End-to-end wiring using Kubeflow, Kafka and ElasticSearch

Open source technologies, like Kubeflow, are increasingly being used for AI/ML and predictive modeling across industries. However, operationalising the model and building the AI/ML infrastructure requires planning, automation and a lot of DevOps resources. Our latest webinar provides real world application in finserv ai, with a demo on building and training an AI/ML model on bare metal using MAAS, Kubeflow, Kafka and ElasticSearch to predict whether the S&P 500 will close positive or negative on the current day, drawing on past data. Canonical engineers also provide details on the operations-side of AI/ML, with infrastructure considerations, automation tooling and additional services available. In this webinar you will learn: Details of an ML, production use case for end-to-end wiring using multiple applications Demo of building and training an AI/ML model for predicting S&P performance Highlight additional solutions and tooling to implement, secure and manage open source technologies in production