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Data Science Terminology: 26 Key Concepts Everyone Should Understand (Part I)

Data science is the theory and practice powering the data-driven transformations we are seeing across industry and society today. Artificial intelligence (AI), self-driving cars, and predictive analytics are just a few of the breakthroughs that have been made thanks to our ever-growing ability to collect and analyze data. Just as with big data (see my terminology pieces here: Part I,

3 Kinds of Big Data Skills All Businesses Should Hire For

When businesses go about things right, big data is an extremely valuable tool that can provide specific types of analytics that help those companies find or maintain success. However, without employees on staff who know how to interpret the data and apply it to a company’s everyday operations and future plans, even the most powerful big data resources are largely

Big Data Terminology: 16 Key Concepts Everyone Should Understand (Part I)

These definitions are for anyone who wants to know more about Big Data and of which they should have a general understanding. As-a-Service Infrastructure Data-as-a-service, software-as-a-service, platform-as-a-service, these all refer to the idea that rather than selling data, licences to use data, or platforms for running Big Data technology, it can be provided “as-a-service,” rather than as a distinct product.

Big Data in Sports: Going for the Gold

In the 2015 movie “Concussion” starring Will Smith, the protagonist, a forensic pathologist, investigates multiple cases of severe mental disorders among former football players to arrive at the conclusion that they were all caused by the athletes’ sport careers in the first turn, but also – and to a very considerable extent – by inefficient safety measures taken by the

Should You Use Python or R for Your Programming Language?

When it comes to choosing a programming language, there really are only two choices if you’re working with data. For data science, machine learning, statistics, IoT technology and even automation, the two best languages to use are Python and R. Narrowing down the focus to those two languages is easy, but unfortunately, choosing between them is not so simple. It

Machine Learning Tools You Should Know About

rtificial intelligence, big data, and hybrid cloud computing have made a significant impact on the business industry. Joining this list is machine learning. This new advancement in business technology provides machines with the ability to learn data and store information without being specifically programed to do so. Machine learning tends to focus on developing computer programs that are able to

2017 is the Year IIoT Becomes Normal

When the Internet of Things burst on the scene, it allowed consumers to monitor an infinite number of objects, from thermostats and household appliances to security systems and smart cars. But as IoT applications expand, its industrial counterpart—the Industrial Internet of Things (IIoT)—is forcing facilities and industrials to sit up and take notice. The influx of inexpensive computing power, big

How Predictive Analytics is Changing the Retail Industry

Ideally, a retailer’s customer data reflects the company’s success in reaching and nurturing its customers. Retailers built reports summarizing customer behavior using metrics such as conversion rate, average order value, recency of purchase and total amount spent in recent transactions. These measurements provided general insight into the behavioral tendencies of customers. However, reports summarizing average behavior don’t provide the useful