MLOps London July: Talks on Autonomous Vehicles and Enterprise MLOps
As roads melted, infrastructure ground to a halt and the UK suffered record-breaking temperatures; at MLOps London, the show triumphantly went on. […]
MLOps London May
Talks on Feature Stores and Machine Learning Security Tuesday 10th May saw our MLOps London meetup return, this time featuring talks on […]
<strong>Noitso accelerates model deployment from days to hours</strong>
The rise of big data and machine learning has created a booming market for solutions providers that can provide businesses with detailed […]
MLOps London March
Talks on production machine learning from Toloka and Mesh AI After a brief stint of online-only action during January, it was a […]
<strong>A spotlight on Seldon’s growing Slack community</strong>
By Ed Shee, Head of Developer Relations Recently, we celebrated the advent of our 2,000th Slack community member here at Seldon! As […]
IWD 2022 – #BreakTheBias
It’s international women’s day, and today, we are paying homage to 4 of the fantastic women in the Seldon Team. This year’s […]
Seldon Deploy featured in Red Hat’s bolstered partner Ecosystem
This week, we’re very pleased to share that Seldon Deploy has been included in Red Hat’s new OpenShift Data Science (ODS) service. […]
Seldon appoints Herb Cunitz as Chair of the Board
Seldon is delighted to announce the appointment of our new Chair of the Board, Herb Cunitz. Herb will be responsible for guiding […]
Seldon at World Summit AI 2021
Last week, the Seldon team headed to the Beurs van Berlage in Amsterdam for the return of the World Summit AI. Excitingly, […]
Simple Production ML with Metaflow and Seldon
This article was a collaboration between Clive Cox from Seldon and Oleg Avdeev from Outerbounds. Clive is CTO of Seldon and works […]
Seldon turns seven!
Saturday 28th August marked Seldon’s seventh birthday since incorporation in 2014, and we’ve achieved some fantastic milestones in that time. In the […]
Bias vs Fairness vs Explainability in AI
Over the last few years, there has been a distinct focus on building machine learning systems that are, in some way, responsible […]