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.

5 reasons to attend Data Natives 2017
We have liftoff! Data Natives 2017 is just a couple weeks away, and we have never had this many industry-altering speakers, workshops and networking opportunities. Anyone working in Data Science would be wise to get tickets, especially if the fields of Mobility, Health and Government impact your work (which they do). From

Your Local Utility Could Be the Next Big Tech Company
Airbnb turns homes and apartments into hotel rooms. GE transforms age-old manufacturing and industrial processes with a data-driven industrial internet platform. Innovative companies across the spectrum are developing new technologies to upend one industry after the next, leveraging rich data streams to outperform the old models, capture market share, and

Three Things Data Scientists Can do to help themselves and their organizations
The importance of data science is only going to grow in the coming years. As we see the results of our data-empowered work take form in how we shape our businesses, our products and our own goals, we are beholden to take a reflective gaze at the relationship between our

How to best Leverage the Services of Hadoop Big Data
Image: SAP Cloud Platform Hadoop is a Java-based, open source framework that supports companies in the storage and processing of massive data sets. Currently, many firms still struggle with interpreting Hadoop’s software and are doubtful about whether or not they can depend on it for delivering projects. Even so, it’s

4 Insights on the future of data centers
Our ever-increasing dependence on the Internet to do business, entertain ourselves, communicate with others and shop for supplies has increased our amount of data exponentially. The vast amount of data needed to complete all of our activities requires a growing number of centers to safely store this information. Today, there

DN2017: 4 big trends in 4 major industries where tech disruption is now the norm
Now that business is moving nearly as fast as data does, the tech world is constantly forging new and exciting professional paths in a range of different industries – that is, if we know where to look for them. Timing is everything and disruption is still stronger in some areas

Data-driven Marketing Insights at your Fingertips
Does a swipe mean more than click? Does a hover indicate indecision and a firm push mean certainty? As touchscreens begin to dominate internet interaction, can we learn more from a human gesture than we did from the click of a mouse? And if we can, what are the benefits?

Securing Competitive Advantage with Machine Learning
Business dynamics are evolving with every passing second. There is no doubt that the competition in today’s business world is much more intense than it was a decade ago. Companies are fighting to hold on to any advantages. Digitalization and the introduction of machine learning into day-to-day business processes have

Four Strategic Differentiators of an Enterprise Knowledge Graph
With its unlimited size, an Enterprise Knowledge Graph contains all of an organization’s data — structured, unstructured, internal or external — presented as trillions of interlinked facts made available in any combination, on-demand to approved users. The Enterprise Knowledge Graph enables organizations to take advantage of in-memory computing at cloud-scale

When Data Science Alone Won’t Cut it
I recently read an article (paywall) in the WSJ about Paul Allen’s Vulcan initiative to curb illegal fishing. It’s insightful and sheds light on Big Data techniques to address societal problems. After thinking on the story, it struck me that it could be used as a pedagogical tool to synthesize data science