Conquering Time Series Problems with AI and AutoML

Presented by

Gregory Kanevsky, Principal Solutions Architect at H2O.ai

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 - H2O.ai'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 H2O.ai

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H2O.ai is the maker of H2O, the world's best machine learning platform and Driverless AI, which automates machine learning. H2O is used by over 200,000 data scientists and more than 18,000 organizations globally. H2O Driverless AI does auto feature engineering and can achieve 40x speed-ups on GPUs.