All Blog Posts

Creating a Continuous Delivery Pipeline for a Maven Project

How To Create a Continuous Delivery Pipeline for a Maven Project

We use continuous delivery automation tools and techniques that have become available in the last few years. Here we’ll walk through creation of a Maven-based Java project here and demonstrate incorporating it into our pipeline.

Mind Reading

Mind Reading: Using Artificial Neural Nets to Predict Viewed Image Categories From EEG Readings

Earlier this year, YCombinator-backed startup DeepGram hosted a deep learning hackathon. This post describes the winning project.

How to Grow Your Data Capital

How to Grow Your Data Capital

The ability to generate future potential through operating your current business is the ultimate definition of what it means to be data-driven: when value, and not solely decision-making, is being driven by data.

Ways the C-Suite Can Embrace Failure

Three Ways the C-Suite Can Embrace (Gulp) Failure

You can’t avoid failure, but you can learn to cope and make the most of it.

Five Business Challenges Data Can Solve

In today’s business climate, executives understandably want to see both early results and a long-term direction. A data strategy helps meet business needs, while ordering work in a way that respects constraints and creates future opportunities.

Exploratory data analysis in Python

Exploratory Data Analysis in Python

We summarize the objectives and contents of our PyCon tutorial, and then provide instructions for following along so you can begin developing your own EDA skills.

Chatbots in Banking

This post explains why chatbots are rising in popularity with banks, the opportunities and challenges presented, and how data science fits into the puzzle.

Getting Value Faster with a Data Strategy

In this post, we’ll look at the components that make up a modern data strategy, and how they work to bring you business value quickly

predictive maintenance IoT

Getting Started with Predictive Maintenance Models

In this post, we’ll start to develop an intuition for how to approach the remaining useful life (RUL) estimation problem and take the first steps in modeling RUL.