Taking on a first data project is no easy task - it's not clear where to begin, and of course, there are lots of bumps along the way. Here are some tips and tricks that we learned while embarking...
According to a report by the Semiconductor Industry Association, we will run out of electricity to power computers by 2040 if we don’t radically improve computing efficiency. This is one of the...
If you were going skydiving for the first time, you’d definitely want to go tandem and be attached to an experienced instructor to make sure things go right. And for data projects, while the risk...
Two years ago, we hosted our first Meetup in NYC. Our goal? Community. We’re still at it today, and our data community is growing stronger than ever. But as it grows, we want to know more about...
Artificial intelligence (AI) is a powerful and growing field, but some are still hesitant to employ it, seeing it as a black box. However, if you take a second to step outside the box (see what we...
By now, it’s no secret that Harvard University named Data Scientist the sexiest job of the 21st century. Yet unfortunately, not every company can afford to hire one of these little superheros -...
Data projects are generally organized in one of two ways: top-down (that is, starting with the business question) or bottom-up (starting with the data and working up to insights). But is there a...
As the third largest sporting event, it’s no wonder that the Tour de France (which kicks off July 7th) has engaged in the data revolution. The goal is to offer real-time insights to the estimated...
Last week, Dataiku hosted an EGG-citing day of presentations and panel discussions from industry leaders and experts. The insights they provided tell us a lot about the current state of data...
Make them feel special-- this is key in marketing, business, and dating.
It’s no different in the tech world. Companies want products with more functionality and customizability, and a plugin...
As data-related roles continue to be some of the most in-demand across enterprises worldwide, education for budding data scientists, analysts, engineers, etc., becomes increasingly important.
Data science teams are not that different from other teams within a company. So why do 85 percent of their projects fail?A quick Google search of the question “Why do data science project fail”...
A big problem in machine learning (ML) is data scarcity, but operationalizing ML is an even bigger problem for enterprises (and is often overshadowed by the excitement for big data). Dataiku 4.3...
Data science has created a new capacity for powerful analysis by traders that, so far, few have taken advantage of. While quants have been doing data science for awhile now, traders have been...
We’re now officially halfway to 2019 (or 2018 is half over, if you’re a glass-half-empty type), and this year was supposed to be the one where all kinds of companies made revolutionary strides in...
AI is the sexiest trend in tech, and NLP (Natural Language Processing) is one of its many branches. NLP is the ability of a machine to understand and “speak” (generate) the human language.
Once a data science project has progressed through the stages of data cleaning and preparation, analysis and experimentation, modeling, testing, and evaluation, it reaches a critical point. One...
