Rsqrd is a community of AI builders [engineers, scientists, product managers, etc] who are committed to making AI technology robust & responsible. We regularly organize community events to share knowledge and collaborate on best practices for enterprise-scale AI development. Rsqrd brings together AI builders across AI-focused enterprises:
Discover what happened at past events:
Challenges in Deploying Explainable Machine Learning (w/ Umang Bhatt)
In this talk, Rsqrd AI welcomes Umang Bhatt, Ph.D. student in the Machine Learning Group at the University of Cambridge and Research Fellow at
Read MoreTraining CV Models with Synthetic Data (w/ Cesar Romero + Unity)
In this talk, Rsqrd AI welcomes Cesar Romero, Principle ML Engineer at Unity Technologies! Cesar speaks about the value of synthetic data and its potential
Read MoreAugust 6: A Practical Approach to Reliable ML Pipelines
Any robust ML/AI application should begin with reliable & reproducible data pipelines. Yet, when speaking with practitioners they cite ML pipelines to be one of the biggest infrastructural challenges of an AI project. What are the best practices in building ML pipelines? What does the open source ecosystem offer today? What is your current wishlist when it comes to ML pipelines? All of these questions and more will be discussed in an exciting talk presented by a Microsoft's Head of Open Source ML & co-founder of Kubeflow.
View past event on EventbriteJuly 22, 2020: Explainable ML - Reality & Roadmap
Explainable ML has been one of the hottest topics in the ML community over the years. There are countless articles on methods and techniques that could be used to enable explainability. How are these techniques actually used in deployed systems? What are the gaps between existing techniques and the needs of production systems? Join us for two fantastic talks that bring forward extensive research conducted by Partnership on AI and University of Cambridge on Explainable ML's reality & roadmap.
View past event on Eventbrite