\n","children":[{"type":"text","text":""}]},{"type":"p","children":[{"type":"text","text":"As we say goodbye to 2021, we wanted to create a roundup of our best blog posts\nand public interviews all in one place. It was a busy year for RelationalAI, so\nas we head into the new year let’s take a moment to look back at some of the\nexciting things that came out of 2021."}]},{"type":"h2","children":[{"type":"text","text":"2021 Roundup"}],"id":"2021-roundup"},{"type":"p","children":[{"type":"text","text":"1– In 2021, we began to open our\n"},{"type":"a","url":"https://docs.relational.ai/rkgms","title":null,"children":[{"type":"text","text":"Relational Knowledge Graph System"}]},{"type":"text","text":"\nup for early access to our preview users. Our\n"},{"type":"a","url":"/blog/categories/news","title":null,"children":[{"type":"text","text":"What’s New"}]},{"type":"text","text":" blog highlights our major product\nupdates and features as we’ve made them available across the year."}]},{"type":"p","children":[{"type":"text","text":"2 – Our CEO Molham Aref joined Melissa Koideof FinRegLab to discuss causal\ninference in machine learning, and the importance of communicating causal\nrelationships in data to key stakeholders. Listen on the\n"},{"type":"a","url":"https://soundcloud.com/finreglab/relational-ai-molham-aref-ceo","title":null,"children":[{"type":"text","text":"FinRegLab podcast"}]},{"type":"text","text":"."}]},{"type":"p","children":[{"type":"text","text":"3 – Our VP of Engineering Martin Bravenboer walked through Rel in a\nKnowledge Graph seminar at\nStanford University. The seminar emphasizes synthesis of AI, database systems\nand Human-Computer Interaction (HCI) in creating integrated intelligent systems\ncentered around knowledge graphs."}]},{"type":"p","children":[{"type":"text","text":"4 – Our RAI shots are small videos designed to describe complex topics distilled\nto their essence. In this "},{"type":"a","url":"/blog/rel","title":null,"children":[{"type":"text","text":"video"}]},{"type":"text","text":", our VP of\nPLG Ben Humphries explains how we built Rel, our declarative modeling language\ndesigned for building sophisticated data applications that use machine learning\nand artificial intelligence."}]},{"type":"p","children":[{"type":"text","text":"5 – Molham Aref joined Monika Mueller on the Softensity Leadership Series to\ntalk about modernizing legacy data applications using knowledge graphs. Watch\ntheir talk\n"},{"type":"a","url":"https://www.softensity.com/blog/siri-for-business","title":null,"children":[{"type":"text","text":"’Siri for Business’"}]},{"type":"text","text":"."}]},{"type":"p","children":[{"type":"text","text":"6 – Molham Aref chatted with the Knowledge Graph Conference’s Ellie Young about\nthe history of the relational paradigm and why knowledge graph technology will\nfollow the same path. Watch their talk\n"},{"type":"a","url":"/blog/knowledge-espresso","title":null,"children":[{"type":"text","text":"’How Relational Always Wins – How Relational is the Future of Knowledge Graphs’"}]},{"type":"text","text":"."}]},{"type":"p","children":[{"type":"text","text":"7 – At "},{"type":"a","url":"https://juliacon.org/2021/","title":null,"children":[{"type":"text","text":"Julia Con 2021"}]},{"type":"text","text":", Senior Computer Scientist\nHudar Nassar gave an overview of what we do at RelationalAI, highlighting how\nwe’ve used the Julia language to develop our Relational Knowledge Graph\nManagement System and declarative modeling language, Rel. Watch Huda’s talk\n"},{"type":"a","url":"/blog/relationalai-julia","title":null,"children":[{"type":"text","text":"‘RelationalAI and Julia’"}]},{"type":"text","text":"."}]},{"type":"p","children":[{"type":"text","text":"8 – Our "},{"type":"a","url":"https://docs.relational.ai/","title":null,"children":[{"type":"text","text":"documentation"}]},{"type":"text","text":" grew rapidly this year and\nwe’ve been excited to create content to allow our users to experiment with Rel.\nOur beginner tutorial is designed to provide an introduction to our declarative\nmodeling language by solving a problem for an imaginary electric vehicle\nbusiness using the power of Rel. Try it out in\n"},{"type":"a","url":"https://docs.relational.ai/getting-started/rel/my-first-rel-program/","title":null,"children":[{"type":"text","text":"‘My First Rel Program’"}]},{"type":"text","text":"."}]},{"type":"p","children":[{"type":"text","text":"9 – Industry leaders are focusing on the use of artificial intelligence in the\nclinical decision support process. Senior Director of Applied AI Michelle Yi\ndiscusses US FDA regulatory policies on artificial intelligence and machine\nlearning-based Software as a Medical Device in\n"},{"type":"a","url":"/blog/explainability-in-samd","title":null,"children":[{"type":"text","text":"‘Accelerating AI Adoption with Explainability in SaMD’"}]},{"type":"text","text":"."}]},{"type":"p","children":[{"type":"text","text":"10 – Our VP of AI Research Nikolaos Vasiloglou discusses increasing the\naccessibility of language models and challenging the state-of-the-art paradigms\nfor language models in the series\n"},{"type":"a","url":"/blog/trends-and-progress-in-ai-from-iclr-2021","title":null,"children":[{"type":"text","text":"‘Trends and Progress in Artificial Intelligence from ICLR 2021: Language Models & Data Programming’"}]},{"type":"text","text":"."}]},{"type":"p","children":[{"type":"text","text":"11 – Molham Aref discusses the ways that DiffBot helped us augment our own\nproduct knowledge graph dataset with data from the entire public web. Read\nDiffBot’s blog post\n"},{"type":"a","url":"https://www.diffbot.com/customer-stories/relationalai","title":null,"children":[{"type":"text","text":"‘How we helped a hot AI Startup build their own Knowledge Graph’"}]},{"type":"text","text":"."}]},{"type":"p","children":[{"type":"text","text":"12 – Our Relational Knowledge Graph Management System and declarative modeling\nlanguage, Rel, are designed for live programming. The Rel model can be edited by\nusers interactively and the system incrementally recompiles and reevaluates the\nmodel. Our VP of Engineering Martin Bravenboer and Computer Scientist George\nKastrinis explain more in\n"},{"type":"a","url":"/blog/rel-live-programming-and-self-modifying-models","title":null,"children":[{"type":"text","text":"‘Rel: Live Programming and Self-Modifying Models’"}]},{"type":"text","text":"."}]},{"type":"p","children":[{"type":"text","text":"13 – In our final blog post of 2021, we use the fictional Northwind Traders\ndatabase to show what it looks like to build data applications with our\nRelational Knowledge Graph Management System. Using the data, our Director of\nSoftware Engineering Trevor Paddock demos a simple business application scenario\nthat reveals a complication in application design. Read more in\n"},{"type":"a","url":"/blog/losing-the-middle-tier","title":null,"children":[{"type":"text","text":"‘Losing the Middle Tier’"}]},{"type":"text","text":"."}]},{"type":"h2","children":[{"type":"text","text":"Join Us!"}],"id":"join-us"},{"type":"p","children":[{"type":"text","text":"And that’s just some of the work we’ve been doing at RelationalAI over the past\nyear. If it sounds exciting (and it is!), and you’re wondering how you can join\nus, check out our "},{"type":"a","url":"/careers","title":null,"children":[{"type":"text","text":"Careers"}]},{"type":"text","text":" page and see where 2022 could take you! We\nhave openings in Admin, Marketing, Data Science, Development, Product, and Sales\nand we’d love to hear from you."}]}],"_content_source":{"queryId":"src/content/resources/year-in-review-2021.mdx","path":["resource","body"]}},"_content_source":{"queryId":"src/content/resources/year-in-review-2021.mdx","path":["resource"]}}},"errors":null,"query":"\n query resource($relativePath: String!) {\n resource(relativePath: $relativePath) {\n ... on Document {\n _sys {\n filename\n basename\n breadcrumbs\n path\n relativePath\n extension\n }\n id\n }\n ...ResourceParts\n }\n}\n \n fragment ResourceParts on Resource {\n __typename\n title\n description\n date\n image\n categories\n authors {\n __typename\n name\n link\n }\n seo {\n __typename\n keywords\n description\n image\n image_alt\n canonical_url\n author\n published\n modified\n language\n robots\n site_name\n content_type\n }\n body\n}\n 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RelationalAI Year in Review, 2021 · RelationalAI
Check out highlights of RelationalAI at Snowflake's Data Cloud Summit 2024!
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 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’.
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’.
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.