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Modernizing data science lifecycle management with AWS and Wipro

AWS Machine Learning

By the end of the consulting engagement, the team had implemented the following architecture that effectively addressed the core requirements of the customer team, including: Code Sharing – SageMaker notebooks enable data scientists to experiment and share code with other team members.

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23 Inspiring Women to Watch in 2023

TechSee

Tabinda Kahn, TELUS International – Tabinda leads GTM activities for TELUS International as their Senior Digital Solutions Product Marketing Manager. She is also an active member of the Women in AI Canada group, participating in mentorships, events, & talk shows.

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Automated exploratory data analysis and model operationalization framework with a human in the loop

AWS Machine Learning

In the Create Feature Group section of the generated notebook, update the following fields for the event time and record identifier with the column names we created in the previous Data Wrangler step: record_identifier_name = "Record_id". Choose the kernel Python 3 (Data Science) on the newly opened notebook tab.