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This edition captures developments related to Generative AI, AI-driven SaaS Platform, FinOps Solution, Edge AI, Deepfake Detection, Smart Travel Management, AI-powered App Testing, Cellular IoT Solution, Industrial IoT Edge Solution, Data Labeling.ITCC TOE’s mission is to investigate emerging wireless communication and computing technology areas in...

17 Aug 2020  |  North America  |  Market Research

5G and Edge Computing—Cloud Workloads Shifting to the Edge, Forecast to 2024

Multi-access Edge Computing (MEC) Deployments to Proliferate as Applications Demand Decentralized Computing

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The term 'Edge Computing' refers to computing that pushes intelligence, data processing, analytics, and communication capabilities down to where the data originates, that is, at network gateways or directly at endpoints. The aim is to reduce latency, ensure highly efficient networks and operations, as well as service delivery and an improved user e...

This edition of the ITCC Technology Opportunity Engine captures developments related to AI Observability, Enterprise AI Data Integration, Geospatial Estimator Platform, Edge AI-Driven IoT Platform, AIIoT & Edge Platform, AI-Optimized Edge Processing, Cloud-Native Infrastructure Management, Blockchain Payment, Quantum-Classical Hybrid Computing Plat...

Strategic imperatives are concepts that companies embrace to overcome internal and external challenges, such as economic disruptions that make it difficult to prepare a company for the future. Frost & Sullivan has identified eight: 1. Innovative Business Models 2. Compression of Value Chains 3. Transformative Megatrends 4. Disruptive Techn...

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, and service delivery, and an improved user experience. By bringing computing closer to the data source, edge computing ...

Frost & Sullivan expects SASE adoption to maintain strong growth momentum during the next 5 years, mainly because of factors including the shift to remote and hybrid work models, rapid adoption of cloud and cloud-delivered services, increasing requirements toward integrating disjointed networking and security solutions, and the rising need to suppo...

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...

Across industries, organizations find themselves in need of transforming their legacy networking and security infrastructure to better support both a hybrid workforce and increased use of cloud-based services. Added to this need is the challenge of achieving optimal operational efficiency due to the discrete networking and security tools in their I...

The escalating compute and power demands of edge AI are exposing the limits of conventional von Neumann architectures. Manufacturers deploying always-on sensing, real-time inference, and autonomous decision-making at the edge are constrained by the energy, latency, and memory-bandwidth ceilings of standard NPUs and MCUs. Traditionally, edge AI work...