RelationalAI | Resources

Trends in Machine Learning: ICLR 2022

This was the 10th ICLR conference, marking the golden decade of deep learning and AI. 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 exciting papers. Here at RelationalAI we spent ~100 hours going through the content as we believe it will drive the commercialization of AI in the following years. Here we present what we found to be the most noteworthy ideas.

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 themselves.

Handling JSON Data in Rel

New JSON functionality json_string and load_json in Rel

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.

RelationalAI Raises $122M to Redefine How Intelligent Data Apps Are Built

Creates the first relational knowledge graph system; adds Bob Muglia to its board.

RelationalAI Java SDK and Public GitHub Repo

Introducing the RelationalAI SDK for Java.

Case Study: Big 4 Tax Accountancy Sees 10X Speedup

Learn how the RelationalAI team was able to work with a big 4 tax agnecy to capture complicated application logic with 50 times less code. Find out how they accelerated calculations up to 10 times faster.