Remove 2018 Remove Experimentation Remove Risk Remove Testing
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Generative AI’s change management challenge

CIO Business Intelligence

Despite headlines warning that artificial intelligence poses a profound risk to society , workers are curious, optimistic, and confident about the arrival of AI in the enterprise, and becoming more so with time, according to a recent survey by Boston Consulting Group (BCG). A lot has happened since that last survey on attitudes to AI in 2018.

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

Corinium

Regulations and compliance requirements, especially around pricing, risk selection, etc., 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. Build multiple MVPs to test conceptually and learn from early user feedback.

Insurance 250
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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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A New Era in Data Warehousing

Cloudera

Leading insurers are underwriting policies with lower risks. Today, we are announcing Cloudera Data Warehouse – our battle-tested modern data warehousing solution – formerly known as Cloudera Analytic DB. Where traditional data warehousing begins to fall apart – we step in with Cloudera Data Warehouse.

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Six Nudges: Creating A Sense Of Urgency For Higher Conversion Rates!

Occam's Razor

It is 2018—why are there still light gray below-the-fold add to cart buttons? Not wanting to risk it, I click on the Find in Store link you see at the bottom of the page. Such is the case with A/B testing. Still, I’m heartbroken that some the simplest elements of ecommerce stink so much. youarekillingme. Yet, you don’t use them.

Strategy 124
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Themes and Conferences per Pacoid, Episode 11

Domino Data Lab

AutoPandas was created at UC Berkeley RISElab and the general idea is described in the NeurIPS 2018 paper “ Neural Inference of API Functions from Input–Output Examples ” by Rohan Bavishi, Caroline Lemieux, Neel Kant, Roy Fox, Koushik Sen, and Ion Stoica. Program Synthesis Papers at ICLR 2018 ” – Illia Polosukhin (2018-05-01).

Metadata 105