The transformation of provider lifecycle management through AI and automation represents more than just technological ...

He said, “Technology plays a big role in accelerating data science teams, by providing collaboration, knowledge reuse, and sharing in the same way that it’s needed for software engineering teams.

The company launched their latest Prism 10x product – an analytics package that they say provides non-technical users with the ability to analyze 100x more data at ten times more speed than current in ...

Cloudian’s new PyTorch connector is built on Nvidia Corp.’s GPUDirect Storage technology and optimized for Nvidia Spectrum-X ...

AI servers require special purpose accelerators such as Graphics Processing Units (GPUs) or Application-Specific Integrated Circuits (ASICs) such as Google’s Tensor Processing Units (TPUs) or Huawei’s ...

Multimodal data processing startup Eventual Inc. is looking to transform the way companies deal with unstructured data after closing on $30 million in venture capital funding.. The startup said ...

These transformative technologies and all-important data can all be linked via “digital thread,” a communications architecture that runs through the manufacturing process. By capturing and ...

Automatic Data Processing is a member of our Computer and Technology group, which includes 608 different companies and currently sits at #5 in the Zacks Sector Rank.

Gai Sher and Ariela Benchlouch of Greenspoon Marder LLP discuss the privacy risks stemming from the use of AI and the need for ethical guidelines and best practices to minimize such risks.

According to IAB Technology Laboratory's DCR Guidance and Recommended Practices, a DCR is a "secure collaboration environment which allows two or more participants to leverage data assets for ...