Low-code and no-code development platforms allow developers and in some cases non-technical users to produce apps faster and at lower cost than traditional programming. Here’s how to select the right ...

Growth is further driven by the increasing demand for faster digital transformation and the shortage of skilled developers. Low-code platforms empower both technical and non-technical users to design, ...

Low-code and no-code software development tools and platforms, increasingly super-charged with artificial intelligence, are helping to offload IT department workloads. Business end-users are creating ...

Appsmith Inc., a startup competing in the low-code software development market, today announced that it has closed a $41 million funding round led by Insight Partners. The venture capital firm was ...

Tray.ai Inc., the maker of a cloud-based, composable software integration platform, today is embellishing its Merlin Intelligence artificial intelligence development platform with features for ...

As software increasingly impacts our daily lives, a cohort of so-called “citizen developers” is quietly emerging, using simpler low and no code tools to innovate faster for businesses and governments.

During the pandemic, there was a significant uptick in the number of low-code, no-code, and process automation platforms and other business platforms that have these capabilities as features. A recent ...

Microsoft Power Platform and low code/no code development: Getting the most out of Fusion Teams Your email has been sent Microsoft is starting to define a development philosophy for its Power Platform ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Programming is sometimes seen as more of a "dark art" than an engineering discipline.

Low-code dev platforms have gained momentum in recent years, in large part because they promise to shorten what’s otherwise typically a lengthy app development cycle. According to data from analytics ...

Data science teams are stymied by disorganization at their companies, impacting efforts to deploy timely AI and analytics projects. In a recent survey of "data executives" at U.S.-based companies, 44% ...