A Fortune 50 retailer drove $1 billion in incremental revenues over the last three years after deploying AI models developed by RelationalAl.
Read MoreDemonstrating the details of weaving metadata into a knowledge graph to automate checking and maintenance of complex policy requirements.
Read MoreShowing how knowledge graphs support the construction of scalable models that mix discoverable with explicitly asserted metadata to afford reasoning and policy enforcement. In this first article, we show how explicitly asserted metadata in a knowledge graph enables automated reasoning.
Read MoreBusiness applications are traditionally complicated to understand and maintain because business logic tends to be scattered in separate tiers of growing code bases, while schema becomes rigid and brittle. The end result is that business logic dissolves in a soup of disparate application code.
Read MoreMany recognize the potential of artificial intelligence (AI) in healthcare and life sciences. Some early adopters are starting to reap the benefits already, especially in fields such as radiology and digital pathology.
Read MoreThe RAI relational KGMS combines Graph, Reasoning, and Learning in a single platform. Add cloud scalability, workload concurrency, and zero-copy cloning to get unique analytic flexibility.
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