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How to Create a Data Fluent Organization

Juice Analytics

Few people, and fewer organizations, consistently engage with the data and use it to guide their thinking. Our vision is for everyone, from front-line customer service agents to senior executives, to leverage the mountain of data at their disposal. If you’d like to read the full chapter, download the PDF here.

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Five Startup Apps with Embedded Use Cases We Love

Sisense

COVID-19 drove many of us back into our homes and saw us spending tons of time on our phones, with Android users spending 3.5 Successful apps by startup companies take many forms, endlessly attempting to outdo each other in offering customers the coolest features, attracting VC funding, and eking out a competitive advantage.

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Themes and Conferences per Pacoid, Episode 12

Domino Data Lab

Secondly: some key insights discussed at Sci Foo finally clicked for me—after I’d heard them presented a few times elsewhere. If the field of data science had matured for over a decade, with tens of thousands of super-smart people flooding into highly sought data science roles, how did those kind of data blunders happen en masse?

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Data Science at The New York Times

Domino Data Lab

In the Rev session , “Data Science at The New York Times”, Chris Wiggins provided insights into how the Data Science group at The New York Times helped the newsroom and business be economically strong by developing and deploying ML solutions. For more insights from this session, watch the video or read through the transcript.