As companies expand their use of cloud computing beyond a few dozen applications to build the connective tissue between data centers and endpoints, their attack surface — the cloud edge — has grown.

Forbes contributors publish independent expert analyses and insights. I am an MIT Senior Fellow & Lecturer, 5x-founder & VC investing in AI A decade ago, artificial intelligence was still something we ...

Using edge systems to run elements of generative AI could be game-changing. It requires planning and skill, but this hybrid approach may be the future. Historically, large language models (LLMs) have ...

Data is the backbone of tech innovation. Storing, processing and managing IT resources and data impacts your tech system’s efficiency and expected output. The advent of cloud computing revolutionized ...

Cloud computing and Edge AI are two transformative technologies that play crucial roles in advancing artificial intelligence. Cloud computing provides the computational power and scalability required ...

Edge AI is a form of artificial intelligence that in part runs on local hardware rather than in a central data center or on cloud servers. It’s part of the broader paradigm of edge computing, in which ...

Manufacturers are focusing "why deploy AI here?" to strategically match use cases to cloud, edge or field environments based on specific business needs. Siloed data and cybersecurity concerns remain ...

Ask virtually anyone what's happening in the tech industry right now, and you'll hear the same answer: the AI is coming, the AI is coming. But while that high-level trend is obvious, what's been less ...