Collecting electronically stored information is a common practice for eDiscovery practitioners in today’s digital world. One of the things that makes this task more difficult over time is the ...

Innovative technologies of the Fourth Industrial Revolution (4IR) are transforming and modernizing the way data is generated, collected, and analyzed across different industries and fields of study. 1 ...

Data is the backbone of digital retail enterprises, but not all data is created equally. “Source,” or “original,” data is the gold standard. It’s raw, unprocessed data that has not yet been analyzed ...

One of the biggest challenges in making AI projects a success is dealing with the requirements for data needed by machine learning systems. Machine learning systems work by generalizing learnings from ...

New findings show how the sources of data are concentrating power in the hands of the most powerful tech companies. AI is all about data. Reams and reams of data are needed to train algorithms to do ...

Interview on Ontada research presented at ISPOR 2024. Increased variety of real-world data (RWD) sources can give scientists a richer picture than ever of what’s happening to patients. But for every ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More This article is part of a VB special issue. Read the full series here: ...

In the smart city world, the often-overlooked trash truck and its humble sanitation worker are emerging as prime sources of data collection, application and insight. Data-driven enhancements can range ...