Business intelligence applications can benefit from low-code automation. With low-code automation, developers can create applications more quickly and efficiently, reducing the need for manual coding. This can help organizations improve their business intelligence capabilities and gain insights into their operations more quickly. Additionally, low-code automation can help reduce costs and improve efficiency, enabling organizations to scale their business intelligence capabilities more easily.
The existing enterprise application portfolio and legacy systems are most mission-critical from both a financial and operational standpoint. In order to truly transform a business into a modern enterprise, and to realize the advantage of newer software platforms, tools, architectures, libraries and frameworks, that is more agile, elastic, and highly available, these legacy applications, features, infrastructure, environment and platform need to be updated and rebuild and go through a new software lifecycle. AI powered intelligent process automation can modernize the architecture and help businesses become more agile and efficient. --
Edge AI Applications
Edge AI combines edge computing with artificial intelligence (AI), by running the AI algorithms on local devices such as IoTs with edge computing capacity, and processing and analyzing user data locally and in real time. By bringing the AI processes to the edge enables users to save time by aggregating data and serving users, without communicating with other physical locations and ensuring security. AI-powered edge applications can help businesses such as healthcare, autonomous vehicles, connected systems / devices etc target and achieve higher productivity, accuracy, and protection. by providing appropriate solution to collect, process, and easily access the data for their end-users.