The development of embedded systems has traditionally been a complex and intricate process, often requiring extensive coding and deep technical expertise. However, the advent of no-code and low-code methodologies, which have long been established in enterprise software, is now making its way into
Leveraging deep learning within low-code development platforms is revolutionizing the way intelligent, context-aware applications are built, significantly impacting the future of software development. By making intelligent, context-aware applications more accessible, these platforms are enabling a
Low-code development has revolutionized the tech industry, promising rapid application deployment and democratizing coding for non-developers. As businesses grow and their needs become increasingly specialized, however, questions arise about whether low-code platforms can keep pace or are merely a
Zenity Ltd., a leading company in the field of securing artificial intelligence (AI) and low-code application development, recently secured $38 million in Series B funding. The funding round was led by Third Point Ventures and DTCP, with participation from existing investors like Intel Capital
Pegasystems Inc., a low-code automation software company renowned for its advancements in streamlining business processes, has substantially upgraded its Pega Infinity platform. These recent updates are specifically designed to accelerate the development of generative AI applications. By empowering
The rapid evolution of Software as a Service (SaaS) and low-code/no-code development platforms has significantly changed the landscape of software development. Providing unparalleled speed in prototyping and development, these high-level platforms bring software creation closer to business users
