Category: Articles
-
Are IoT platforms dead in the AI and vibe coding era?
Artificial intelligence is reshaping industrial software faster than we expected. Predictive maintenance, anomaly detection, optimization engines, generative copilots—they are rapidly moving from experimentation to production. The natural question follows: What happens to IoT platforms when intelligence becomes the main value layer? Some market professionals assume AI will sit directly on cloud infrastructure, bypassing traditional IoT
Posted on
by
-
Iotellect on Microsoft Azure
Azure is often chosen not simply as a cloud provider, but as a continuation of corporate IT. Identity, security, data platforms, and governance already exist there, and IoT solutions are expected to fit in naturally rather than live as isolated systems. Running Iotellect on Azure allows IoT applications to become a first-class part of enterprise
Posted on
by
-
Iotellect on Amazon Web Services
AWS provides a powerful and mature cloud foundation. Iotellect builds on top of it to drastically reduce the time, cost, and risk of creating real-world IoT applications. This article explains how Iotellect runs on AWS, what value it adds, and how it integrates with AWS services – without turning AWS into a lock-in. How Iotellect
Posted on
by
-
IoT Platforms vs Open Source: choosing the right way to develop an IoT product
IoT Application Enablement Platforms (AEPs) are no longer a new market. System integrators and engineering companies often consider them when choosing a way to implement a customer-tailored solution for their large enterprise customers. But what if you are a device manufacturer (OEM/ODM) or an independent software vendor (ISV) developing a brand new open market product
Posted on
by