Data Science
While the field of data science is not tied directly to Big Data, advances in one tends to produce advances in the other. Big Data increases our ability to harvest and process data, while data science allows us to dig into it for insights.

Data Science vs. Data Analytics – Why Does It Matter?
Data Science, Data Analytics, Data Everywhere Jargon can be downright intimidating and seemingly impenetrable to the uninformed. While complicated vernacular is an unfortunate side effect of the similarly complicated world of machines, those involved in computers, data and whole host of other tech-intensive sectors don’t do themselves any favors with

Corporate Self Service Analytics: 4 Questions You Should Ask Yourself Before You Start
Pyramid Analytics and Big Data Expert Ronald van Loon are hosting a free webinar on March 23rd. Register now and find out how to adopt a data-driven approach that will help your organization grow with predictive analytics. This webinar has been tailored to meet the needs of corporations in the DACH

If you care about Big Data, you care about Stream Processing
As the scale of data grows across organizations with terabytes and petabytes coming into systems every day, running ad hoc queries across the entire dataset to generate important metrics and intelligence is no longer feasible. Once the quantum of data crosses a threshold, even simple questions such as what is

The Problem With (Statistical) False Friends
I recently stumbled across a research paper, Using Deep Learning and Google Street View to Estimate the Demographic Makeup of the US, which piqued my interest in derivative uses of data, an ongoing research interest of mine. A variety of deep learning techniques were used to draw conclusions about relationships

Infographic: A Beginner’s Guide to Machine Learning Algorithms
We hear the term “machine learning” a lot these days (usually in the context of predictive analysis and artificial intelligence), but machine learning has actually been a field of its own for several decades. Only recently have we been able to really take advantage of machine learning on a broad

The Definitive Guide to Digital Banking Platforms
Did you doze off and miss the digital banking revolution? If so, here is your indispensable guide to choosing a digital banking platform The innovative nature of the financial services industry calls for constantly introducing new solutions to the market. Nowadays, implementing digital banking platform is a must, and should

Artificial intelligence: here’s what you need to know to understand how machines learn
From Jeopardy winners and Go masters to infamous advertising-related racial profiling, it would seem we have entered an era in which artificial intelligence developments are rapidly accelerating. But a fully sentient being whose electronic “brain” can fully engage in complex cognitive tasks using fair moral judgement remains, for now, beyond

25 Big Data Terms Everyone Should Know
If you are new to the field, Big Data can be intimidating! With the basic concepts under your belt, let’s focus on some key terms to impress your date, your boss, your family, or whoever. On November 25th-26th 2019, we are bringing together a global community of data-driven pioneers to talk

The Power of a Data Value Chain For Your Business
The Value of Data Goes Beyond Any Number A quick look around the 21st century marketplace reveals a simple truth: the value of data has changed. Industries that once stood alone and operated in silos, have become interconnected by sheer necessity – collecting, analyzing, sharing and even selling data. Thus,

The 20 Most Popular Business Intelligence Tools
Given the enormous amount of Business Intelligence software solutions available, narrowing down the right one for your business can be a tedious process. How does a business start implementing this software? One way to start is by looking at systems that are popular among peers, because those products are the