Business Intelligence & Data Security Articles

BI & AnalyticsBig DataContributorsData ScienceFeatured

If you’re a Data Scientist, you’ve likely spent months earnestly developing and then deploying a single predictive model. The truth is that once your model is built – that’s only half the battle won. A quarter of a Data Scientist’s working life often goes something like this: You met with

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Artificial IntelligenceBI & AnalyticsBig DataContributorsData ScienceFeatured

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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Artificial IntelligenceBI & AnalyticsContributorsFeaturedMachine LearningTechnology & IT

I’ll never forget my “aha” moment with bias in AI. I was working at IBM as the product owner for Watson Visual Recognition. We knew that the API wasn’t the best in class at returning “accurate” tags for images, and we needed to improve it. I was nervous about the

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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 IntelligenceBI & AnalyticsBig DataCase StudiesData NativesFeatured

Last year, we set up a prediction model on crime in London. We had established the model already, grounded in open data, but updated it to make predictions about 2017. We took the data provided by the police in the greater London area, and by enriching this data with Points

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