In the rapidly evolving technological landscape, enterprises in the Asia-Pacific (APAC) region are increasingly adopting low-code and generative AI (GenAI) technologies to catalyze application development. An IDC InfoBrief reveals that a significant 68% of APAC firms are leveraging low-code,
With the launch of Palette Edgematic on AWS Marketplace, SiMa.ai aims to enhance low-code development for machine learning (ML) at the edge by providing a platform that allows developers to evaluate and deploy ML models on SiMa.ai MLSoC devices in the cloud. This visual design interface simplifies
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
