5 Keys to Build Machine Learning, AI, and Visualization Into Your Application - ERP Spain.com - España y América Latina

Machine learning and artificial intelligence has unlocked new possibilities that are delivering significant business value. However most companies don’t have the resources to not only build and maintain the supporting infrastructure, but also apply data science to build a smarter solution. Join us for this webinar and hear from John Huang, engineering and data analytics lead at Handshake, as he shares how he quickly and cost effectively scaled a small engineering team to build an AI-powered recommendation engine that profiles users and behaviors to present relevant next steps. In this webinar you will learn how to: -Simplify and accelerate data engineering processes including data ingest and ETL -Incorporate machine learning and AI into your production application without an army of data scientists -Choose an analytics engine that will enable key analytics such as attribution, step analysis, and linear regression -Embed visualizations into your application that drive stickiness