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Cloud-based IoT Ecosystems fuel the AI Economy
Authors
Doug Simmons – Principal Consulting Analyst
Gary Rowe – CEO, Principal Consulting Analyst
Abstract
Critical to the success of any Artificial Intelligence (AI) program is the systematic collection of the vast quantities of data required to train AI models. Next-generation AI will be fueled by the data created by the expansive universe of connected Internet of Things (IoT) devices. Scaling IoT requires a well-orchestrated ecosystem and this starts with the cloud vendors and cloud-based IoT hubs to assist in this process.
A world that maps physical devices and services to individuals and enterprises has often been a missing link in maximizing the value of the modern Digital Enterprise. IoT ecosystems are tasked to better govern, manage, secure, and integrate IoT devices and IoT-generated data to support a diverse set of use cases.
The foundation for this emerging and pervasive IoT ecosystem requires scalable methods for determining how devices and data generated by these devices are identified, secured and accessed. These ecosystems are generally very large and include registration, connectivity, and IAM-centric services including zero-trust principles such as device authentication, authorization, data security and more.
In this light, we’ll describe and evaluate two primary cloud infrastructure providers – Amazon and Microsoft and their respective IoT management platforms. We’ll then conclude this review with pragmatic recommendations and an enterprise action plan for building an effective and manageable IoT program.
