: About the Webinar Poor governance of reports, data, and ETL leads to significant hidden costs in most organizations. Companies are spending excessive amounts on database and BI usage, while […]
Mar 27 DAS Webinar: Building the Right Architecture for Analytics & Reporting
DATE: March 27, 2025 TIME: 2:00 PM – 3:00 PM Eastern / 11:00 AM – 12:00 PM Pacific PRICE: Free to all attendees This webinar is sponsored by: About the Webinar With the rapid changes in technology available to support AI, analytics, and reporting, it can be confusing where to start in creating a modern data architecture. This […]
Apr 1 Webinar: Navigating AI Governance: Building Robust Policies for the Future
DATE: April 1, 2025 TIME: 2:00 PM – 3:00 PM Eastern / 11:00 AM – 12:00 PM Pacific PRICE: Free to all attendees About the Webinar In today’s rapidly evolving technological landscape, the integration of artificial intelligence (AI) systems presents significant challenges, particularly in terms of governance, compliance, and ethical considerations. Join us for an insightful webinar […]
Apr 8 Data-Ed Webinar: Reference Data vs. Master Data Management
DATE: April 8, 2025 TIME: 2:00 PM – 3:30 PM Eastern / 11:00 AM – 12:30 PM Pacific PRICE: Free to all attendees About the Webinar Data can accumulate and become unusable or outdated without proper maintenance. Reference and master data management (MDM) is a popular approach to effectively manage not only the data but also […]
Apr 10 AArch Webinar: The Rise of Automated MDM – How AI and Machine Learning Are Revolutionizing Master Data Management
DATE: April 10, 2025 TIME: 2:00 PM – 3:00 PM Eastern / 11:00 AM – 12:00 PM Pacific PRICE: Free to all attendees This webinar is sponsored by: and About the Webinar Master data management (MDM) is undergoing a radical transformation through AI and machine learning technologies. This webinar will showcase how intelligent algorithms are automating data […]
Apr 16 DATAVERSITY Demo Day – Data Catalog
DATE: April 16, 2025 TIME: 8:00 AM – 12:45 PM Pacific / 11:00 AM – 3:45 PM Eastern PRICE: Free to all attendees Welcome to DATAVERSITY Demo Day, an online exhibit hall. We’ve had many requests from our data-driven community for a vendor-driven online event that gives you an opportunity to learn more about the […]
Apr 17 RWDG Webinar: How and Why to Conduct a Data Asset Inventory
DATE: April 17, 2025 TIME: 2:00 PM – 3:00 PM Eastern / 11:00 AM – 12:00 PM Pacific PRICE: Free to all attendees About the Webinar A comprehensive data asset inventory is the foundation of any successful data governance initiative. In this webinar, you’ll learn why conducting a thorough inventory is essential for improving data management and […]
Apr 24 DAS Webinar: Data Architect vs. Data Engineer vs. Data Scientist – Making Sense of Roles in Today’s Data-Centric Organization
DATE: April 24, 2025 TIME: 2:00 PM – 3:00 PM Eastern / 11:00 AM – 12:00 PM Pacific PRICE: Free to all attendees About the Webinar The increasing focus on data in organizations has increased demand for critical roles such as data architect, data engineer, data scientist, and more. But there is often confusion and ambiguity around what […]