Author: Victor Polyakov
-
Why Do Most IoT Products Die After Year 2?
Launching an IoT product is surprisingly easy; keeping it alive, scalable, secure, supportable, and profitable for years is where things get interesting. Most IoT products do not die because the original idea was bad. They die because the technology, economics, or organization around that idea cannot survive success. We tried to build a taxonomy of…
Posted on
by
-
Low Coding vs Vibe Coding vs AI-assisted Low Coding
I’m getting rather used to hearing that vibe code will completely deprecate the low/no code approach that is gradually becoming a standard even for mission critical high-load apps. And indeed, if I can take a mic and just explain how my product should work, why delve into anything more complicated than that? However, it turns…
Posted on
by
-
Avoiding the Chaos: How Do IIoT Platforms Constrain AI Agents within Critical Infrastructures
Iotellect has always meant “intellect for IoT”. Only the recent evolution of AI, however, is revealing what that idea may ultimately mean for industrial systems. AI agents are rapidly assuming important roles at both ends of the IoT application lifecycle: engineering applications and autonomously operating live infrastructure. This turning point dramatically changes the role of…
Posted on
by
-
Iotellect on Google Cloud Platform
Many IoT architectures are designed around a cloud provider’s built-in device platform. That pattern exists in several clouds, but not in Google Cloud. Google once offered a managed service called Cloud IoT Core, but the product was discontinued in 2023. Since then, Google has taken a different approach. Instead of providing its own IoT platform…
Posted on
by
-
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
-
IoT Platform Selection Checklist (2026 Edition)
This checklist is relevant for companies planning or developing IoT/IIoT solutions, products and services. It was carefully crafted for companies that are considering their development to be based upon an existing IoT platform. If you’re still choosing between developing “from scratch” and going atop of a platform, we suggest checking our IoT Platforms vs Open…
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