About a decade ago, Marko Rodriguez wrote a blog post on Loopy Lattices. It became infamous amongst graph database practitioners as it taught them a very important lesson: Never give in to the temptation to ask for all potential paths between two nodes.
Read Full StoryWe show how the relational model can be successfully exploited to model complex analytics scenarios while enjoying the same characteristics of clarity and flexibility as when modeling the data themsel...
Read MoreA 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 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 MoreAbout a decade ago, Marko Rodriguez wrote a blog post on Loopy Lattices. It became infamous amongst graph database practitioners as it taught them a very important lesson: Never give in to the temptat...
Read MoreMost master data projects fail because we’ve relied on monolithic MDM platforms, and therefore centralized, highly federated approaches to creating master data. The MDM concept is strong. The benefits...
Read MoreDespite early predictions that the deep learning hype would be ephemeral, we are happy to see the field still growing while delivering maturity in algorithms and architectures. ICLR 2022 was full of e...
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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