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Full Steam Ahead: CIO Kopal Raj of WABTEC on staying ‘on-track’ with AI, IoT and sustainability goals

CIO Business Intelligence

Our products are sometimes tested for a year before being launched in the field. What are some of the steps that you are taking to foster a culture of innovation and experimentation amongst the employees and customers, and encourage them to move towards digital transformation in in their work?

IoT 91
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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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Experiment design and modeling for long-term studies in ads

The Unofficial Google Data Science Blog

A/B testing is used widely in information technology companies to guide product development and improvements. For questions as disparate as website design and UI, prediction algorithms, or user flows within apps, live traffic tests help developers understand what works well for users and the business, and what doesn’t.

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Teaching AI to Smell by Using DataRobot

DataRobot

Traditionally, experimentation and observation was the only way to understand the physical-chemical properties of the molecule. It was introduced in 1980 but open-sourced in 2007, which created its widespread use. To foster innovation in this area, AICrowd hosted a competition to predict the olfactory properties of a molecule.

Metrics 52
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Knowledge

Occam's Razor

The Awesome Power of Visualization 2 -> Death and Taxes 2007. Five Reasons And Awesome Testing Ideas. Lab Usability Testing: What, Why, How Much. Build A Great Web Experimentation & Testing Program. Experimentation and Testing: A Primer. Interviewing Tip: Stress Test Critical Thinking.

KPI 124
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Measuring Incrementality: Controlled Experiments to the Rescue!

Occam's Razor

Then they isolated regions of the country (by city, zip, state, dma pick your fave) into test and control regions. People in the test regions will participate in our hypothesis testing. So for variation #3, no catalogs or email were sent to the customers in the test group. The nice thing is that you can also test that!

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The Lean Analytics Cycle: Metrics > Hypothesis > Experiment > Act

Occam's Razor

Sometimes, we escape the clutches of this sub optimal existence and do pick good metrics or engage in simple A/B testing. Testing out a new feature. Identify, hypothesize, test, react. But at the same time, they had to have a real test of an actual feature. You don’t need a beautiful beast to go out and test.

Metrics 156