Professional sports lend themselves really well to economic calculations – players, coaches, and agents act similarly to the hypothetical, rational decision-makers in economic models. While this data may seem complex or hard to obtain, it’s actually all readily available online – you just need to know where to look, how

BI can help you start making sense of your data, but it still expects you to do the heavy lifting when it comes to finding insights. Building predictive models that can cut down your decision time and offer better insights is a must, but achieving them sounds impossible.  So, why

To guide your company towards success, leaders need a clear idea of what’s around the corner. It’s not enough to analyze what happened in the past. You need to know what the future holds. And that means data science-backed predictive models.  More data science doesn’t always mean more data scientists, though.

Fraud is at a record high – nearly half of all businesses had experienced fraud in the past two years. This excerpt of the Explorium’s guide on enhancing risk models explains how to build them better in three steps. Every few years, whether global, local, or industry-specific, a major event

Being a data scientist is hard. In addition to the combination of advanced mathematics and coding skills required to do the job, it’s a newer role for many organizations, so data scientists are called upon to navigate corporate landscapes, source the right IT resources, and establish new workflows across departments

David Kuntz, Head of Data Science at Degreed, discusses how to find and form a close-knit, full-stack data science team in weeks.  We’ve all heard about data science unicorns – people with an almost mythical set of skills that can bring real clout and power into your organisation. But searching

In the cybersecurity war between organizations and adversaries, we too often convince ourselves that we are pitting “technology versus technology.” But, actually, the battle is about people versus people.  Technology alone cannot hunt, identify, assess and defeat attacks, because it lacks human-supplied authentic intelligence. With this intelligence, people and machines

Choosing a Bootcamp in person or online is a tough decision, most people are looking for a career change that could boost their employment opportunities and salary. At Dataconomy we spoke to Ariadna Cuffi, a student from the Allwomen data science course for a detailed review. Allwomen have courses in

Read on the extract of the guide “6 steps to jumpstart machine learning using the resources you already have” written by Explorium – it explains how senior data professionals can enable data science in their organizations with the resources they have available, how to use cutting-edge technology to make the

We see companies applying AI solutions differently, depending on their growth stage. Here are the challenges they face and the best practices at each stage. A growing number of companies are seeking to apply artificial intelligence (AI) solutions, whether they want to launch disruptive products or innovate the customer experience.