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Data Automation: IT Teams Adopt Productivity Tool to Stay Abreast of Growing Data Volumes

By Dick Weisinger

Data Automation is the upload, transformation, storage, processing, and analysis of data using automated procedures rather than manual ones. Data is becoming increasingly important for organizations, but as the volume of data has increased, many IT groups are overwhelmed with

Data-Centric AI: Shifting the Focus from Big Data to Good Data

By Dick Weisinger

Quality of data may be the number one requirement for data analytics and AI project success, but not far behind in the list of requirements is the volume of the data that is analyzed or used for AI training. Curernt

AI + Big Data: Speeding Scientific Discovery

By Dick Weisinger

Scientists now are able to collect massive amounts of data for use in studying phenomona anywhere from the microscopic to the reaches of our galaxy. But quickly and efficiently processing huge amounts of data is still beyond the reach of

Long-Term Data Storage: Molecular Dyes that can Archive Data

By Dick Weisinger

Today it’s easy and cheap to store mega and gigabytes of photographs and documents to cloud storage repositories run by tech giants like Apple, Google, and Amazon. But where will your data be 10, 20, or 30 years out from

Content Sprawl: Unchecked Data Growth Leads to Security and Productivity Issues

By Dick Weisinger

Content sprawl is the rapid growth of electronic files and data that aren’t centrally managed and spread across various applications, devices, and cloud services. Often there are multiple copies and versions of the same information. Many applications and systems software