Welcome to the Machine Learning Lifecycle 2021 Online Conference! In this opening session we’ll share some insights into what will be presented throughout the conference, including both live sessions as well as on-demand sessions. We will also answer the question: What is the Machine Learning Lifecycle? And also discuss why is there an event focused entirely around the whole Machine Learning lifecycle. We’ll touch upon the five core topics areas of this event including ML Model Development, ML Model Management, ML Operations (MLOps), ML Model Governance, and all other Model-related Topics. We’ll also discuss why this event has both a public sector and private industry focus as well.
|Welcome Session and|
DataRobot is the leader in enterprise AI, delivering trusted AI technology and ROI enablement services to global enterprises. DataRobot’s enterprise AI platform democratizes data science with end-to-end automation for building, deploying, and managing machine learning models.
Production AI Model Management at Scale
Automate the standardized deployment, monitoring, governance, and validation of all your models to be developed in any environment. A single, production-grade environment for all your SAS, R, Machine Learning, and Regression model needs
Zorroa’s no-code ML integration platform makes process automations with machine learning APIs from GCP, AWS, and Azure accessible in under an hour. Its platform enables media technologists to stand up rapid-cycle experiments and scale their ML projects without code, data prep, or vendor lock-in.