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Data Science Delays! How to develop mission critical analytic deployment capabilities.

May 23, 2017


Session Time and Date

Tuesday, May 23rd from 1pm – 2pm CDT


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Presentation Description

To gain in-market competitive advantage, enterprises are leveraging the new wave of applied data science and analytics. The use-cases are myriad, including efficiently improving customer acquisition and pricing power, while simultaneously reducing customer churn and overall campaign risk. Companies are investing significant time and resource to analytic model creation. But, few are asking the question: “What do I do with this model once I have created?” or “How do I compare a model built in R with one from Python?” Turn to any of your fellow analytics professionals, and stories abound with comments like “Why did that take so long to measure?” or “Why does it take 6 months to get an improved churn model”? Part of the problem is that organizations are not prepared to quickly and efficiently deploy and iterate on the data science models they are creating.

This tutorial introduces principle concepts, tools, and methodologies which allow an organization to deploy and evolve mission critical analytics in a fast, safe, repeatable, and scalable manner. The tutorial will be relevant for deploying a wide range of analytics from simple as thresholds to complex machine learning models generated by the latest tools. Topics covered will include the primary concepts of Analytic Engines, Model Interchange Formats, Analytic Lifecycle Management, and Analytic Deployment Metrics and Benchmarks. Finally, Garrett will walk the audience through real world analytic deployment scenarios that can be used in their own organization.


United States


Primary Speaker First Name
Primary Speaker Last Name
Primary Speaker Bio
Garrett is the VP of Marketing with Open Data Group. Garrett has worked with both fortune 100 and start-ups to create value added products and grow businesses for the past 20 years. At Open Data Group, Garrett is focused on helping enterprises efficiently deploy their predictive analytics models to ensure maximum value from data science investments. Prior to Open Data Group, Garrett was a Sr. Director of Marketing at Sandisk, Inc (now a Western Digital Company). At SanDisk, Garrett was responsible for starting two new lines of business focused on the enterprise storage and connected home markets. Garrett got his start in marketing at KLA-Tencor (KLAC), where he led a $100M business unit marketing team. Garrett has a BS in Electrical Engineering from Carnegie Mellon University, where he ran four years of track and field.
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