Remove 2018 Remove Experimentation Remove Testing
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Towards optimal experimentation in online systems

The Unofficial Google Data Science Blog

To find optimal values of two parameters experimentally, the obvious strategy would be to experiment with and update them in separate, sequential stages. Our experimentation platform supports this kind of grouped-experiments analysis, which allows us to see rough summaries of our designed experiments without much work.

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Regeneron turns to IT to accelerate drug discovery

CIO Business Intelligence

When Bob McCowan was promoted to CIO at Regeneron Pharmaceuticals in 2018, he had previously run the data center infrastructure for the $81.5 Empowering scientists through the cloud McCowan set about migrating Regeneron to Amazon Web Services in late 2018. If you are not on the cloud, you are going to be left behind.”

Data Lake 120
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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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Generative AI’s change management challenge

CIO Business Intelligence

A lot has happened since that last survey on attitudes to AI in 2018. With familiarity with generative AI being a key factor for its successful adoption, employees must get a chance to test it themselves. A smaller BCG survey five years ago saw 60% listing curiosity, 35% optimism, 40% concern, and 17% confidence.

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Interview with: Sankar Narayanan, Chief Practice Officer at Fractal Analytics

Corinium

Fractal’s recommendation is to take an incremental, test and learn approach to analytics to fully demonstrate the program value before making larger capital investments. It is also important to have a strong test and learn culture to encourage rapid experimentation. Fractal’s 2018 Net Promoter Score is greater than 70.

Insurance 250
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MNIST Expanded: 50,000 New Samples Added

Domino Data Lab

Recently, Chhavi Yadav (NYU) and Leon Bottou (Facebook AI Research and NYU) indicated in their paper, “ Cold Case: The Lost MNIST Digits ”, how they reconstructed the MNIST (Modified National Institute of Standards and Technology) dataset and added 50,000 samples to the test set for a total of 60,000 samples. Did they overfit the test set?

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How Italian CIOs produce value with gen AI

CIO Business Intelligence

Having overcome the initial perplexity about ChatGPT, Maffei tested gen AI in coding activity and found great benefits. The evolution of the chatbot For Alpitour World, the first experiments with traditional AI date back to 2018, conducted in an internal IT laboratory and in a protected research context.