This edition of Data Spotlight focuses on combining revenue breakdowns with holdings to assess trade exposure, using news ...

India's merchandise trade deficit narrowed in June due to a sharp fall in imports, even as the value of exports slipped to a ...

It is a "first-of-its kind integration" between the two companies for actual media buys, matching Disney's audience graph with the Trade Desk's Unified ID 2.0 identity graph. Toggle navigation ...

To strengthen Nigeria’s non-oil export base and formalise informal trade flows, the Nigerian Export Promotion Council (NEPC), ...

Graph data science is when you want to answer questions, not just with your data, but with the connections between your data points — that’s the 30-second explanation, according to Alicia Frame.

As data complexity continues to grow and the demand for real-time insights increases, the move away from traditional relational databases and towards the adoption of graph databases will become vital.

Dr. Alin Deutsch of UC San Diego explains in a Q&A why graph database algorithms will become the driving force behind the next generation of AI and machine learning apps.

As data complexity continues to grow and the demand for real-time insights increases, the move away from traditional relational databases and towards the adoption of graph databases will become vital.