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 earlier at the very dawn of computing. When Charles Babbage first described his difference engine, a member of Parliament asked him whether the machine could generate […]
Webinar: Why Lineage Still Fails — and What Modern Metadata Platforms Must Do About It
Download the slides here >> This webinar is sponsored by: About the Webinar Data lineage is one of the most in-demand capabilities for enterprise data teams — but most solutions fall short when it comes to real-world complexity. Join this session to explore why so many lineage initiatives fail to scale, and how MetaKarta is redefining the […]
Informatica Demo: Enterprise Master Data to AI Superpower: The Informatica Advantage
Download the slides here >> Master data management isn’t optional anymore—AI demands flawless data quality. Explore how Informatica’s cloud-native multidomain MDM platform transforms trusted data into your competitive advantage. Our Intelligent Data Management Cloud unifies integration, quality, governance and mastering in one comprehensive SaaS solution that scales with your business. The CLAIRE AI engine automates […]
Reltio Demo: From Data to Business Impact: Modernizing MDM to Deliver Engaging, Real-time Customer Experiences at Scale
Download the slides here >> Modern businesses and agentic AI run on real-time data—but legacy MDM systems can’t keep up. When your architecture can’t scale effectively and data models are too rigid, it limits your ability to deliver engaging, personalized experiences at scale to customers. That’s because legacy MDM was architected for data at rest, […]
Tamr Demo: Tamr AI-Native MDM Overview & Demo
Download the slides here >> Join Tamr experts for an overview and live demo of our AI-native Master Data Management (MDM) platform! We’ll cover Tamr’s value proposition, how it unifies and masters data from any number of sources, and why our AI-native approach delivers more accurate results, is more scalable, and is more cost-effective than […]
Protecting Machine Learning Systems in the GenAI Era
As GenAI and machine learning (ML) become more widespread across industries, their high levels of adoption have created a major challenge: security. While every organization and IT team has its own security protocols and frameworks, many are starting to realize that traditional approaches aren’t enough when it comes to protecting themselves from the potential threats […]
Fundamentals of Data Access Management
Across all industries, and in businesses of all sizes, one thing holds true: The more you know about your customers, the greater your organization’s chances for success. This makes data your company’s most valuable non-human asset. As the revenue potential of data increases, the job of protecting that data becomes more important and more challenging. […]
Data Governance: Building a Strong Foundation
The first time I was introduced to data governance, someone handed me a thick binder labeled “Data Policies.” It sat on my desk untouched for months. No one referred to it. No one followed it. It was a perfect symbol of what goes wrong when governance is reduced to paperwork without purpose. True data governance […]
RWDG Webinar: Using Glossaries, Dictionaries, and Catalogs to Drive Data Quality Across the Enterprise
Download the slides here >> About the Webinar Data glossaries, dictionaries, and catalogs are powerful tools for driving data quality and governance across your organization. In this webinar, you’ll learn how to leverage these tools to standardize data definitions, improve quality, and create a common language for data management. Bob Seiner will explore the practical […]
A Brief History of Data Stewardship
In the modern digital economy, data is a critical asset that, when properly managed, can drive innovation, insights, and competitive advantage. However, for organizations to leverage data effectively, they must maintain trust in its quality, reliability, and governance/management. Central to this effort is the concept of data stewardship. While it may appear to be a relatively […]