Data strategy is what determines AI readiness and outcomes. Here's how to build the foundation that makes AI actually work in ...

In an early test of how AI can be used to decipher large amounts of health data, researchers at UC San Francisco and Wayne State University found that generative AI tools could perform orders of ...

Abstract: The rapidly expanding demand for intelligent wireless applications and the Internet of Things (IoT) requires advanced system designs to handle multimodal data effectively while ensuring user ...

AI is reshaping distributor CRM — but only when backed by the right platform strategy. In this episode of the MDM Amplify ...

CEOs at big data technology companies sound off on what they see as the opportunities for channel partners in 2026.

A Ring Super Bowl ad and possible kidnapping case have sparked privacy concerns about home surveillance systems.

A survey of 127 warehouse leaders across key industries reveal the true state of integration in automated warehouses.

With IRT, we are holding our curriculum to the same psychometric standards used by major testing institutions, such as ...

Abstract: Data quality is the measure to which data satisfy the demands of its use in accuracy, completeness, consistency, timelines, and reliability. Data quality problems such as missing values, ...

The field of bioinformatics has seen significant advancements in recent years, particularly in the application of artificial intelligence (AI) for the analysis and interpretation of large-scale data ...

Q4 2025 earnings call highlights: record ACV/royalties, Cycuity acquisition, 2026 guidance and path to profitability—read now ...

Data gaps usually aren’t “missing data” as much as late, inconsistent, or hard-to-use data that slows decisions across operations, quality, and supply chain. Recent research shows many organizations ...