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Upcoming Webinars

Jun 5 DGPO Presents: Data Governance - Making it Real

DATE: June 5, 2019 TIME: 2 PM Eastern / 11 AM Pacific PRICE: Free to all attendees This Webinar Series is Developed by: About the Webinar Many organizations attempt a data governance program, unfortunately failing along the way one or many times. Learn how American Family initiated the program, overcame…

Jun 11 DataEd Webinar: Data Governance Strategies

DATE: June 11, 2019 TIME: 2 PM Eastern / 11 AM Pacific PRICE: Free to all attendees This webinar is sponsored by: About the Webinar Much like project management and home improvements, Data Governance sounds a lot simpler than it actually is. In a nutshell, Data Governance can be explained…

Latest Blogs by Industry Experts

How Organizations Can Utilize Data Lakes, Marts, Vaults, and Warehouses

Click to learn more about author Neil Barton. As businesses begin the movement to be more data-driven, it can be difficult to assess an organization’s exact data infrastructure need. With terms such as data lakes, data vaults, and data warehouses, IT business leaders may be asking themselves: “What exactly does our organization need to extract the most value?” Each of the concepts boils down to managing your data in an…

Data Models That Build Themselves

Click to learn more about author Mike Brody. Self-service Business Intelligence (BI) is about bridging the knowledge gap that has historically separated business professionals from their data. It’s about doing away with intimate knowledge of information systems as a prerequisite for finding out last quarter’s growth margin. And when it comes to replacing SQL statements with friendly drag-and-drop graphical elements, the majority of BI solutions are doing an outstanding job of…

Why Your Enterprise Data Strategy Should Be a Hybrid

Click to learn more about author Neil McGovern. Many enterprises are still finessing their data strategies, and more often than not organizations are found comparing data warehouses and data lakes as standalone solutions. To that I say, why not do both? According to PwC’s recent data optimization survey, the top data challenges in the enterprise include poor data reliability, inability to adequately protect and secure data, data siloing or lack…

Case Studies

What is...?

What is Cognitive Computing?

Cognitive Computing, a subfield of Artificial Intelligence, simulates human thought processes in machines using…

What is Data Science?

Data Science is a combination of scientific disciplines “to build predictive models that explore…

What is Machine Learning?

Machine Learning (ML) “…explores the construction and study of learning algorithms.” Furthermore, Machine Learning:…

Most Recent Articles

A Brief History of Natural Language Processing (NLP)

In the early 1900s, a Swiss linguistics professor named Ferdinand de Saussure died, and in the process, almost deprived the world of the concept of “Language as a Science.” From 1906 to 1911, Professor Saussure offered three courses at the University of Geneva, where he developed an approach describing languages as “systems.” Within the language, a sound represents a concept – a concept that shifts meaning as the context changes.…

Data Governance vs. Master Data Management

“Data Governance is the creation of rules, the execution of those rules, and the adjudication of any violation of the rules,” remarked Frank Cerwin in a recent DATAVERSITY® interview. He likened its structure to the three branches of the government: “The legislative branch makes the laws, the executive branch executes the laws, and the judicial branch adjudicates violations of the laws.” Cerwin is the President and Managing Principal with Data…

Case Study: Centrica Succeeds with Data Discovery at Scale

“When you’ve got a mass of data, how do you analyze that data and get to a point where you can get the gemstones, the diamonds out of it?” Mike Young, Chief Information Officer with Centrica, knows what it’s like to wade through a sea of petabytes and terabytes to find value. Centrica is an energy utility and services company, providing gas, oil, and renewables to businesses and consumer markets…

Prescriptive Analytics Use Cases

The term “prescriptive analytics” denotes the use of many different disciplines such as AI, mathematics, analytics, or simulations to advise the user whether to act, and what course of action to take. In that sense, prescriptive analytics offers an advisory function regarding the future, rather than simply “predicting” what is about to happen. This newer branch of business analytics informs and guides decision logic through the skillful use of analytics.…

Embracing Data Silos: Semantic Search and Analytics Innovation

Walk around any large organization and hear people groan about finding the right data to do their work. In the typical organization, data sits in multiple places, lost behind technical and functional boundaries. These isolated systems, referred to as “data silos,” have often existed for good purposes and reasons such as helping each business function do their job well and meet legal requirements. However, without a cohesive and unified data…

Artificial Intelligence, Machine Learning, and Data Protection

Artificial Intelligence and Machine Learning techniques are altering the way organizations gather, process, and protect data. They are being used to gather massive amounts of information about internet users in the form of Big Data, and to secure and protect it. The challenge is how to maximize the use of Big Data, while simultaneously safeguarding the information and protecting the privacy of individuals. Europe’s General Data Protection Regulation (GDPR), which…

Latest Industry News

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