The business world of the future is changing. IoT (Internet of Things) pushes technology into new realms that will help capture a tremendous amount of data.
Businesses globally leverage IoT technologies across various industries, especially on the industrial spectrum, to augment their operations, drive efficiencies, enhance their products, or create new offerings.
Several trends are gaining momentum, from data-intense experiences used in self-driving cars to smart homes and smart cities, connected health, remote monitoring and remote working.
Businesses can collect data from all sorts of connected devices. However, it becomes challenging to collect, process, and analyze with so much data flowing in.
The fruitful future of IoT devices will require a significant technological investment in the emerging field of AI and IoT integration. The convergence of AI and IoT can create intelligent machines that make decisions without human interference. Devices powered by Artificial Intelligence and advanced IoT will provide businesses with the opportunity to redefine how industries and economies work.
The difference between AI, ML and DL.
Artificial Intelligence (AI) is a technological umbrella, the ecosystem working to make machines more intelligent.
Machine Learning (ML) is an area of AI that self learns based on the algorithms fed, turning the system and machines it interfaces with smarter over time without any human intervention.
Deep Learning (DL) is an area of ML, making the computation of large data sets and multilayer neural networks possible. It learns from examples, filtering and classifying the data inputs.
(For those who want to dive deeper into these topics, a simple google search will return hundreds of in-depth articles for your perusal)
AI in IoT will soon be worth billions in terms of the value to the IoT ecosystem.
The Internet of Things is an interconnected ecosystem of devices that send and receive information over a network or the cloud. Artificial Intelligence enables automation and augmentation of these devices with no human intervention.
IoT devices generate immense amounts of data, gathering information about the user, the connected applications and environmental inputs, to name a few.
AI looks at all the data and tells you what to do with it.
Why it matters
It saves the business money and time and can prevent unplanned downtime and potential catastrophes before they happen, thus increasing safety in the process.
It can provide information on user preference, behaviours and other details which can help drive a better customer experience and retention.
Through real-time monitoring, AI-enabled IoT devices can help to curb cyber threats.
I am only capturing a handful of what the marriage of IoT and AI (AIoT as it's known in the industry) can produce when working together to make human lives and businesses more manageable and efficient.
When combined, AI and IoT are two powerful technologies that can help everyday people, specialists, and the environment. AI teaches IoT devices to learn from their data and experience.
Conclusion
Technology is evolving rapidly, and IoT devices are at the forefront of the transformation. To get the best use of these devices, industries and businesses must invest in new technologies.
The convergence of Artificial Intelligence and IoT can redefine how we function. AI-enabled IoT creates intelligent machines that can make decisions without human interference, and it empowers us with the ability to simulate smart behaviour.
Nassia Skoulikariti
Founder/CEO Apiro Data Ltd
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