Category: Data Science

February 18, 2020

The idea that cloud computing is green really depends on whom you’re talking to. Some say data center growth is driven by those evil cloud providers. They build huge, ugly structures that consume more power and water than a small […]

January 21, 2020

Big data has become big business in healthcare. The public freaked out in November 2019 at the Wall Street Journal’s revelations that Google was taking in non-anonymous healthcare information from hospital network Ascension. Now, a new report from the Journal […]

January 2, 2020

Enterprises are placing their highest hopes on ML (machine learning). However ML, which sits at the heart of AI (artificial intelligence), is also starting to unnerve many enterprise legal and security professionals. One of the biggest concerns around AI is […]

October 24, 2019

Applications are permeating the online economy. However, it’s not entirely clear whether their deployment is moving in a mainly centripetal or centrifugal direction—that is, whether they are gravitating to the cloud center or moving outward to the edge. Applications—in the […]

October 3, 2019

Working with large volumes of data is a lot like developing software. Both require a good understanding of what end-users need, knowledge of how to implement solutions, and agile practices to iterate and improve the results. Software development and data […]

August 12, 2019

Who can forget when the unpredictable happened and Leicester City won the Premier League in 2016? Thanks are due, in part, to data and analytics. When it comes to data-driven insights in football, the club is one of the most […]

March 13, 2019

The problem with data, whether it’s a report, an email, a spreadsheet or any other file type, is that internal personnel have to deal with it, typically through the uses of multiple applications in different locations with no real control. […]

February 28, 2019

Testing applications is a maturing discipline with tools that help quality assurance teams develop and automate functional tests, run load and performance tests, perform static code analysis, wrap APIs with unit tests, and validate applications against known security issues. Teams […]

February 12, 2019

One of the big issues facing anyone building a data-driven devops practice is, quite simply, the scale of the data you’re collecting. Logs from millions of users quickly add up, and the same is true of the internet of things […]

December 13, 2018

Broadly speaking, companies today fall into one of three levels of maturity when it comes to their data infrastructure: Primitive, standard, and high-performance. A primitive infrastructure has little or no dedicated management of the data, is mostly built on excel […]