ARTIFICIAL INTELLIGENCE AND IOT – ISM UNIV

What is IoT?

Both artificial intelligence (AI) technologies and internet of things (IoT) infrastructure are collectively called Artificial intelligence of things (IoT). The goal of AIoT is to create more efficient IoT operations, enhance data management and analytics, and improve human-machine.

AI is the simulation of human intelligence processes by machines, especially computer systems, and is typically used in natural language processing, speech recognition, and machine vision.

. A thing in IoT can be a person’s heart monitor implant, an automobile with built-in sensors to alert the driver when tire pressure is low, or any other object that can be assigned an Internet Protocol address and transfer data over a network.

IoT is a system of interrelated computing devices, mechanical and digital machines, or objects with unique identifiers and the ability to transfer data over a network without requiring human-to-human or human-to-computer interaction.

How does it work?

Infrastructure components such as programs and chipsets are embedded into AI and they are all connected using IoT networks. For ensuring all hardware, software, and platform components API is used and can operate and communicate together without effort from the end user.

When operational, IoT devices create and gather data, and then AI analyzes it to provide insights and improve efficiencies and productivity. Insights are gained by AI using processes like data learning.

The data of AIoT can also be processed at the edge, which means the data from IoT devices is processed as close to these devices as possible to minimize the bandwidth needed to move data while avoiding possible delays in data analysis.

Applications

  • Smart cities.
  • Smart retail and Smart home.
  • Enterprise and industrial.
  • Social media and human resources (HR).
  • Autonomous delivery robots and Healthcare

Benefits of AIoT include the following:

  • Increased operational efficiency. AI-integrated IoT devices can analyze data to reveal patterns and insights and adjust system operations to become more efficient.
  • Ability to adjust on the fly.
  • To identify points of failure data can be generated and analyzed, which enables the system to make adjustments as needed.
  • Data analytics is done by AI. For saving money, employees do not have to spend as much time monitoring IoT devices.
  • By optimizing existing processes or introducing new features, the number of devices connected to an IoT system can be increased.

Future of IoT?

The combination of AI, and creates a much smarter system. The main aim of having these systems makes accurate judgments without the need for human intervention. The inclusion of 5G is one of the bigger possible innovations in IoT. 5G is designed to enable faster transfer of large data files in devices, through its higher bandwidth and lower latency. IoT could help solve existing operational problems, such as the expense associated with effective human capital management or the complexity of supply chains and delivery models.

Leave a Comment

Your email address will not be published.

Request a Call Back
close slider
%d bloggers like this: