Retain your customers and boost your profits with AutoML at scale - Seguridad Mania.com - España y América Latina

How H2O.ai & Vertica shorten the end-to-end AI pipeline and improve the accuracy of Machine Learning models to help you retain your customers and increase profits? According to various studies, the cost of customer acquisition is 5 to 7 time higher than retention. In addition, the average basket size of a loyal customer (€52.50) is twice the size of a new customer basket according to a McKinsey & Company study. Join our webinar presentation and demo to learn how AutoML at scale using H2O.ai & Vertica enables you to retain your customers and increase profits with Auto-ML to dynamically act on the right customer, at the right time through the right channel. Vertica enables easy and fast access to the right historical & live data as the event occurs while H2O.ai facilitates the Auto-ML models to create accurate predictions. With the seamless integration back to Vertica, the AI models are deployed at scale for immediate business outcome so data science projects don’t remain in the “black box”. Background information: H2O.ai, a Silicon Valley founded business, ranked by Gartner as a visionary company, automates machine learning, bringing AI within reach of every company and business users. Vertica is the Unified Analytics Warehouse designed for big data that allows you to run your queries and analytics without any compromise in terms of high-concurrency, speed and scalability, and is infrastructure-agnostic. Both world-class technologies have enabled thousands of customers in various industries (telecommunications, retail, banking, insurance, health care, pharma, etc.) to accelerate their AI transformations, shortening the end-to-end analytics pipeline and drastically improving the accuracy of predictive models. Please note that by registering for this event, our partner and co-host of this webinar H2O.ai may contact you with information about webinars and other news, products, or services that may be of interest to you.