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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.

Let’s talk about your data and all that it could be doing for your business.

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Ironside is a data, analytics, and AI consulting and technology implementation company. We work with clients to understand their business objectives and day-to-day challenges, then employ our deep expertise in data strategy, architecture and engineering, integration, business intelligence, AI, and generative AI. We create technical solutions and practical approaches designed to drive smarter, data-driven decisions across a company and help it move further and faster toward its business goals.

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781-860-8840

For inquiries: GetInsights@IronsideGroup.com

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Office Address
131 Hartwell Ave
Lexington, MA 02421

Corporate Mailing Address
Ironside Group, LLC
6 Liberty Sq
Suite 91143
Boston, MA 02109

Regional offices in Atlanta, Austin, Boston, Charlotte, New York City and Orlando

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Also of Interest
  • Snowflake as a Data Wrangling Sandbox
  • Snowflake: Best Practices
  • Data Scientist Archives - Page 4 of 4
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