Why Data Matters for AI Poor data quality and fragmented identity undermine predictive performance. TransUnion’s identity graph and enrichment capabilities provide the single source of truth AI ...

Ad tech platforms likely know more about your executives than your security team does... and that information is available to ...

Opinion: Recent agreements involving AI learning through a licensed “large music model,” as well as new EU regulations, provide guidance for how artists and music publishers can protect and enforce ...

Health tech company Elation Health has embedded Anthropic's Claude into its electronic health record to power its ...

Discover what context graphs are, why they're revolutionizing AI systems, and who's building this trillion-dollar technology ...

AI readiness is the mantra for youth in the present digital decade. AI has redefined every walk of day-to-day life. AI has ...

The final, formatted version of the article will be published soon. Background Biomedical knowledge graphs (KGs), such as the Data Distillery Knowledge Graph (DDKG), capture known relationships among ...

Interactive Brokers is becoming a scalable financial infrastructure platform—trading, custody, lending and compliant crypto.

Abstract: Graph topology inference is a significant task in many application domains. Existing approaches are mostly limited to learning a single graph assuming that the observed data is homogeneous.

Abstract: This paper presents LYRICEL, a framework integrating Knowledge Graph (KG) representation learning, Large Language Models (LLMs), and machine learning for reliable, explainable, and ...

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