Edge Computing
Edge computing is a distributed computing paradigm that processes data closer to its source rather than relying on centralized cloud data centers. In the context of Infrastructure as a Service (IaaS) providers, edge computing enhances performance by reducing latency, optimizing bandwidth usage, and enabling real-time processing for critical applications. It is particularly beneficial for IoT devices, AI-driven analytics, and industries requiring low-latency responses, such as healthcare, manufacturing, and autonomous systems. By decentralizing computing resources, edge computing improves operational efficiency, enhances security, and ensures business continuity, making it a key component of modern cloud infrastructure solutions.
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Rajat Gupta is the founder of Spotsaas, where he reviews and compares software tools that help businesses work smarter. Over the past two years, he has analyzed thousands of products across CRM, HR, AI, and finance — combining real-world research with a strong foundation in commerce and the CFA program. He's especially curious about AI, automation, and the future of work tech. Outside of SpotSaaS, you'll find him on a badminton court or tracking the stock market.
Disclaimer: This research has been collated from a variety of authoritative sources. We welcome your feedback at [email protected].
