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Optimizing clinical trial site performance: A focus on three AI capabilities

IBM Big Data Hub

Tackling complexities in clinical trial site selection: A playground for a new technology and AI operating model Enrollment strategists and site performance analysts are responsible for constructing and prioritizing robust end-to-end enrollment strategies tailored to specific trials. To do so they require data, which is in no shortage.

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Rising Tide Rents and Robber Baron Rents

O'Reilly on Data

Instead of continuing to deploy their attention optimization algorithms for their users’ and suppliers’ benefit, the tech giants began to use them to favor themselves. The most-clicked sponsored products were 17% more expensive and 33% lower ranked according to Amazon’s own quality, price, and popularity optimizing algorithms.

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Digital Commerce in the New Normal: An Overview

bridgei2i

A glance at the Adobe Digital Economy Index for April 2020 in the consumer tech & electronics department revealed some interesting insights: Online electronics prices have been experiencing deflation at a steady rate since 2014. The Optimizer plays a vital role in the pricing of commodities available on digital commerce sites.

Sales 52
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Towards optimal experimentation in online systems

The Unofficial Google Data Science Blog

the weight given to Likes in our video recommendation algorithm) while $Y$ is a vector of outcome measures such as different metrics of user experience (e.g., Experiments, Parameters and Models At Youtube, the relationships between system parameters and metrics often seem simple — straight-line models sometimes fit our data well.

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What is ITIL? Your guide to the IT Infrastructure Library

CIO Business Intelligence

ITIL 4 contains seven guiding principles that were adopted from the most recent ITIL Practitioner Exam, which covers organizational change management, communication, and measurement and metrics. Since 2014, Axelos is the owner of the ITIL personnel certification, and exams are administered by Accredited Training Organizations (ATOs).

IT 103
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Hitting the Gym With Neural Networks: Implementing a CNN to Classify Gym Equipment

Insight

I was familiar with the strategy of using data augmentation techniques (such as flipping, shearing, zooming, etc.) Choosing your loss function and optimizer Finally, in the last block of code, we must compile the model that we just built. We pass 3 parameters: loss, optimizer , and metrics. What the heck!

Metrics 58
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Building elite teams to map out the business and customer journey

CIO Business Intelligence

When you look at the customer journey, many companies say they’re customer obsessed, but you bring that into the DNA by looking at the input metrics that impact the customer experience, not the output metric. Because if you start looking at output metrics that impact the customer experience, it’s too late.