RelationalAI Year in Review, 2021

Mia Wilson

26 January 2022

2 min read

As we say goodbye to 2021, we wanted to create a roundup of our best blog posts and public interviews all in one place. 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.

2021 Roundup

1– In 2021, we began to open our Relational Knowledge Graph Management System up for early access to our preview users. Our What’s New blog highlights our major product updates and features as we’ve made them available across the year.

2 – Our CEO Molham Aref joined Melissa Koideof FinRegLab to discuss causal inference in machine learning, and the importance of communicating causal relationships in data to key stakeholders. Listen on the FinRegLab podcast.

3 – Our VP of Engineering Martin Bravenboer walked through Rel in a Knowledge Graph seminar at Stanford University. The seminar emphasizes synthesis of AI, database systems and Human-Computer Interaction (HCI) in creating integrated intelligent systems centered around knowledge graphs.

4 – Our RAI shots are small videos designed to describe complex topics distilled to their essence. In this video, our VP of PLG Ben Humphries explains how we built Rel, our declarative modeling language designed for building sophisticated data applications that use machine learning and artificial intelligence.

5 – Molham Aref joined Monika Mueller on the Softensity Leadership Series to talk about modernizing legacy data applications using knowledge graphs. Watch their talk ‘Siri for Business’.

6 – Molham Aref chatted with the Knowledge Graph Conference’s Ellie Young about the history of the relational paradigm and why knowledge graph technology will follow the same path. Watch their talk ‘How Relational Always Wins – How Relational is the Future of Knowledge Graphs’.

7 – At Julia Con 2021, Senior Computer Scientist Hudar Nassar gave an overview of what we do at RelationalAI, highlighting how we’ve used the Julia language to develop our Relational Knowledge Graph Management System and declarative modeling language, Rel. Watch Huda’s talk ‘RelationalAI and Julia’.

8 – Our documentation grew rapidly this year and we’ve been excited to create content to allow our users to experiment with Rel. Our beginner tutorial is designed to provide an introduction to our declarative modeling language by solving a problem for an imaginary electric vehicle business using the power of Rel. Try it out in ‘My First Rel Program.

9 – Industry leaders are focusing on the use of artificial intelligence in the clinical decision support process. Senior Director of Applied AI Michelle Yi discusses US FDA regulatory policies on artificial intelligence and machine learning-based Software as a Medical Device in ‘Accelerating AI Adoption with Explainability in SaMD.

10 – Our VP of AI Research Nikolaos Vasiloglou discusses increasing the accessibility of language models and challenging the state-of-the-art paradigms for language models in the series ‘Trends and Progress in Artificial Intelligence from ICLR 2021: Language Models & Data Programming’.

11 – Molham Aref discusses the ways that DiffBot helped us augment our own product knowledge graph dataset with data from the entire public web. Read DiffBot’s blog post ‘How we helped a hot AI Startup build their own Knowledge Graph’.

12 – Our Relational Knowledge Graph Management System and declarative modeling language, Rel, are designed for live programming. The Rel model can be edited by users interactively and the system incrementally recompiles and reevaluates the model. Our VP of Engineering Martin Bravenboer and Computer Scientist George Kastrinis explain more in ‘Rel: Live Programming and Self-Modifying Models’.

13 – In our final blog post of 2021, we use the fictional Northwind Traders database to show what it looks like to build data applications with our Relational Knowledge Graph Management System. Using the data, our Director of Software Engineering Trevor Paddock demos a simple business application scenario that reveals a complication in application design. Read more in ‘Losing the Middle Tier’.

Join Us!

And that’s just some of the work we’ve been doing at RelationalAI over the past year. If it sounds exciting (and it is!), and you’re wondering how you can join us, check out our Careers page and see where 2022 could take you! We have openings in Admin, Marketing, Data Science, Development, Product, and Sales and we’d love to hear from you.

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