Cloud Computing

Serverless capabilities simplify and streamline enterprises’ ability to develop and deploy cloud applications. In serverless architecture, code is deployed on a server when needed without requiring a technician to allocate or manage the server capacity. Serverless computing helps developers move from developing monolithic applications to lightwei...

This Frost & Sullivan research examines the growing need for artificial intelligence (AI) services to help businesses meet key goals and objectives, as well as the strategic position of public cloud service providers to develop and launch successful AI capabilities for customers. The report discusses the importance of public cloud providers in the ...

According to business respondents to the 2023 Frost & Sullivan Global Cloud User survey, cloud and artificial intelligence (AI) represent the most critical aspects of digital transformation. As such, companies continue to build hybrid, multicloud environments to support strategic business goals, such as revenue growth, rapid response to market dema...

Edge computing pushes intelligence, data processing, analytics, and communication capabilities to where the data originates: at network gateways or endpoints. The aim is to reduce latency and ensure efficient networks, operations, service delivery, and an improved user experience. By bringing computing closer to the data source, edge computing enab...

This research service analyzes the notable developments in the global quantum computing market. Quantum computing is a field of computing that leverages the principles of quantum mechanics to handle information using qubits. Qubits can be in a superposition of states, enabling quantum computers to do calculations at considerably greater speed than ...

In Latin America, businesses increasingly adopt cloud computing, artificial intelligence, and machine learning technologies to support their strategic business growth. Despite a projected slower economic growth in 2024, digital transformation remains robust. Companies seek external partners to assist them in their journey toward full digitization. ...

Serverless computing solutions process and analyze large volumes of data at the edge of customer networks and help meet infrastructure requirements of Internet of Things networks. Serverless computing saves hardware and maintenance costs for customer enterprises and reduces latency. Larger businesses can limit or shrink the size of their server fle...

Private multi-access edge computing (MEC) involves deploying dedicated computing and networking resources on a client's premises. It prioritizes ultra-low latency, data security, and customization, making it ideal for industrial automation, smart factories, and applications demanding real-time control and stringent data privacy. This segment of the...

Edge computing pushes intelligence, data processing, analytics, and communication capabilities to where the data originates: at network gateways or endpoints. The aim is to reduce latency and ensure efficient networks, operations, service delivery, and an improved user experience. By bringing computing closer to the data source, edge computing enab...