The previous decade has been one of impressive growth and massive profits for financial services providers. As the global economy bounced back from the recession, new
“Only a crisis — actual or perceived — produces real change.” – Milton Friedman The start of 2020 has been one of the most turbulent on
There are some insights that can only come from the data you produce or collect in-house. Historical sales figures, for example. Foot traffic through your store.
Data science websites overflow with tips for organizing and handling your data, improving visibility and gaining insight into your company’s performance. The question is, though: how
I know you’ve heard this a million times, but I’ll say it one more time: nothing lasts forever. Youth is not eternal, your phone gets slower,
After a few months with no side projects on my plate, I was eager to create something new. I’ve made it a routine to try and
Data enrichment is a crucial step in the modeling process that data scientists tend to overlook due to the difficulty in finding and utilizing external sources.
No matter what type of research you’re doing, or what your machine learning (ML) algorithms are tasked with, somewhere along the line, you’ll be using clustering
The AI revolution, as a continuation of the BI revolution, caused companies to acquire, ramp up, centralize, and deepen their data analytics, data science, and data
