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Data collection and data markets in the age of privacy and machine learning

O'Reilly Media - Data

I list a few examples from the media industry, but there are are numerous new startups that collect aerial imagery, weather data, in-game sports data , and logistics data, among other things. If you are an aspiring entrepreneur, note that you can build interesting and highly valued companies by focusing on data.

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Why You Need ML Ops for Successful Innovation

TIBCO - Connected Intelligence

According to the Gartner Data Science Team survey, conducted at the end of 2017, even within organizations benefiting from the expertise of mature data science teams, less than half of data science projects end up being fully deployed. Optimize People, Processes, and Technology: Data science is a team sport.

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Extra Crunch roundup: How Duolingo became an edtech leader

TechCrunch

Organizations that have not started on their analytics journey or are spending scarce data engineer resources to resolve issues with analytics implementations are not identifying actionable data insights. The company that appeared to come out of nowhere in 2017 eventually had a final private valuation of $35 billion.

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