AI in IoT: Enhancing the Power of Smart Devices

Last Updated: September, 2023

In the last decade, we have witnessed a transformational shift in industries.
Among different advancements, Artificial Intelligence (AI) and the Internet of Things (IoT) played a significant part in the progress. Individually, both technologies overcame different limitations over time. As they evolve, AI in IoT can present even more value together, as covered in this article.

Integration of AI in IoT systems

Before diving into how AI and IoT can complement each other, Let’s understand the key role of both technologies individually. The Internet of Things, or IoT, is a concept to connect objects, systems, and equipment to the Internet. IoT provides a means to gather data, monitor situations, and control connected devices.

On the other hand, Artificial Intelligence (AI) leverages Machine Learning algorithms to create the next generation of IoT devices that can learn from data, automate actions, and improve functioning over time. AI is often used in many applications to understand patterns, predict outcomes, take advanced actions, understand natural language, and so on.

Integration of IoT and AI could complete smart solutions where data collection, monitoring, and control of IoT is complemented by AI’s Machine Learning, personalization, predictions, and automation abilities.

Examples of AI-powered IoT devices and applications

AI-enabled IoT is a term that describes intelligent IoT devices that blend Artificial Intelligence abilities into them. Here is a list of examples where Artificial Intelligence for IoT can present more value to smart devices:

  • Autonomous vehicles:

Technologies like 5G allow IoT devices to go mobile. Artificial Intelligence in IoT can help build smart devices that can process real-time situations through edge processing. With dash cams, IoT sensors, and computer vision, the autonomous vehicle can become a reality.

  • Smart security solutions:

AI and ML (artificial intelligence and machine learning) can use computer vision to detect a scenario and predict what is happening. Such intent prediction can help AI cameras to alert users/stakeholders through IoT in case of any intrusion or break-ins. AI-enabled IoT can call for immediate assistance from law enforcement, medical assistance, and fire safety accordingly.

  • IIoT, Industrial Automation & manufacturing processes:

Manufacturing efficiency is a dire need for any competitive industry. Industrial IoT can leverage AI to improve manufacturing processes with Machine Learning and data analysis. IoT can connect the entire manufacturing process for traceability, while AI can automate it for quicker turnarounds.

  • Healthcare & medical devices:

Telemedicine can be transformational for accessible and affordable healthcare as patients can be remotely diagnosed and treated with AI and IoT. AI can leverage Machine Learning applications such as facial feature detection, while IoT can connect the patient to the doctor through statistics and alerts. 
Want to learn more about IoT and the Medical field? Read our blog on the topic: How can IoT save lives in the healthcare industry?

  • Predictive maintenance:

Predictive maintenance is among the most popular applications of AI. However, IoT can add more value to predictive maintenance as organizations can watch over a fleet of remote machines and manage their maximum operational efficiency. 

  • Smart city operations:

Smart city applications can use a blend of AI and IoT for different applications where effective use of resources is needed. Smart waste management, smart street lights, traffic control, and many more smart city applications can benefit from the merged application of AI and IoT.

Sounds interesting? Read here about 8 IoT solutions in smart cities

Advantages of AI in IoT

Artificial Intelligence is one of the technologies that can be used unimaginably, and we are yet to reach the bottom of its potential. As such, it can offer numerous benefits to IoT, as listed below:

  • Decision making:
    AI can leverage IoT data for real-time analysis and recommend a set of actions to the users with the best probable outcomes. Backed by statistics, AI can reduce the time for decision-making and allow quick actions on the feet- delivering more productivity.
  • Machine monitoring:
    Smart IoT devices and machines must be more consistent than their predecessor; therefore, AI can ensure that those equipment or devices function as they should. Predictive outcomes and maintenance ensure the maximum throughput from IoT applications.
  • Personalization of devices:
    AI and ML algorithms can enable IoT devices to understand the user through usage patterns and behavior. It can help understand the needs of users in certain situations and automatically adapt to them for a better experience.

Challenges and Concerns of AI in IoT

Among different advantages, there are still a handful of concerns and challenges about the use of IoT and AI. Here is a set of things that we still need to figure out about the use of AI in IoT:

  • Data privacy:

The use of AI and IoT increases the sensitive amount of data in any application. In such cases, extreme data reliance is needed to protect privacy. Protecting against new zero-day cyber attacks is a challenge on its own.

  • Responsible AI:

With AI, there are several doubts and challenges about how to keep AI algorithms objective, unbiased, and accountable. The risk doubles when AI is used in IoT devices, as those devices must adhere to ethical operations.

  • Interoperability: 

Any technological advancement has to be interoperable. However, it is a big challenge to establish such cohesiveness for AI & IoT as both have a versatile range of applications.

The Future of AI in IoT: A Synergistic Evolution

In the ever-evolving landscape of technology, the convergence of Artificial Intelligence (AI) with the Internet of Things (IoT) is a compelling narrative. This union is set to revolutionize our world, promising not just incremental improvements, but a seismic shift in the way we interact with devices, data, and the environment.

In summary, the future of AI in IoT is a journey towards a more intelligent, efficient, and interconnected world. It’s not just a coexistence but a seamless fusion of technologies that promise to reshape industries and enrich our daily lives. Freeeway as a leader in the IoT connectivity field, recognizing and harnessing this synergy will be pivotal in staying ahead of the curve and delivering value to your clients in Vienna and beyond.

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