Kubeflow is an MLOps toolkit originally created by Google that has integrated components for model development, model training, multi-step pipelines, AutoML, serving, monitoring, artifact management, and experiment tracking. The project aims to reduce costs associated with Running production machine learning workflows at scale with new capabilities. The PyTorch training operator can now be scaled up … continue reading
Neo4j announced Neo4j AuraTM, a fully-managed database as a service. Neo4j Aura enables developers, architects and data scientists to deploy, scale and power connected data applications in the cloud. According to the company, it requires no administration, and features simple pricing, always-on availability, on-demand scaling, guaranteed data durability, built in authentication and end-to-end data encryption. … continue reading
A new artificial intelligence platform wants to automate the machine learning process for data scientists and developers from data to impact. AI company Aible announced Aible Advanced, an AutoML solution designed to generate predictive models for businesses. According to the company, legacy AutoML solutions don’t provide proper access for both developers and data scientists, and … continue reading
Google is already harnessing the power of artificial intelligence with its multi-touch, location, identity and payment features, but according to Google CEO Sundar Pichai, developing for an AI-first world means rethinking many of Google’s products. At today’s kick-off of Google I/O 2017, Google announced several ways it is embracing this shift in computing. The company … continue reading
