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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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Misadventures in experiments for growth

The Unofficial Google Data Science Blog

by MICHAEL FORTE Large-scale live experimentation is a big part of online product development. This means a small and growing product has to use experimentation differently and very carefully. This blog post is about experimentation in this regime. But these are not usually amenable to A/B experimentation.

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Methods of Study Design – Experiments

Data Science 101

Some pitfalls of this type of experimentation include: Suppose an experiment is performed to observe the relationship between the snack habit of a person while watching TV. Bias can cause a huge error in experimentation results so we need to avoid them. Validity: Valid data measures what we actually intend to find out.

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Ready Players Win: Leaders of the Future Enterprise

CIO Business Intelligence

After all, 40% of total revenue for Global 2000 organisations will be generated by digital products, services, and experiences by 2026. Digital businesses are the next step in this evolution; they are staunchly digital-first and are hyper-focused on delivering business value and outcomes through digital innovation.

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Review: Stefanie Posavec’s “Dataviz Drawing Class”

Depict Data Studio

About the Instructor: Stefanie Posavec According to Stefanie’s website , she is “a designer, artist, and author exploring experimental approaches to communicating data and information to all ages and audiences.” But nothing compares to quality online training where your brain is fully immersed in the topic alongside the instructor and peers.

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Ontotext Expands To Help More Enterprises Turn Their Data into Competitive Advantage

Ontotext

Ontotext started in 2000 as an R&D lab, led by now CEO Atanas Kiryakov, becoming one of the pioneers of the Semantic Web. 9 years of research, prototyping and experimentation went into developing enterprise ready Semantic Technology products. The first 18 years: Develop vision and products and deliver to innovation leaders.

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Ontotext 2023: Accelerating Our Growth to Enable Business Success for Enterprises

Ontotext

Ontotext started in 2000 as an R&D lab, led by now CEO Atanas Kiryakov, becoming one of the pioneers of the Semantic Web. 9 years of research, prototyping and experimentation went into developing enterprise ready Semantic Technology products. The first 18 years: Develop vision and products and deliver to innovation leaders.