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23andMe: a case study in the sensitivity of health data
By Pierre-Nicolas Schwab •
The 23andMe company offered DNA tests for recreational purposes. It's in a particularly delicate situation, and its data is in danger of being sold to the highest bidder. In this article, I explain the risks involved and the likely scenarios.
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Backlink scam: DMCA Copyright Infringement Notice
ctrl+cIn this article, I show you that the requests entitled "DMCA Copyright Infringement Notice" received by email are scams. I will explain what motivates scammers to prepare such an elaborate scam.
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SEO is dead, and Google killed it
In this article, I explain why I think SEO is dead. Google's algorithm updates in September 2023 and March 2024 were masking a complete shift in strategy from quality results to commercial alliances. I'll illustrate my point with several real-life examples.
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How to apply the 8 laws of Gestalt to data visualization
In this article, I explain how to use the Gestalt laws to create better data visualization. Each law is illustrated with an example, and I've also listed the best practices and mistakes to avoid for each one.
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LinkedIn remains under-used by marketing managers [Research]
In this research, I examined the LinkedIn activity of 520 marketing managers. These professionals need to make more use of this social network. I've included all the statistics in this research.
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Generative AI detectors: are they reliable? [Full test 2024]
By Pierre-Nicolas Schwab •
In this article, I present the results of a test I conducted on 11 generative AI detectors. A clear winner emerges among the free tools. The results are mixed, if not downright bad, for half of the AI detectors tested.
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Energy-efficient software: a source of competitiveness
Energy efficiency is a concept that also applies to IT. In this article, I develop the idea that choosing a software solution based on its programming language can bring productivity and financial gains.
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Data visualization: 6 bad examples analyzed
In this article, I dissect 6 examples of data visualizations (DataViz) that have more or less serious errors.
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What if Bard (Google) was trained on data from Gmail?
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chatGPT plugins: disruptive to the future of tech
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ChatGPT: 4 sources of risk for inbound marketing
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ChatGPT and Bing won’t replace Google. Here’s why.
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ChatGPT: 1000 texts analyzed and up to 75,3% similarity
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6 algorithms that have triggered disaster
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ETL: Anatella in web version with high performance
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Patek Philippe Nautilus: how have prices changed in 4 years?
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LinkedIn’s algorithm changed again in 2022: what impact?
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57 unpublished Linkedin statistics
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Men – Women: the battle for influence is unequal on LinkedIn
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On LinkedIn, women are 17.3% more viral than men
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On LinkedIn, to create a Buzz, it is better to be a young woman…
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CBD online: French and English, all addicted! [SEO Research]
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ETL: comparison, selection criteria, advice [guide 2022]
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Netflix ratings: tough competition for the most popular movies and series
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Talking to the dead, the future of artificial intelligence?
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We forgive mistakes made by algorithms more easily than by humans
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Cloud Act and GDPR: can we host our data in the Cloud?
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The panda is the most rewarding emoji on LinkedIn
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The most used emojis on LinkedIn [analysis and statistics]
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Which are the most popular hashtags on LinkedIn?
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Tableau tutorial: a radial diagram and a pie chart
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The 11 challenges of data preparation and data wrangling
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Data preparation: how to reduce the processing time by 85%
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Here is the most crucial factor for the virality of your LinkedIn posts
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LinkedIn: engagement statistics by country and language [2021]
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Signs of the Times : an artistic project on algorithmic recommendations