Welcome to the “A beginners guide to test automation with Javascript(Nightwatch.js)” blog series part 2! If you have missed out on the first part, you can read it here. In this article we will look into the following and as always – feel free to skip to any part you are the most interested in: Code used in this article can be found in Loadero’s public GitHub examples repository here.
Appian is the leader in enterprise low-code automation. We didn’t get there by being complacent, but rather from continuous, industry-leading innovations. With each release, we reinforce our commitment to helping you build apps and workflows rapidly on our low-code automation platform to help you maximize your resources and improve business results.
Appian 21.1 incorporates many highly-requested features that improve usability and productivity including updated low-code RPA and intelligent document processing (IDP) features.
Insurers, reinsurers and intermediaries are under pressure to adapt to new customer expectations. Insurtechs have made omnichannel digital experiences the norm. And COVID-19 has forced the issue further, on top of necessary operational and claims process changes. Digital transformation is no longer a buzzword or something that can fix just one area of an insurance organization.
How was that credit application declined? Why was that person denied parole? How were disability benefits cut for those constituents? And why do computers learning from humans automatically see certain occupational words as masculine and others as feminine? It’s hard to explain how the most advanced algorithms make decisions. But as predictive systems proliferate, there are signs we’ve become more wary of their use in making critical decisions.
In 2020, low-code application development went mainstream. Organizations everywhere prioritized the ability to rapidly adapt, making the Low-Code Application Platform (LCAP) an essential part of the enterprise technology stack. Low-code may be everywhere—but many IT and development teams are failing to reach its full potential. Ironically, they’re running low-code projects with traditional, high-code development practices.
