High-quality AI outcomes largely depend on how data is captured, ingested and contextualized, especially in AI that is purpose-built for your industry.

The logistics industry is known for its complex and data-intensive nature. Tracking the exact whereabouts of a product from the warehouse to a customer’s doorstep, for example, entails frequent data ...

Examples include pilots using SDC + FHIR bundles containing arbitrarily complex SDC and FHIR content, 43 tools to extract and display the transmitted data, bulk data transmissions to facilitate large ...

Frontline workers have been bearing the brunt of today’s worldwide supply chain issues, staffing shortages, and recession fears. To top it off, they’re also suffering from a data experience gap. Most ...