Data Science Best Practices: Feature Stores
Take30 with a Data Scientist – 6/9/20
Feature stores are an optimal way to minimize rework and accelerate data science efforts, but needs to be well thought out and carefully governed. In this session, we’ll discuss some of the approaches and considerations when establishing this key component of an AI habitat.
Pam Askar | Director of Data Science
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THURSDAY TOPICS, 10:00 AM ET
| October 22 | How to plan for data projects leveraging AWS Presented by a Data Advisor |
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| October 29 | Evaluation techniques for ML algorithms Presented by a Data Scientist |
| November 5th | What’s New in Tableau 2020.3 Presented by a BI Expert |
| November 12th | Leveraging AWS Governance at Scale to Accelerate Cloud Adoption Presented by a Data Advisor |
| November 19 | Design Sprints – Reduce Risk, Drive Adoption Presented by a BI Expert |
Ironside helps companies translate business goals and challenges into technology solutions that enable insightful analysis, data-driven decision making and continued success. We help you structure, integrate and augment your data, while transforming your analytic environment and improving governance.
