Conquering Time Series Problems with AI and AutoML

Presented by

Gregory Kanevsky, Principal Solutions Architect at

About this talk

Time series make up a growing share of real-world use cases across many industries. In this webinar, we explain various applications of H2O Driverless AI, which enables businesses to automate development and deployment of state of the art AI/ML forecasting and signal processing models in record times and at scale. In this webinar, you will learn: - Types of time series data and problems -'s approach to automating time series problems using the Driverless AI solution extensibility and customization and other tips to solve wider variety of problems and achieve best results - A live demo of Driverless AI showcasing problem setup, automated ML pipeline and model deployment Presenter: Gregory Kanevsky, Principal Solutions Architect at

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