Business Intelligence & Data Security Articles

BI & AnalyticsFeaturedHealthcareMachine LearningTechnology & IT

Patient privacy and safety have always been cornerstones of the U.S. healthcare system. But in today’s digital era, there are apps tracking the most sensitive information such as the female menstrual cycle and fertility window. The collection of this data might be valuable for the future of healthcare – the

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BI & AnalyticsContributorsFeaturedTech TrendsTechnology & IT

In 2018, the GDPR changed how tech companies handle data privacy. In 2019, it’s influencing the public’s perception of internet privacy and changing how tech companies treat violations—and one another. Last month, I wrote about the state of internet privacy in the context of the GDPR and other regulations that

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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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