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Upcoming Webinars

May 26 DAS Webinar: Improving Data Literacy Around Data Architecture

DATE: May 26, 2022 TIME: 2 PM Eastern / 11 AM Pacific PRICE: Free to all attendees About the Webinar Data Literacy is an increasing concern, as organizations look to become more data-driven. As the rise of the citizen data scientist and self-service data analytics becomes increasingly common, the need for business users…

Jun 7 Webinar: Rethinking Trust in Data

DATE: June 7, 2022 TIME: 2 PM Eastern / 11 AM Pacific PRICE: Free to all attendees This webinar is sponsored by: About the Webinar The explosive growth of data and the value it creates calls on data professionals to level up their programs to build, demonstrate, and maintain trust.…

Latest Blogs by Industry Experts

Governors of Data: A Song About Data Governance

Read more about author Tiankai Feng. Editor’s Note: Data professional Tiankai Feng writes and performs songs about everything from lockdown to virtual meetings to analytics. We here at DATAVERSITY can’t stop humming "Governors of Data," his catchy and clever ode to Data Governance – and we think you’ll enjoy it too. I started my role in Data Governance in January and realized quickly that Data Governance needed some “rebranding.” It is still…

11 Enterprise AI Trends to Know

Read more about author Jonathon Wright. AI adoption continues to expand across the globe, with Gartner predicting that organizations over the next five years will “adopt cutting-edge techniques for smarter, reliable, responsible and environmentally sustainable artificial intelligence applications.” And as the industry matures and machine learning (ML) models become cheaper, faster, and more accessible, every enterprise will be looking at how and where the technology may benefit their organization.  Expectations are high, from driving productivity…

What Can Artificial Intelligence Do for Me? (Part 2)

Read more about author Patrick Carpenter. In my previous blog post, I described some concrete techniques and surveyed some early approaches to artificial intelligence (AI) and found that they still offer attractive opportunities for improving the user experience. In this post, we’ll look at some more mathematical and algorithmic approaches to creating usable business intelligence from big piles of data.  Regression Analysis Regression analysis is a technique that predates machine learning but can often…

What Role Does the Mainframe Play in Today’s Data-Driven Landscape?

Read more about author Jeff Cherrington. The mainframe industry is at a pivotal moment in its history – the need for increased compliance requirements, the desire for tighter networks with customers, the growing cloud environment, cost pressures, the need for modern user experience, etc., all contribute to the growing need for mainframe modernization.  According to a recent report from Forrester, 67% of enterprise infrastructure technology decision-makers say that they use mainframes, over half…

Recent Articles

Fundamentals of Digital Twins

Digital twins can present a virtual replica of physical components, processes, or systems to enable improved understanding of the performance characteristics of such entities. With digital twins, industry operators can…

Digital Transformation Best Practices

The term “digital transformation” (DT) encompasses the holistic framework and the associated strategy designed for integrating technology, business processes, and employee effort to get the maximum value for business customers.…

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 is a collection of components – data, roles, processes, communications, metrics, and…

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