Agile Development is like Teaching an Elephant to Dance

Blog 17-36 - DRosenberg

Contrary to popular belief, agile is about keeping focused on the job at hand and minimizing the amount of work in process at any given point in time.

How to Succeed with Open Source Software

Blog 17-35 RSkriletz

The key to open source is the community behind each software project. But there are several criteria to consider when selecting open source software.

Three BIG Reasons Why QA Testing is Worth Every Penny Spent on It (and More)

Blog 17-34 Value of QA

If your organization’s testing process (or lack thereof) is not providing all the benefits you require, how do you get there?

Machine Learning in Investment Management

Blog 17-33 - RKoovelimadhom

Machine learning can transform the way investment strategies are administered by all types of managers. Even the most fundamental, non-quantitative managers will be generating ideas from data that originally was sourced and synthesized via ML.

Revenue Management – have you ever sold a used item?

Blog 17-32 - ABhatia

The idea is two-fold: Have a market segmentation strategy (capture consumer surplus) and match price to demand (peak-load pricing).

Software Quality Should be a Shared Responsibility – Not a Hot Potato

Blog 17-31 - LMendiola

Quality assurance should be a mindset that’s entrenched in all phases of a project

Use Agile Methodologies to Profit from the 99% of Your Data that’s Going to Waste

Blog 17-30 -JLang

Making the most of Big Data requires an attitude of openness: open to new ideas, new concepts, and open to exploring ways of using entirely new forms of information.

The World-Changing Potential of Blockchain Technology

Blog 17-29 - HVos

Blockchain is an immutable, unhackable, distributed database of digital assets that is totally transparent and auditable. It is a platform for truth and for trust.

Big Data Analytics Offers Oil & Gas Producers Opportunity to Reduce Cost and Increase Profits

Blog 17-28 - BMorgan

like most industries in this age of Big Data, the O&G industry is generating more data than ever before. Data is flooding in at unprecedented rates, and much of it is going unused