This webinar will focus on the technical and practical aspects of creating
and deploying predictive analytics. We have seen an emerging need for
predictive analytics across clinical, operational, and financial domains.
One pitfall we’ve seen with predictive analytics is that while many people
with access to free tools can develop predictive models, many organizations
fail to provide a sufficient infrastructure in which the models are deployed
in a consistent, reliable way and truly embedded into the analytics
environment. We will survey techniques that are used to get better
predictions at scale. This webinar won’t be an intense mathematical
treatment of the latest predictive algorithms, but will rather be a guide
for organizations that want to embed predictive analytics into their
technical and operational workflows.
Date: Thursday, October 13, 2016
Time: 1:00–2:00 PM ET
Topics will include:
- Reducing the time it takes to develop a model
- Automating model training and retraining
- Feature engineering
- Deploying the model in the analytics environment
- Deploying the model in the clinical environment
We look forward to you joining us.
