The short answer is YES. Internet of Things (IOT) is about collecting information from devices and sensors, pushing it Internet which in turn can be consumed by other devices, sensors and Computers. It is essentially about data collection from these 'things' - example temperature data from temperature sensors or Earth's electro-magnetic field reading from the relevant sensors ( which can be in your mobile). Artificial Intelligence (AI) can be applied over this data that can be used to gain intelligence to perform some task and improve over time through AI techniques such as Machine Learning
The short answer is YES. Internet of Things (IOT) is about collecting information from devices and sensors, pushing it Internet which in turn can be consumed by other devices, sensors and Computers. It is essentially about data collection from these 'things' - example temperature data from temperature sensors or Earth's electro-magnetic field reading from the relevant sensors ( which can be in your mobile). Artificial Intelligence (AI) can be applied over this data that can be used to gain intelligence to perform some task and improve over time through AI techniques such as Machine Learning
AS THE INTERNET of Things (IoT) continues its run as one of the most popular technology buzzwords of the year, the discussion has turned from what it is, to how to drive value from it, to the tactical: how to make it work.
In short it is Yes if you apply the definition of the IoT literally. The problem, based on my recent research, is that some practitioners use the IoT term to refer to other computing domains like pervasive computing, ubiquitous computing, or autonomous computing. In fact, some researchers consider IoT as an extension of pervasive computing. So, in this case, you will need to have some sort of intelligence. In pervasive computing, for example, the system needs to sense the context and adapt to the changes, which implies some degrees of intelligence.
But if you want to view the IoT in conjunction with other computing domains, there is a need for high storage analytics (Big Data), to store and analyze the data of the sensors, massive computing resources (Cloud Computing) for reasonable processing, and and orchestration engine to reason about such data.. In other words, the intelligence part could be located beyond the boundaries of IoT.
You may check my research work for more information
Thesis Pervasive Computing Reference Architecture from a Software E...
Yes and No -- Abhiram Modak and Shafagat Mahmudova are both correct! It's all about nomenclature.
Yes: IoT is about data collection. So, if one needs to understand the status of any specific sensor (or a discrete collection of them), it's readily available (may be in a central repository). So, acting on that information doesn't need AI, at best, one could leverage big data analytics to process that information.
No: However, with the vast amounts of data from IoT devices, very quickly it's going to be come 'Garbage-In, Garbage-Out', So, one would need to 'derive' and 'infer' from that vast amount of data collected, while Big Data Analytics can help reduce/distill data, one would need effective mechanisms including AI/ML/DL to decipher the inter-relationship, deduce RCA (Root Cause Analysis) and to act on that inference.
Hence, it's all about nomenclature. IoT @Edge. AI/Big Data @Cloud.
If one defines the boundary of IoT to be at the edge (staying true to it's origin) focused on data collection through various mechanisms, then AI is not necessarily needed. Here again, one could fathom using AI-infused collection, like the way Alexa, Siri or Cortona uses prior knowledge and AI to decipher what's being spoken or even better, use of AI-chips in the IoT devices. Still, this is all about providing an optimized approach to decipher data collection but it's not a mandatory modality for data collection.
As mentioned above, while AI can be used at the Edge to optimize IoT data collection, typically, AI is used to act up on large amounts of data so as to decipher/distill/infer/predict/react to the synopsis of the overall perspective. This level of processing is typically done in the cloud (,albeit, mostly in a distributed, parallel streams).
Finally, IoT and AI is a good blend that go hand-in-hand but one doesn't always need AI for implementing IoT.
Can Internet of Things (IoT) Work Without Artificial Intelligence?
It seems to me that this is an interesting question and it is very good that this question appeared on the research portal Research Gate.
In my opinion, the Internet of Things (IoT) may merge in the future with Artificial Intelligence, but there is still little synergy in these two development areas of the current Industry 4.0 technological revolution. Perhaps in the future, the synergy of these two fields of information technology development will increase. For this to happen it is necessary to continue the current technological revolution known as Industry 4.0.
Does anyone from you conduct research in this area?
Nothing is absolute in life, all are relative. IoT at the "hello world" period may develop without A.I., but on the way, A.I. definitely shall contribute in the development of IoT, and vice-versa, arriving at maturity, IoT shall be totally engaged with A.I.
Yes, I too support Prof. Abhiram Modak . If we want to collect and send various sensors or actuators data to Highly Processed systems (Computers/Mobiles-Apps/Websites) we do not need Artificial Intelligence (AI), we just need some communication protocols and internet. But if we want to analyze and visualize that data collected we can use AI.
I think that IoT without AI is just another extended embedded system. And the real value of IoT is in its adoption of AI and Data Science tools to convert raw data to a value