We recently participated in the Knowledge Graph Conference (KGC) in New York, which included educational workshops, guides to getting started, and expert thought leadership in knowledge management and graphs.
Read Full StoryA 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 s...
Read MoreCreates the first relational knowledge graph system; adds Bob Muglia to its board
Read MoreIt was a busy year for RelationalAI, so as we head into the new year let’s take a moment to look back at some of the exciting things that came out of 2021.
Read MoreWe recently participated in the Knowledge Graph Conference (KGC) in New York, which included educational workshops, guides to getting started, and expert thought leadership in knowledge management and...
Read MoreWhat modern graph platforms have learned from SQL and relational databases.
Read MoreRead how the RelationalAI team was able to work with a big 4 tax agency to capture complicated application logic with 50 times less code. Find out how they accelerated calculations up to 10 times fast...
Read MoreMolham shares some history of relational databases, trends in modern cloud-native database systems, and the innovations pioneered at RelationalAI to bring deep learning with relations from idea to rea...
Read MoreThis incredible panel of experts gathered to discuss the current state of AI and machine learning workloads inside databases. The panel discussed new techniques, technologies, and recent papers that p...
Read MoreThis talk explores several techniques to improve the runtime performance of machine learning by taking advantage of the underlying structure of relational data. While most data scientists use relation...
Read MoreSemantic Optimization makes your complex data workloads more efficient, which in turn improves overall system performance and scalability.
Read MoreDovetail Join is a WCOJ (Worst Case Optimal Join) algorithm, meaning we can mathematically prove that the more complicated the problem is, the faster we will go.
Read MoreThis demo is called the “Knowledge Graph to Learn Knowledge Graphs”, or KGLKG. It parallels the authors own journey from programming in imperative languages like Java, C++, and Python to RAI's declara...
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