Advertisement

Upcoming Webinars

Jun 15 RWDG Webinar: Gaining Leadership Support for Data Governance

DATE: June 15, 2023 TIME: 2 PM Eastern / 11 AM Pacific PRICE: Free to all attendees This webinar is sponsored by: About the Webinar A commonly used best practice associated with standing up Data Governance programs is that “senior leadership support, sponsor, and understand Data Governance” and the activities and…

Jun 21 DATAVERSITY Demo Day - Metadata Tools

DATE: June 21, 2023 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…

Latest Blogs by Industry Experts

Mitigate Real Risks: Create Ethical, Responsible AI

Read more about author Bali (Balakrishna) D.R. AI is everywhere, and it is growing. In a 2022 edition of an annual global AI survey, a leading consulting firm found that adoption among enterprises had more than doubled in five years, with about 50% of respondents using it in at least one business unit or function. Thirty-two percent of enterprises reported cost savings from AI, while 63% had seen their revenues increase.…

3 Ways to Up-Level First-Party Data Enrichment Efforts

Read more about author Brian Wool. Today’s consumers expect the companies they buy from to know their needs and preferences. However, as the advertising and privacy landscape evolves, marketers are facing impediments that limit their understanding of their customers beyond their brand walls. Marketers know that their first-party data has never been more important. But they also know it’s not enough on its own. To succeed in the modern marketing landscape,…

What Is a Feature Store in Machine Learning?

Read more about author Gilad David Maayan. A feature store is a centralized platform for managing and serving the features used in machine learning (ML) models. A feature is an individual measurable property or characteristic of data that is used as input to an ML model. In order to build effective ML models, it is critical to have high-quality, well-engineered features that are both relevant and informative for the task…

4 Data Privacy Best Practices

Read more about author Ashok Sharma. Data privacy is at the heart of every prominent security threat – what are the top best practices for keeping data private? Some of the major cyber security challenges in 2023 are ransomware, hacking of cloud service vendors, and wiper malware. During ransomware attacks, bad actors obtain or encrypt sensitive information. The victims are urged to pay a ransom to regain access to locked files and…

Recent Articles

Understanding Data Mesh Principles

ThoughtWorks consultant Zhamak Dehghani defines data mesh as a “decentralized sociotechnical approach to sharing, accessing, and managing analytical data in complex and large-scale environments – within or across organizations.” This…

A Brief History of Data Modeling

Data Modeling is the “act” of creating a data model (physical, logical, conceptual, etc.) and includes defining and determining an organization’s data needs and goals. The act of Data Modeling defines…

Overcoming Eight Data Literacy Barriers

Leaders want “everyone, everywhere, and all at once to become highly data-literate, demonstrate a high capability to read, work with, and analyze data,” says Dr. Wendy Lynch, founder of Analytic-Translastor.com and Lynch…

What is...?

What Is a Data Catalog?

A data catalog centralizes access to all of an organization’s available data assets through…

What Is Data Management?

Data Management is a comprehensive collection of practices, concepts, and processes dedicated to leveraging…

What Is Data Modeling?

Data models document Data Architecture, aligning core business rules with data definitions. In addition,…

What Is Data Strategy?

Data Strategy describes a “set of choices and decisions that together, chart a high-level…

What Is Data Governance?

Data Governance (DG) is a collection of components – data, roles, processes, communications, metrics,…