Remove Data Processing Remove Data Science Remove Internet of Things Remove Optimization
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Big? ?Data:? ?The? ?Secret? ?to? ?Starbucks’? ? Supply? ?Chain? ?Success?

Sisense

Recently described as “not a coffee business, but a data tech company ,” the firm now has a dedicated team of data scientists, led by Jon Francis, Starbucks’ senior vice president of enterprise analytics, data science, research data, and analytics. Delving deeper into the in-store experience.

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Meet the newest Data Superheros: The Sixth Annual Data Impact Awards Finalists Are…

Cloudera

Here’s what a few our judges had to say after reviewing and scoring nominations: “The nominations showed highly creative, innovative ways of using data, analytics, data science and predictive methodologies to optimize processes and to provide more positive customer experiences.

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Themes and Conferences per Pacoid, Episode 9

Domino Data Lab

The lens of reductionism and an overemphasis on engineering becomes an Achilles heel for data science work. Instead, consider a “full stack” tracing from the point of data collection all the way out through inference. Let’s look through some antidotes. Machine learning model interpretability. Ergo, less interpretable.