Parsing the Crowded World of Data Analytics: Highlights
Our board member Bob Muglia recently met with Sanjeev Mohan in an interview for the It Depends podcast. Bob and Sanjeev discussed the challenges, trends, technologies and the general pulse of the ever-changing data analytics market. Here are some highlights from their discussion!
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Knowledge Graphs for Earthquake Data
Rel and the Relational Knowledge Graph Management System provide an excellent tool for investigating and analyzing seismic data. This project illustrates an example of working with data that is distri...
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Trick-Or-Treating With Rel
Here at RelationalAI, we're passing out knowledge graphs to trick-or-treaters. Come and get spooked with us as we solve a Halloween logic puzzle in Rel, our relational modeling language. You'll see ho...
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Declarative Quantum Computing
All businesses regularly confront difficult decisions. Even when these decisions are constrained (perhaps by budgets) and the cost implications of the decisions are complex, optimization algorithms m...
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RelationalAI Named in the 2022 Gartner® Cool Vendors in Augmented Data Management
We’re honored that RelationalAI has been recognized as a Gartner Cool Vendor for Augmented Data Management. We built RelationalAI’s groundbreaking relational knowledge graph system to eliminate knowle...
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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 AllParsing the Crowded World of Data Analytics: Highlights
Our board member Bob Muglia recently met with Sanjeev Mohan in an interview for the It Depends podcast. Bob and Sanjeev discussed the challenges, trends, technologies and the general pulse of the ever...
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Trends in Machine Learning: ICML 2022
The 38th International Conference on Machine Learning (ICML) took place in mid-July in hybrid mode, two months after the International Conference on Learning Representations (ICLR) 2022. In our analys...
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Stop Wasting Good Data: Reclaim Predictive Information with Knowledge Graphs
As we move to data-centric AI, we demand higher quality data. Yet, the first step in creating predictive models often involves tossing out predictive information. In this post, we’ll look at how data...
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RelationalAI CLI and Public GitHub Repo
We are excited to announce the RelationalAI Command-Line Interface, which is used to interact with the Relational Knowledge Graph Management System (RKGMS).
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Boolean and Missing: What Are They Good For?
RelationalAI is built on knowledge graphs, which rarely use null and boolean values. And yet, Rel, RelationAI’s declarative modeling language, has a Missing data type to represent null values, and a B...
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Recursive Computations in Rel
We are excited to announce the latest enhancements to our Relational Knowledge Graph Management System (RKGMS) that substantially improve the performance of certain recursive computations.
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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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