TDWI | Training & Research | Business Intelligence, Analytics, Big Data, Data Warehousing

Best Practices for Managing and Monitoring Open Source Predictive Models

Webinar Speaker: Fern Halper, TDWI VP Research, Senior Research Director for Advanced Analytics

Date: Thursday,December 6, 2018

Time: 11:00 a.m. PT, 2:00 p.m. ET

Webinar Abstract

PA/ML (Predictive analytics/machine learning) has hit the mainstream, and open source tools are now often an important piece of an organization’s adoption strategy. TDWI research repeatedly illustrates that more organizations are using tools like R and Python to build predictive models. However, building a model is one thing. Deploying that model into production is where the real value—and challenge—lies. Some businesses take upwards of six months or more to deploy models into production. There are numerous organizational and technology reasons for this. The good news is that vendors are offering tools to help organizations overcome the open source deployment challenge as well as monitor models in production.

This webinar focuses on successful PA/ML model deployment and management. Join Fern Halper, VP of TDWI Research, and Alteryx to learn about:

• The current state of PA/ML and the role open source plays
• Keys to successful model deployment and management
• Technologies to support the deployment of open source models

Fern Halper, Ph.D.

Sponsored By Alteryx