Remove 2018 Remove Blog Remove Risk Remove Uncertainty
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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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Covid Data: An anomalous blip, or the new normal?

Cloudera

That compares to only 36 percent of customer interactions as of December 2019, which was before the pandemic impacted business, and only 20 percent in May 2018. Insurance and finance are two industries that rely on measuring risk with historical data models. Data Variety.

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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. This resulted in staff spending more time on more complex tasks while also reducing human errors and security risks.

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Simulation for better decision making

Cloudera

My narrower vision of the next advancement in analytics is driven (or biased) by my quantitative risk management background and the critical role that computational simulation capabilities have played in many advances in the world of finance. Derman (2016), Cesa (2017) & Bouchard (2018)). Blog Post, Nov-2016. Mauro Cesa. “A

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What Will Drive Innovation in this Great Reset

Andrew White

In this second phase executive leaders will need to make critical business decisions with even less data and with more uncertainty. Many highly leveraged firms will be at risk; debt will be at record levels in public and private so anyone who has cash will be predatory. I was wrong in the blog, of course.

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Towards optimal experimentation in online systems

The Unofficial Google Data Science Blog

This blog post discusses such a comprehensive approach that is used at Youtube. Crucially, it takes into account the uncertainty inherent in our experiments. In this section we’ll discuss how we approach these two kinds of uncertainty with QCQP. And we can keep repeating this approach, relying on intuition and luck.

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Data Science, Past & Future

Domino Data Lab

This blog post provides a concise session summary, a video, and a written transcript. The year 2018 was what Wall Street Journal called “ a global reckoning on data governance.” You see these drivers involving risk and cost, but also opportunity. They’re being told they have to embrace uncertainty.