In most conversations, data and AI are inextricably linked. The narrative tends to be that organizations are not using AI well if they don’t have quality data from the field feeding into AI models.

Automated Identification of Radiotherapy Courses From US Department of Veterans Affairs Administrative Data We analyzed demographic, behavioral, clinical, and neighborhood-level data for 2,130 ...

Doug Bonderud is an award-winning writer capable of bridging the gap between complex and conversational across technology, innovation and the human condition. Data isn’t slowing down. To deal with ...

Modern CX depends less on where data lives and more on how signals, AI, and governance come together at decision time. For much of the past decade, customer data platforms (CDPs) were positioned as ...

Among its many consequences, fragmented and disorganized data in the homecare industry can make care coordinators feel like they’re piecing together a puzzle with a few missing or incorrectly labeled ...

Integrating AI into chip workflows is pushing companies to overhaul their data management strategies, shifting from passive storage to active, structured, and machine-readable systems. As training and ...

A new survey-based report commissioned by financial firm Capital One explores data management in the cloud, concluding that new models are needed in the face of exponential data growth. Organizational ...

Pure Storage has unveiled its latest storage products, including a new Enterprise Data Cloud platform designed to make it easier for firms to manage their data across their entire stack. Revealed ...