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 graphs.
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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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Metadata Management Series: Weaving Asserted and Discovered Metadata into Your Data Fabric RelationalData Fabric
Showing 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...
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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 AllKGC 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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The False Dichotomy of ‘Graph vs. Relational’
What modern graph platforms have learned from SQL and relational databases.
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Case Study: Big 4 Tax Accountancy Sees 10X Speedup
Read 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...
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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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