DEV Community: Chloe Morgan

The Missing Link in the Tech Stack: Why AIoT is the Next Industrial Frontier

Chloe Morgan — Mon, 14 Sep 2026 19:42:54 +0000

For many years, Artificial Intelligence (AI) and Internet of Things (IoT) were two parallel concepts in the tech world. The IoT was concerned with collecting data from sensors, machinery, and wearable devices to create the “nervous system” of the real world. The AI was considered as the digital “brain” processing large volumes of software data to find patterns and make decisions. When the nervous system and the brain are combined, then the concept called AIoT (Artificial Intelligence of Things) appears.
When the IoT integrates the real world and the AI works with software, then the AIoT represents the combination of intelligence and physical operations of the real world.
How AI and IoT Are ConnectedTo get an idea of AIoT, you have to consider the way traditional IoT works. Traditional IoT devices work as simple data aggregators. They collect temperature information, record location information or machine usage time, and send it to the central cloud server.The issue is that unprocessed data is just noise that requires additional processing that is resource-intensive and takes time.AIoT solves the issue by adding AI functionality to the IoT process and allowing real-time data processing right on the spot.[IoT: The Nervous System] ---> Collects Real-World Data
│
▼
[AI: The Brain] ---> Analyzes & Learns
│
▼
[AIoT: The Smart Entity] ---> Performs High-Impact Physical Action

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From Theory to the Factory Floor: Real-World Use Cases**
From the Paper to the Production Line: Practical Implementation. AIoT is not just an abstract concept or a far-fetched buzz term; rather, it is creating tremendous value in various sectors like manufacturing, logistics, and supply chains. Tracking and Monitoring: Going above and beyond simple GPS tracking towards more sophisticated ways of tracking, monitoring, and managing important physical assets. Predictive Maintenance: Rather than letting factory machinery break down, the AIoT sensor engine assesses vibrations and temperature changes to schedule maintenance before breakdowns occur.Industrial Workforce Safety: Intelligent IoT sensors, combined with AI computer vision, track industrial settings and prevent workplace accidents.
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Building the Future of Physical AI

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Creating the Next Era of Physical AIThe next era of venture-value generation won't be achieved by simply creating another SaaS dashboard; it'll be achieved through a deep level of hardware/software integration with impact in the physical realm.If you're an entrepreneur, investor, or engineer wanting to make the leap from software-only to physically impactful deployments, you need a partner who understands this intersection.This is where Aperture Venture Studio comes in. Born out of decades of experience in deep IoT infrastructure, Aperture is a venture studio focused on the creation and scale-up of AIoT-native businesses. Combining robust physical infrastructure and AI layers allows them to meet true industrial needs right now.The digital age transformed software. The AIoT age is about to transform everything else.

RFID vs. Barcode: Choosing the Right Technology for Inventory Tracking

Chloe Morgan — Thu, 10 Sep 2026 21:19:55 +0000

Tracking physical inventory appears to be easy until you have hundreds or even thousands of pieces being transferred across various facilities.
The two popular solutions to tracking your physical inventory include barcodes and RFID (Radio Frequency Identification), which differ from each other in several aspects and have distinct advantages.

How Barcode Works
A barcode contains information in a visual form that can be decoded by either a scanner or a mobile device.
For instance, an employee in a warehouse can scan a barcode placed on a piece of equipment whenever it arrives or gets transferred to another location.
Barcodes are great for the following reasons:
They are easy to use
Cost effective
Can be replaced easily
Supported by most inventory systems
The drawback is that scanning a traditional barcode usually requires the device to see it, and each item should be scanned separately.

How RFID Works
RFID operates using radio waves to send signals from the RFID tag to the reader.
An RFID tag may be applied to an asset or an inventory product. Unlike a standard barcode, it doesn't have to be in view of the reader.
It may be convenient for places where identification of many assets needs to be done in a quick manner.
As an example, instead of having each item scanned manually in a warehouse, multiple items can be detected by an RFID reader within the read range.

*RFID vs. Barcode
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However, this is not the case of which system is simply better.
Barcodes may be appropriate for small inventory operations and low-cost requirements.
RFID, on the other hand, may be preferable for bigger inventories where there is a requirement for rapid identification and automation of data collection.
A business that works with several hundred items could be very happy with barcodes. A warehouse dealing with thousands of products that need to be transported around may find RFID more useful.
Where RFID Can Make a Difference
RFID systems can prove helpful in such instances:
Speeding up inventory checks
Minimizing manual input of information
Identifying physical assets
Conducting inventory reconciliation
Tracking equipment
Providing visibility into physical assets
Moreover, RFID technology can be used together with other solutions. For instance, GPS technology will deliver data outdoors while BLE will come in handy when tracking indoors or at close distance. There will be additional information from IoT sensors related to temperature, motion, vibration, etc.

Bigger Context
The key point is to select a tracking technology depending on the actual needs of the environment.
An ordinary barcode technology may be enough for simple inventory management. For bigger and more sophisticated operations, RFID technology and its combination with other technologies like GPS, BLE, and IoT can prove a good solution.
The main objective isn't just to label an asset. It is to get useful data about that asset easily.
For more info, explore assettrackpro .com

What Is AIoT? Understanding the Connection Between AI and IoT”

Chloe Morgan — Thu, 10 Sep 2026 20:33:47 +0000

The Internet of Things (IoT) is an interconnection of physical objects with digital systems, which enables data collection and transfer between those objects.
Artificial Intelligence (AI) is capable of analyzing this data, detecting patterns, and delivering useful insights based on this analysis.
When these two technologies are combined, the concept of AIoT (Artificial Intelligence of Things) emerges.
One of the simple models of the AIoT workflow would be as follows:

Physical Device
↓
IoT Sensors
↓
Data Collection
↓
AI Analysis
↓
Useful Insights
For instance, sensors installed in industrial machines can collect various data about these machines including their temperature, vibrations, pressure, or working condition. AI can perform the analysis of such data and identify some abnormal patterns.
Hence, the potential applications of AIoT may include the following:
Predictive maintenance
Asset tracking
Industrial monitoring
Workplace safety
Inventory management
Process optimization
The concept is simple: IoT connects the physical objects, whereas AI analyzes the data collected by those objects.
for more info explore apertureventure .com