Faster Than Ted Lasso: Deep Real-Time Analysis Comes to European Football
The real-time data "provides a level of understanding commentators and fans could previously only speculate about, like the probability of making an attempted …
Backend Data Integration Challenges in the Age of Cloud
Cloud is increasingly supporting faster and more comprehensive methods of data integration, including automated data pipelines, real-time data streaming, and …
We’re Only at the Beginning of the Analytics Revolution
One factor that distinguishes a data-driven enterprise is a culture in which data, analytics, and cloud strategies are aligned with business
Study: The More Digital the Enterprise, the More Resilient
Artificial intelligence (AI) and automation—such as AI cameras and automated workflows—have become vital for physical
Digital Twins Now in Use at One in Five Factories, Survey Finds
While $1.1 trillion annually is being invested in digital factory initiatives worldwide, most companies, 64%, are still at an early stage of their digital …
Real-Time Data Streaming Delivers, and the Data Finally Shows It
Harnessing the full power of real-time data streams delivers great value, but is difficult for many organizations. The top hurdle is integrating multiple data …
Location, Location, Location Matters with Data, Too
Data location is increasingly important as it has consequences related to governance, application performance, and
Bringing AI to the Edge: Focus on the Plumbing First
The data pipelines and plumbing underneath efforts to support artificial intelligence and machine learning capabilities at the edge are
Here Comes the ‘Industrial Metaverse’
The foundation of the industrial metaverse is built on digital twin technology where factories and facilities are represented and open to innovation and …
Connecting to the Edge: The Challenge is in the Data
Edge is going through a revolution or evolution, enabled by more connectivity, even in really low-end devices, that makes much more data available.