Artificial Intelligence of Things: The Future of IoT Operations

By: B.B. Gupta

Experts in the field of IoT are predicting that soon there will be a significant demand for organizations to have AI-powered platforms to handle IoT networks. The IoT (Internet of Things) is rapidly expanding and the number of devices we will be interacting with on a daily basis is tremendous. With that, comes many logistical challenges to manage and optimize for efficiency. The future of IoT Operations will include algorithms and Artificial Intelligence to automate and optimize processes and systems, as well as provide critical insights to improve performance and decision-making.

What is the Artificial Intelligence of Things?

Artificial intelligence is a term used to describe a range of computational tasks that includes any intelligent agent [1]. It is the ability of a program to simulate human intelligence in various areas. Many organizations are incorporating AI into their business operations, and the results have been overwhelmingly positive [2]. The Artificial Intelligence of Things is taking this concept to the next level by embedding intelligence into physical objects and devices.

Artificial Intelligence of Things
Figure 1: Artificial Intelligence of Things

How does Artificial Intelligence of Things work in practice?

Artificial Intelligence of Things uses artificial intelligence to process the data from sensors and send it to the application layer for decision making. Artificial Intelligence of Things needs a deep insight into both the IoT technologies and the organization’s business processes. Also, Artificial Intelligence of Things requires a basic level of expertise in both programming and domain knowledge.

How does Artificail Intelligence of Things to connect machines?

The artificial intelligence of things is about linking intelligent machines with other machines in order to share knowledge and learn from each other. This technology is currently being co-developed by Amazon, Google, Microsoft, and IBM. Amazon calls it “Alexa Web Services for IoT” while IBM has developed Watson IoT platform. These are just two examples of the many products that have been developed so far.

Artificail Intelligence drawing

One of the most powerful AI applications is computer vision which is being used to scan images and identify objects. For example, this technology can be used in self-driving cars to identify pedestrians, cyclists, or lanes on a road. These cars are also able to detect traffic lights and other signs that are relevant for driving. It also makes it easier to use voice commands instead of typing for tasks like setting appointments, taking notes, or navigating menus. Another application of AI is the use of machine learning to build better systems. This allows applications to learn from past data which results in a better system. This then leads to more accurate predictions and more efficient systems. For example, Google Translate is able to understand questions in one language and translate

Jarvis Artificail Intelligence

Jarvis AI is an artificial intelligence (AI) system for managing the IoT [3]. The company believes in the power of IoT and believes that by automating many tasks, they can improve productivity in all organizations. Jarvis AI is built on top of Yalantis’s Jarvis platform.

The bot can understand free text and thus has to Jarvis AI provides an operational dashboard for IoT which can be used by business owners to monitor and control various aspects of their company. It allows the user to create the perfect schedule that will automatically send out alerts when necessary. Jarvis AI also provides support for voice applications, text analytics, sentiment analysis, and natural language processing.

 Jarvis AI is an easy-to-use and powerful solution for writing and implementing your AI strategy. Jarvis AI provides a powerful visual workflow interface that can be customized to fit the needs of any organization. The process of building out AI solutions is usually long and tedious, but with Jarvis AI you can automate this entire process by using the latest in machine learning technology. The Jarvis AI platform has been specifically designed to work seamlessly with all other Google Cloud services such as Google Compute Engine, Google Cloud Dataflow, and BigQuery to offer fully integrated data analytics.

Olive Artificail Intelligence

Artificial intelligence is being integrated into everything, including IoT operations. The benefits are many. For example, it will reduce costs for companies by automating processes and reduce operational risk by reducing the need for human intervention. It will also help to innovate quickly with less time-consuming tasks. The olive AI platform is a suite of machine learning modules that allow you to create your own apps to automate the world around you. The platform is compatible with all major operating systems. 

Artificail Intelligence suite 3

AI suite 3 is a new application that offers a single dashboard for all of your AI needs. With this new app, you can choose from a selection of predefined planners and agents to suit the task at hand. Agents are trained to identify patterns or anomalies in sensor data, do anomaly detection, or manage IoT devices. ai suite 3 is a data-driven IoT automation platform that enables enterprises to complete their digital transformation and experience new business opportunities. It has 12+ years of experience managing billions of devices for our customers in the financial, telecommunications, government, logistics, and other industries.


Connecting all of these devices will make our lives easier. The energy, transportation, and retail industries are just a few that could be transformed in the next few years. It is not science fiction anymore – it is happening today. The idea of “The Internet of Things” is nothing new. But with the increased availability and accessibility of AI, we’re now able to see this concept come to life in ways that were not possible before. The advances in AI for IoT will allow businesses to save time and money by having more efficient operations, with less risk and easier processes.


  1. Sanzogni, L., Guzman, G., Busch, P.: Artificial intelligence and knowledge management: questioning the tacit dimension. Prometheus 35(1), 37–56 (2017).
  2. U. Yadav (2021), AI techniques in Information Management, Insights2Techinfo, pp. 1
  3. Ruchi Bhatnagar and Deepak Sinha (2021) Smart Adoption of IoT in Covid 19 Pandemic paves new era of sustainable future world, Insights2Techinfo, pp.1
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