Upcoming Webinars
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…
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/ 11:00 AM – 12:30 PM Pacific PRICE: Free to all attendees About the Webinar Data can accumulate and become unusable or outdated without proper maintenance.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…
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…
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Latest Blogs by Industry Experts

Read more about author Chandrashekar Surbhat. As organizations navigate the complexities of the digital landscape, adopting artificial intelligence (AI) is no longer a luxury but a necessity. AI is set to transform industries, offering unprecedented opportunities for better efficiency, decision-making, and customer engagement. However, many companies still face significant challenges in bridging the AI gap – the space where potential meets practical implementation. A holistic AI adoption approach that emphasizes…

Read more about author Nahla Davies. Data-driven decision-making is essential in all organizations, but using low-quality data can potentially be more harmful than using no data at all. Unreliable or outdated data can have huge negative consequences for even the best-laid plans, especially if you’re not aware there were issues with the data in the first place. That’s why data observability is so important: It’s a proactive approach to ensuring…

Read more about author Eamonn O’Neill. The idea of managing data at tremendous scale is hardly new. Most businesses embraced the concept of “big data” and associated technologies (like data lakes) at least a decade ago. However, the adoption of modern AI technology has introduced major new challenges to the big data world – so many, in fact, that it feels like we’ve entered a “second wave” of large-scale data…

Data Sips is a new video miniseries presented by Ippon Technologies and DATAVERSITY that showcases quick conversations with industry experts from last month’s Data Governance & Information Quality (DGIQ) Conference in Washington, D.C. The final episode of the Data Sips series features Shannon Kempe, DATAVERSITY’s chief digital officer, chatting with host Steve MacLauchlan, head of data at Ippon. Steve also hosts a longer version of the series called The Data Pour, where…
Recent Articles

spainter_vfx / Shutterstock Data lakehouses encompass the best of data lakes and data warehouses, making it possible to handle all types of data or analysis. Its architecture allows for versatile data storage…

Organizations increasingly recognize that an effective data governance strategy determines their ability to innovate and compete. Yet according to DATAVERSITY®’s 2024 Trends in Data Management report, 65% of organizations still rate their…

tadamichi / Shutterstock Data is often called the raw material of the information age, and it does share characteristics with the resources that power other industries. For example, imagine trying…

The latest installment in our Q&A series with female leaders in data features Jacqueline Paneque, Head of Data Literacy and Data Quality at TE Connectivity. (Read our previous Q&A here.) Jacqueline Paneque…
What is...?

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…

Data Governance (DG) is a business program and bedrock that supports harmonized data activities across the…