Kim Deen
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Kim Deen

Kim Deen is a tech correspondent and author at Data Natives, Europe’s largest data science conference.

Artificial IntelligenceBig DataData ScienceFeaturedHealthcareMachine LearningStartupsTech Trends

Five experts went live with educational sessions at our community site DN Club and told us about technology in times of coronavirus. Where are we heading in the crisis and how can the tech community contribute to finding solutions? Even though we are moving towards difficult times, there might be

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Artificial IntelligenceBig DataData ScienceData Science 101EducationFeatured

On March 18th at 6 PM CET, Elena Poughia, Data Natives’ CEO and curator shared her tips on how advance in your data science career during a live Ask Me Anything Session available via DN Club. Here is the recap of the AMA session with selected Q&As. In January we

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Data ScienceFeaturedHealthcare

On March 19th at 6PM CET, we are going live with an educational session on “How can Data Science help in the times of a pandemic”. In particular, how can data science help manage facts vs fiction in the current situation? Will the public listen to scientific advice and implement

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Artificial IntelligenceBI & AnalyticsData NativesData ScienceFeatured

An aspiration to create a data-driven future has resulted in massive data lakes, where even the most experienced data scientists can drown in. Today, it’s all about what you do with that data that determines your success. And IBM has the recipe for this. Read on.  “Without data, you simply can’t

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Data NativesFeaturedMachine LearningStartupsTech Trends

Vice-President of XING’s Data Science team, Dr. Sébastien Foucaud, believes the time of blackbox AI is behind us. The market leader in the DACH region has a vision for its Machine Learning: it should be explainable to the boss, as well as to users.  Focussing on German-speaking countries since 2012,

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Artificial IntelligenceData NativesData Science 101EducationEventsFeaturedInterviewsMachine LearningTech TrendsTechnology & IT

AI has been facing a PR problem. Too often AI has introduced itself as a misogynist, racist and sinister robot. Remember the Microsoft Twitter chatbot named Tay, who was learning to mimic online conversations, but then started to blur out the most offensive tweets? Think of tech companies creating elaborate

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