Posts Tagged

predictive analytics

Predictive analytics in insurance
FinanceBig DataContributorsFeatured

Big data is one of the most rapidly growing industries in the world and was valued at $169 billion in 2018, with expectations to approach the $300 billion mark by the end of next year. Even with such monetary influence in the world already, the industry is still figuring itself

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Bias predictive analytics
Artificial IntelligenceContributorsFeatured

At first thought, predictive analytics engines seem like an ideal way to remove human bias from decision-making. After all, these models draw conclusions from data, not stereotypes, so they should be objective in theory. While this seems reasonable at first, researchers discovered that predictive analytics could indeed carry human biases

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BI & AnalyticsFeaturedIndustrial Goods & ServicesTechnology & IT

When considering the growth and productivity of organizations in different fields, it doesn’t take too much time to see a pattern on how maintenance strategies are common throughout all consistently thriving operations. Predictive maintenance is amongst the most impactful of strategy plans because it centers itself on forecasting issues before

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BI & AnalyticsCase StudiesFeaturedGamingTech TrendsTechnology & IT

A few years ago, I combined my day job as a data engineer, helping customers engineer data analytics, with my love for  football and set out to beat the bookies. It’s an exciting game to play, and I have learned a lot about the merits of different predictive models that

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BI & Analytics

Simply put, non-subscription churn happens when users or customers, who can end their relationship with your business at any time, leave your website or sales funnel. These types of customers may gradually reduce their purchase frequency over time, or they may all of a sudden never buy again. Companies in nearly

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Big DataMarketing & SalesRetail & Consumer

The creation and consumption of data continues to rapidly grow around the globe with large investment in big data analytics hardware, software, and services. The availability of large data sets is one of the core reasons that Deep Learning, a sub-set of artificial intelligence (AI), has recently emerged as the hottest

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Big DataIndustryTechnology & IT

Researchers have estimated that 25 years ago, around 100GB of data was generated every day. By 1997, we were generating 100GB every hour and by 2002 the same amount of data was generated in a second. We’re on trajectory – by 2018 – to generate 50TB of data every single

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Big DataData ScienceUnderstanding Big Data

Social networks, in one form or another, have existed since people first began to interact. Indeed, put two or more people together and you have the foundation of a social network. It is therefore no surprise that, in today’s Internet-everywhere world, online social networks have become entirely ubiquitous. Within this

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Data ScienceTechnology & IT

Emerging technological breakthroughs enter our consciousness promising a bright future, but more often than not they follow Gartner’s well plotted hype cycle – from the peak of inflated expectation through the trough of disillusionment, before mainstream adoption materialises. Some technologies, however, take on a new meaning after a prolonged maturity

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Data ScienceFinTechRetail & Consumer

The travel industry is no stranger to Data Science disruption – especially air travel. Online flight finders have been snapping up data scientists from other industries in order to make better use of the available data, and airlines have been building and opening APIs. Many services are using this opportunity

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