Guest Post: Real-time, high performance machine learning using NATS, Kubernetes, and MEAN Stack

By: Alejandro Esquivel - Date: June 6, 2017

I am studying Physics at UBC (University of British Columbia), and am a Software Engineer at Aida. Aida is an AI startup building a SaaS platform that provides fast, accurate, and automated assistance for customer support. Aida automatically learns questions and answers from past agent transactions and accurately responds to common support questions which typically account for 10%-30% of ticket volume. Unlike conventional chatbots, Aida does not rely on hand crafted, rule based templates which can only cope with a narrow range of inputs and is incredibly difficult to keep up to date. Read More…


Guest Post: How Clarifai uses NATS and Kubernetes for their Machine Learning Platform

By: Jack Li - Date: March 8, 2017

Clarifai is a machine learning company which aims to make artificial intelligence accessible to the entire world. Our platform allows users to tap into powerful machine learning algorithms while abstracting away the technical minutiae of how the algorithms work and the infrastructure scaling problems of building AI applications from scratch. Some of the machine learning algorithms that we run for users can take a few seconds to several minutes to complete. Read More…