Upcoming Webinars
DATE: May 9, 2024 TIME: 2:00 PM – 3:00 PM Eastern / 11:00 AM – 12:00 PM Pacific PRICE: Free to all attendees About the Webinar Vector databases are a type of database that use graph embeddings to represent and compare data, making them ideal for fuzzy match problems. Graph embeddings are…
DATE: May 14, 2024 TIME: 2:00 PM - 3:30 PM Eastern / 11:00 AM - 12:30 PM Pacific PRICE: Free to all attendees About the Webinar Ninety percent, or more, of organizational data challenges, are people and process – not technology challenges! Strengthening our focus on non-technology aspects of Data…
DATE: May 15, 2024 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…
Featured Online Training
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Latest Blogs by Industry Experts
Read more about author Don Schuerman. The power of generative AI (GenAI) seems to have no limits. Every day, we see new barriers being broken and new use cases that no one thought possible. And yet, I can’t help but notice that most of these advances we’re hearing about revolve mostly around content creation. While remarkable in its own right, this begs the question: Are we truly harnessing the full transformative potential…
Read more about author Kevin Kirkwood. Personal data has emerged as a coveted asset, drawing attention not just from corporate establishments, but also from foreign actors. This interest has sparked a significant challenge – the legal sale of data to overseas entities, raising concerns about the implications for civilians and military personnel alike. The recent initiative by President Biden underscores the criticality of addressing these concerns promptly. The order highlights the urgent…
Read more about co-authors Mahtab Masood and Arjun Vishwanath. Most, if not all, organizations need help utilizing the data collected from various sources efficiently, thanks to the ever-evolving enterprise data management landscape. Often, the reasons include: 1. Data is collected and stored in siloed systems 2. Different verticals or departments own different types of data 3. Inconsistent data quality across the organization Implementing a central data management system, such as a…
Read more about author Mark Horseman. Hello! I’m Mark Horseman, and welcome to The Cool Kids Corner. This is my monthly check-in to share with you the people and ideas I encounter as a data evangelist with DATAVERSITY. Last month we discussed data privacy. This month we’re talking about data leadership. What do we mean by data leadership? What are our challenges with becoming data-driven and leading an organization through all that…
Recent Articles
Thanadon88 / Shutterstock Becoming a data product manager means taking responsibility for the development and management of data products. Broadly speaking, a data product is any software or algorithms that…
FAHMI98 / Shutterstock In today’s data-first business environment, the ability to convey complex information in an understandable and visually appealing manner is paramount. Different types of data visualization help transform analyzed data…
valiantsin suprunovich / Shutterstock Data discovery deals with extracting useful information from data and presenting it in a visual format that is easily understood. The types of useful information discovered…
Day Of Victory Studio / Shutterstock As businesses adopt generative AI, a technology that creates new content and finds patterns, what will Data Science, the processes and activity geared to getting…
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…