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New Format for The Bar Chart Reference Page

The Data Visualisation Catalogue

User Modeling and User-Adapted Interaction , 16(1), 1–30. Journal of Experimental Psychology: Applied, 4 (2), 119–138. Research Papers. Visual Arrangements of Bar Charts Influence Comparisons in Viewer Takeaways. Koh, E., & Franconeri, S. Neighborhood Perception in Bar Charts. Qu, H., & Sedlmair, M. Setlur, V., & Anand, A.

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Humans and AI: Should We Describe AI as Autonomous?

DataRobot

In this blog post, I will focus on the use of the word autonomous , the dangers of using it with stakeholders, and, in the context of customer experience, the inaccurate perception that all things can be automated, eliminating the need for interactions between employees and customers. The Danger of Describing Your AI as Autonomous.

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eCommerce Brands Use Data Analytics for Conversion Rate Optimization

Smart Data Collective

Not only can such patterns create a greater awareness of user interactions, but they can also provide invaluable data on where improvements can be made. Several organizations and research firms publish e-commerce conversion rate benchmarks based on industry data and trends.

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Experiment design and modeling for long-term studies in ads

The Unofficial Google Data Science Blog

accounting for effects "orthogonal" to the randomization used in experimentation. For example in ads, experiments using cookies (users) as experimental units are not suited to capture the impact of a treatment on advertisers or publishers nor their reaction to it.

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Success Stories: Applications and Benefits of Knowledge Graphs in Financial Services

Ontotext

This shift of both a technical and an outcome mindset allows them to establish a centralized metadata hub for their data assets and effortlessly access information from diverse systems that previously had limited interaction. Experimentation with different technical analysis services becomes possible. Knowledge organization (e.g.,

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Bridging the Gap Between Analytics Expectations and Reality

Sisense

Newly published research shows that companies aren’t getting the most out of their analytics. Some of those hurdles are overcome via dashboards, but they sit in a system several layers removed from anything that many people normally interact with.

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Humans and AI: Data Scientists Are Human Too

DataRobot

There is some recently published research about the ability of data scientists to discover errors. They might sometimes be reticent or ineffective in their interactions with laypersons, such as your business subject matter experts, and rely on assertions of trust instead. Humans and AI Best Practices.