Data Science Articles

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Big Data and AI can help with the growing care provider shortage. Here is how and why. One percent of the global population possesses 40-percent of all the world’s wealth, a persistent issue for which economists and politicians have debated about for some time. Economic inequality is a problem that’s

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BI & AnalyticsBig DataContributorsData ScienceFeaturedMarketing & SalesTech TrendsUnderstanding Big Data

Here is why Data Scientists need to think like a behavioural economist or psychologist when they communicate or story tell their insights. This helps companies to take concrete and bias-free decisions to acquire customers, retain employees and deal with managers within the organization. Picture this scenario: There are two investment

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Data ScienceFeaturedinfographicsMachine LearningNews

Here is what a recent report says about job opportunities for Data Scientists across Europe including salaries and benefits, job motivations, programming languages used, tech skills and what people want most from their work. Glassdoor names “Data Scientist” as the best job in the United States for 2019 and LinkedIn

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Data NativesData ScienceFeaturedMarketing & Sales

When we need to measure marketing campaigns, most of us have cracked online campaign tracking – we have a cookie or a user ID that we can use to clearly track user behaviour through to conversions, and develop robust datasets. But out in the offline world, there are powerful channels

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BI & AnalyticsData ScienceFeaturedInternet of ThingsTechnology & ITTransportation & Logistics

The challenges facing cities in the 21st century are greater than ever. A new focus is required to overcome the emerging social, technological, economic, environmental, and political forces exerting pressure on cities. This new focus must address how to create cities that are sustainable– for citizens, for business and for

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Artificial IntelligenceBig DataData NativesData ScienceEventsFeaturedTech Trends

How do you merge the perspectives of the data scientists, entrepreneurs, investors, student and CTO’s under one roof when it comes to data-driven decisions? How do you bring together the likes of Google and IBM with academics and universities to find answers to the most relevant questions in the world

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