Everyone talks about agile development, but how does it really work? Learn how teams use scrum, kanban, and other agile methodologies to deliver better software. It’s hard to believe that the agile ...

Six different Agile project management methodologies exist, each of which offers specific project management approaches for software development teams. This cheat sheet summarizes the key principles ...

Agile methodologies constitute a family of approaches that prioritise iterative development, cross-functional collaboration and adaptive planning to deliver software in small, incremental increments.

In modern-day working environments, Agile is becoming an increasingly popular project management methodology used to organize projects. Although it originated in the software development industry, ...

Most organizations today practice some form of agile development, but it wasn't always so. To understand agile's success, it helps to look back to the heyday of the waterfall methodology and the birth ...

Ernie Smith is a former contributor to BizTech, an old-school blogger who specializes in side projects, and a tech history nut who researches vintage operating systems for fun. For business leaders ...

Agile Methodologies are the latest in software development but what advantages and disadvantages do they present from a client and provider perspective? Software development is a complicated process ...

Creative Director of ArtVersion, a Chicago design consultancy. We craft ideal user experiences for the world’s most innovative companies. Molding a project from beginning to end is often best crafted ...

Agile practices have long been used by companies to speed up development and create products more in line with what business line leaders and customers want. At Synchrony Financial, Carol Juel, chief ...

The agile development method is a common approach used to respond to the unpredictable nature of software development. It is a process that involves an incremental, iterative sequences that optimises ...

Companies of all sizes are implementing AI, ML, and cognitive technology projects for a wide range of reasons in a disparate array of industries and customer sectors. Some AI efforts are focused on ...