CLEARWATER, Fla.--(BUSINESS WIRE)--For many IT solution providers, entering next-generation technology markets like cloud, security, IoT, analytics and mobility can be challenging and costly. To ...

When asked about their main challenges in adopting AI over the next two years, C-suite leaders cited data issues as their top ...

MECHANICSBURG, Pa.--(BUSINESS WIRE)--Summit Technology Group (STG) announces a series of data, AI, and cloud investments designed to help support their growing engineering and software businesses. STG ...

The AI wave has come on faster than most (including me) expected. Over the last decade, companies have slowly but surely started deploying AI. Return on Investment (ROI) was beginning to turn positive ...

In 2019, UnitedHealthcare’s health-services arm, Optum, rolled out a machine learning algorithm to 50 healthcare organizations. With the aid of the software, doctors and nurses were able to monitor ...

Test data management (TDM) is a crucial practice for ensuring compliant data and providing uniformity to test data. In the same way testing environments and data models are continuously evolving, test ...

Sparse data can impact the effectiveness of machine learning models. As students and experts alike experiment with diverse datasets, sparse data poses a challenge. The Leeds Master’s in Business ...

Consumers have growing concerns about data privacy, a new KPMG survey found. Businesses have been collecting more and more data over the past year. There is an opportunity to rebuild consumer trust, ...

In today’s interconnected digital landscape, information sharing is a fundamental aspect of business operations. However, the exchange of data comes with inherent cybersecurity risks, making it vital ...

Meta is making headlines again for its opaque data practices. This time the social media giant is under fire for how it has handled personalized advertising – unlawfully forcing users to accept ...

Given concerns about the reproducibility of scientific findings, neuroimaging must define best practices for data analysis, results reporting, and algorithm and data sharing to promote transparency, ...