Articles

Developing software applications is a complex activity. You need to build many things that work together: code, UI, project structure, environment configurations, and more.

When society experiences major pressures and must shift toward the unfamiliar--as we are right now to accommodate the risks of COVID-19--processing the big picture can prove to be difficult. 

This post is one part of G2's 2020 digital trends series. Read more about G2’s approach to digital transformation trends in an introduction from Michael Fauscette, G2's chief research officer.

Forget what you may have heard. Machine learning isn’t some new concept or study in its infancy.

Cybersecurity threats are abundant and ever-changing. That’s why threat modeling, diagramming various threats and impacts, is a critical and necessary practice to prepare for whatever threats come your way.

Many people want to design their applications but they can’t due to a lack of coding skills.

What is data modeling? Data modeling is the process of visualizing complex software systems using simple diagrams, including text and symbols, to depict how data will flow within enterprise information systems. It helps illustrate the types of data stored and used within the system, how the data can be organized or grouped, and the relationships among different data types.

In my previous column, we explored the various ways building information modeling (BIM) software has impacted sustainable architecture. Expanding on the theme of sustainability, this month’s column examines a new trend in sustainability software called building energy modeling (BEM).

Account-based marketing (ABM) doesn’t fail because teams don’t understand it.

As companies become more comfortable using chatbots on their websites, even those without in-house developers might want to adopt the trend.