Upcoming Webinars
DATE: June 19, 2025 TIME: 2:00 PM – 3:00 PM Eastern / 11:00 AM – 12:00 PM Pacific PRICE: Free to all attendees About the Webinar Data stewardship is evolving, and staying ahead of the curve is essential for any governance program. This webinar will explore the latest trends and innovations shaping…
DATE: June 26, 2025 TIME: 2:00 PM – 3:00 PM Eastern / 11:00 AM – 12:00 PM Pacific PRICE: Free to all attendees About the Webinar With technological innovation and change occurring at an ever-increasing rate, it’s hard to keep track of what’s hype and what can provide practical value for your organization.…
DATE: July 2, 2025 TIME: 2:00 PM – 3:00 PM Eastern / 11:00 AM – 12:00 PM Pacific PRICE: Free to all attendees This webinar is brought to you by: About the Webinar Join us for an inspiring webinar in the Women in Data Management and Governance series, where we will feature…
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Latest Blogs by Industry Experts

Read more about author Udaya Veeramreddygari. In our fast-paced, interconnected digital world, data is truly the heartbeat of how organizations make decisions. However, the rapid explosion of data in terms of volume, speed, and diversity has brought about significant challenges in keeping that data reliable and high-quality. Relying on traditional manual methods for data governance just doesn’t cut it anymore; in fact, it can even hinder progress in today's dynamic…

Read more about author Ken Ammon. In today’s hyper-competitive economy, data is a critical asset that drives innovation, strategic decision-making, and competitive advantage. However, for many mid-sized organizations, turning raw data into actionable business intelligence (BI) is challenging. The rapid pace of technological advancements, coupled with increasingly complex data environments, presents significant hurdles, particularly for those with limited resources to build and maintain their own data management and AI infrastructure.…

Read more about author Eric Herzog. The data that is stored in vector databases is key to the success of generative AI (GenAI) for enterprises in all industries. Up-to-date, private data in company data sources, including unstructured data and structured data, is what is required during AI inferencing to make GenAI models more accurate and relevant. To make the data systematically useful for GenAI after the initial training of an…

Read more about author Tristan Stevens. Enterprise technology leaders face mounting pressure to balance competing priorities. Cloud platforms offer unprecedented innovation, potential, and scale, but regulatory compliance requirements and data control mandates create friction when trying to consolidate everything in a public cloud. And shifting to a full SaaS environment just gives up too much control for these large companies, creating conflict between performance and compliance. This tension has created…
Recent Articles

After years of hype and promise, artificial intelligence (AI) has finally arrived. Organizations of all types and sizes are racing to integrate AI into their business processes to make their…

aniqpixel / Shutterstock Artificial intelligence (AI) is transforming businesses and industries worldwide with new data products and services. A recent Stanford University AI Index Report found that about 78% of companies were using AI…

metamorworks / Shutterstock Despite the increasing participation of women in data management (DM) roles, women still confront gender-related challenges throughout their careers. One significant challenge is the persistent gender bias…

The term “garbage in, garbage out,” or GIGO, dates back to the earliest days of commercial computing in the mid-20th century. Yet the concept was present more than 100 years…
What is...?

A large language model (LLM) is an advanced artificial intelligence system that understands, processes,…

A database management system (DBMS) describes a collection of multiple software services that work…

A data catalog inventories and makes critical datasets available through metadata management. This platform informs…

A Data Strategy is a reliable touchstone created by an organization for businesspeople to…

Data Management (DM) comprises a comprehensive collection of consistent and responsible practices, concepts, and…

Data Modeling describes the plans and activities around diagramming data requirements for business operations across…