Current trends in development
Posted: Wed Jan 22, 2025 9:15 am
Leveraging artificial intelligence and data analytics: Cloud platforms offer easier access to powerful machine learning and data analytics tools and algorithms that enable companies to extract valuable insights from large volumes of data.
Edge computing: With the development of the Internet of Things, the need for data processing at the point of collection increases, leading to the development of cloud technologies at the edge of the network (edge computing), which provide data processing at the device level.
Rise of serverless technologies: serverless architectures are becoming increasingly popular due to their lightweight, flexible and scalable nature. This allows companies to create and run applications without having to manage physical servers.
Cloud technologies allow the load to be transferred from the user's device to greece email list a remote server, which reduces the requirements for the mobile gadget's hardware
Artificial intelligence
AI continues to evolve and find its application in various fields, including software development. New tools and frameworks for machine learning and data analysis allow developers to create applications that can make predictions, recognize patterns, and improve user experience.
Edge computing: With the development of the Internet of Things, the need for data processing at the point of collection increases, leading to the development of cloud technologies at the edge of the network (edge computing), which provide data processing at the device level.
Rise of serverless technologies: serverless architectures are becoming increasingly popular due to their lightweight, flexible and scalable nature. This allows companies to create and run applications without having to manage physical servers.
Cloud technologies allow the load to be transferred from the user's device to greece email list a remote server, which reduces the requirements for the mobile gadget's hardware
Artificial intelligence
AI continues to evolve and find its application in various fields, including software development. New tools and frameworks for machine learning and data analysis allow developers to create applications that can make predictions, recognize patterns, and improve user experience.