(RAI)volutionizing Master Data
Most 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 and uses of master data can provide value to those corporations who successfully implement it. However, we need to fundamentally change our approach to implementation.
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Modeling an Agent-Based Simulation in a Relational Database
We 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...
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AI-Enhanced Customer Experiences with Relational Knowledge Graphs
A Fortune 50 retailer drove $1 billion in incremental revenues over the last three years after deploying AI models developed by RelationalAl.
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Metadata Management Series: Compliance Reasoning with Knowledge Graphs
Demonstrating the details of weaving metadata into a knowledge graph to automate checking and maintenance of complex policy requirements.
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RelationalAI Raises $122M to Redefine How Intelligent Data Apps Are Built
Creates the first relational knowledge graph system; adds Bob Muglia to its board
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RelationalAI Year in Review, 2021
It 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.
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View All(RAI)volutionizing Master Data
Most 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...
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Trends in Machine Learning: ICLR 2022
Despite 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...
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KGC Highlights: The Relational Approach to Graphs is Here to Stay
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...
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Research
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Deep Learning with Relations, NeurIPS 2021
Molham 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...
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AI workloads inside databases, NeurIPS 2021
This 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...
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Machine Learning through Database Glasses, NeurIPS 2021
This 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...
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Semantic Optimizer
Semantic Optimization makes your complex data workloads more efficient, which in turn improves overall system performance and scalability.
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Dovetail Join
Dovetail 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.
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Demo Highlights
This 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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