This Week in Data
The era of everything-as-a-service (XaaS) has provided both an opportunity and a challenge for companies across industries. The XaaS model, a subscription-based solution that makes cloud-based applications available on demand unlike the traditional license-based platforms of the past, delivers several noteworthy advantages over its predecessors. Between cost reductions and easier
The post WHAT’S THE ROLE OF INFORMATION TECHNOLOGY IN THE XaaS ERA? appeared first on Dataconomy.
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
The post Apple’s privacy play keeps internet regulators at bay appeared first on Dataconomy.
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
The post A Data Scientist’s relationship with building Predictive Models appeared first on Dataconomy.
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
The post Can Big Data Help Provide Affordable Healthcare? appeared first on Dataconomy.
Smart classrooms aren’t too far off, and blockchain technology may become an integral part of schools all over the globe in a few years. But how will this system help administrators and students? Bitcoin is the most well-known virtual currency in the world, at one time reaching a value of
The post How Will Blockchain Transform the Education System? appeared first on Dataconomy.
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
The post Behavioral Science Shapes Data Science and Drives Change appeared first on Dataconomy.
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