Even as more companies rely increasingly on data analytics to make decisions and drive growth, there are still firms weighing whether it makes sense for them to take the deep dive. They may currently ...

Thanks to generative AI, we’re getting close to the promise of truly “democratizing” data. This means anyone can make decisions that are data-driven, not just highly skilled data scientists. Here ‘s ...

At Data Summit Connect Fall 2020, John O'Brien, CEO and principal advisor at Radiant Advisors, outlined the components of a modern data architecture. As a conceptual architecture, said O'Brien, it is ...

The Crown Commercial Service (CCS) has launched a big data and analytics framework worth up to £2bn over the course of the agreement. Some 50 suppliers, 46% of which are small and medium-sized ...

Raw data only becomes useful for fine-tuning a drug manufacturing process through effective, appropriate analysis, says the team behind a new “information-centric” analytics framework. The FoReSight ...

Descriptive Analytics serves as the foundation of data analysis, focusing on understanding historical data and answering the question, “What happened?” By leveraging tools such as dashboards, reports, ...

The central question that sports scientists are grappling with these days is this: What the heck are we going to do with all this data? In endurance sports, we’ve progressed from heart rate monitors ...

GovTech Division of Deep Knowledge Analytics in collaboration with the AI and Data Science Division of Deep Knowledge Group unveils GovTech Industry Framework LONDON ...

Business Intelligence vs Data Analytics vs Artificial Intelligence: What Are the Differences? Your email has been sent Defining the differences often poses a challenge to many people. This guide will ...