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Making Sense of Analytic Deployment Technology
By Stu Bailey
Opinions expressed by ICN authors are their own.
Monetizing your models with machine learning solutions
Connecting the business user to the science is a necessary step for companies looking to extend their leadership position
Key steps to model creation: data cleaning and data exploration
By following best practices and philosophies around these processes, an organization can enable successful collaboration and iteration between data science and IT teams
Handing off models from data science to IT
The relationship between your data science and IT teams can complicate the deployment of analytic models
Where are you in your analytical journey?
5 stages of the analytic process for data scientists and IT, plus a few best practices for tackling those stages.
Modern IT and data science in an era of analytic deployment
How data scientists and IT build and deploy their analytics models
