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Data Engineers of Netflix?—?Interview with Samuel Setegne

Netflix Tech

Data Engineers of Netflix?—?Interview Interview with Samuel Setegne Samuel Setegne This post is part of our “Data Engineers of Netflix” interview series, where our very own data engineers talk about their journeys to Data Engineering @ Netflix. What drew you to Netflix?

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Enhancing customer care through deep machine learning at Travelers

CIO

New York-based insurance provider Travelers, with 30,000 employees and 2021 revenues of about $35 billion, is in the business of risk. s SVP and chief data & analytics officer, has a crowâ??s s nest perspective of immediate and long-term tasks to equally strengthen the company culture and customer needs.

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The Coforge Viewpoint: How Intelligent Digital Technologies will reshape Insurance Operations

Coforge

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Once Upon a Time in the Land of Data

Cloudera

Tracks represented financial services, insurance, retail and consumer packaged goods, and healthcare. Overall, it struck me that while data science is not new, most firms are still defining the mission of the data office and data officer. As an example, specialty insurance underwriting was highlighted.

Data 77
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CIOs take aim at Silicon Valley talent

CIO

Perceptions are shifting Lately, there is more receptivity to hearing about opportunities in other sectors for positions in information security, data, engineering, and cloud, observes Craig Stephenson,managing director for the North America technology, digital, data and security officers practice at Korn Ferry.

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How Create a More Inclusive Workplace for LGBTQ Employees

Let's Grow Leaders

Tammy Cravit is a data engineer, friend, and advocate for LGBTQ inclusion. How do we move LGBTQ Inclusion from a “Check the Box” exercise to an integrated part of our culture? AskingForaFriend. More on Tammy Cravit and her Journey as a Transgender Woman and Inclusive Workplace Role Model.

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The role of self-service BI for business agility

Capgemini

Unfortunately, for many organizations, this change is slowed by internal issues, fiefdoms, and siloed data and systems. But for smart organizations that have sorted out data access and sharing requirements, self-service BI drives data literacy. Putting data at every business users’ fingertips is the essence of self-service BI.

Agile 52