Healthcare and finance apps operate in two of the most demanding digital environments today. Both industries deal with ...

A simple rule of thumb: In general, AI is best reserved for well-defined, repetitive tasks. This includes anything that ...

British Journal of Sociology of Education, Vol. 38, No. 6 (September 2017), pp. 827-840 (14 pages) This article critically considers the promise of computer adaptive testing (CAT) and digital data to ...

Opinions expressed by Digital Journal contributors are their own. The need for big data testing in analytics is growing. Data continues to increase exponentially, and organizations are vying to take ...

Managing, moving, transforming and governing data for business applications and data analytics purposes has always been an important part of IT operations. But those chores have taken on a new level ...

Big data analytics tools have become indispensable, as they offer the insights necessary for organizations to make informed decisions, understand market trends and drive innovation. These platforms ...

That creates major challenges for businesses and organizations trying to make valuable use of their data assets. They need advanced tools to identify and inventory the data they have and where it ...

Test automation and DevOps play a major role in today's quality assurance landscape. As we know, software development is evolving at a rapid pace. This requires finding robust ways to invest in ...

Are you grappling with managing your test data in an automation framework? Here’s a fact: effective Test Data Management (TDM) can significantly improve your software testing process. This ...

This article is the second in a series from PDF Solutions on why adopting big data platforms will transform the compound semiconductor industry. The first part “Accelerating silicon carbide (SiC) ...