Maintain regulatory compliance by conducting regular audits, adhering to standards like ISO 27001, SOC 2, and GDPR, and ...

As AI technologies continue to advance, the demand for relevant and accurate data has intensified, pushing organizations to capture, integrate, and harness data from many different sources. However, ...

Security and governance are the biggest obstacles businesses face when trying to integrate data from various sources, according to recent research from Nexla and Ascend2. The report was based on data ...

In an ideal world, data exists within a single, comprehensive framework that empowers data agility, speed, trust, and ease of access. Standing in the way of this technological haven are legacy ...

AI is reshaping brand engagement, but its effectiveness relies on high-quality, curated data, a significant challenge for ...

Renewable energy technology portfolios are becoming increasingly complex with multiple asset types like solar, wind and battery storage. SCADA systems can break down data silos, enable real-time grid ...

Tighter integration of automatic test equipment (ATE) into semiconductor manufacturing, so that data from one process can be seamlessly leveraged by another, holds significant promise to boost ...

Wandisco (WAND) (($GB:CRTA)) has held its Q2 earnings call. Read on for the main highlights of the call. Cirata’s recent earnings call paints a ...

The Defense Logistics Agency has published a white paper by David Bella pushing for machine learning to modernize logistics ...

Data integration is a statistical modeling approach that incorporates multiple data sources within a unified analytical framework. Macrosystems ecology – the study of ecological phenomena at broad ...

Dentsu’s aggressive Merger & Acquisition strategy (2021–2024) faced integration challenges and heightened cost pressures, it ...