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Machine Learning Product Management: Lessons Learned

Domino Data Lab

I was fortunate to see an early iteration of Pete Skomoroch ’s ML product management presentation in November 2018. Pete Skomoroch, San Francisco, November 2018. Pete indicates, in both his November 2018 and Strata London talks, that ML requires a more experimental approach than traditional software engineering.

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Serving the Public Through Data

Cloudera

In a world rife with uncertainty, governments need to ensure that their citizens’ health and well-being are taken care of even as they seek to keep their economies afloat. Through processing vast amounts of structured and semi-structured data, AI and machine learning enabled effective fraud prevention in real-time on a national scale. .

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Data Science, Past & Future

Domino Data Lab

It’s also a driver for data science. The year 2018 was what Wall Street Journal called “ a global reckoning on data governance.” ” If you don’t know, there were hundreds of millions of people affected worldwide during 2018 with security breaches and then data privacy leakage.

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How ASEAN Retailers Can Become insight driven with a Hybrid Cloud data strategy

Cloudera

In a 2020 study by Facebook and Bain & Co , approximately 310 million customers in Southeast Asia (ASEAN) are expected to shop online with an average spend of US$172 this year, compared to the 250 million customers and average spend of US$124 in 2018. . Making Hybrid Cloud Work for Data-Driven ASEAN Retailers .

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Decision-Making in a Time of Crisis

O'Reilly on Data

But when making a decision under uncertainty about the future, two things dictate the outcome: (1) the quality of the decision and (2) chance. This essay is about how to take a more principled approach to making decisions under uncertainty and aims to provide certain conceptual and cognitive tools for how to do so, not what decisions to make.