Organizations are excited about predictive analytics and machine learning for a number of reasons. Companies want to better understand customer behavior. They want to better predict failures in their infrastructure. The uses for predictive analytics are extensive and growing.
Yet organizations are struggling to put the models they build into production. TDWI research indicates that it takes some businesses six months or more to deploy models into operation. Additionally, many organizations do not have the tools for managing and monitoring these models, so if they do get them into production, they often become stale and useless. Some of these problems are due to organizational issues; some are technology-based. The good news is that vendors are offering tools to help organizations overcome the deployment challenge.
This webinar focuses on five keys to successful model deployment and management. Join Fern Halper, VP of research, and Alteryx to learn about:
Individual, Student, & Team memberships available.