- The internet of things is powered by 3 emerging technologies – Artificial Intelligence, 5G and Big Data.
- Taken together, Artificial Intelligence and the Internet of Things (AIoT) promise a more connected future.
- The AIoT meltdown is becoming increasingly commonplace, as it continues to change the fundamental ways in which we live our lives and process data.
Increasing technology.
Image: Visual Capitalist
AIoT: When AI encounters an internet of things
The Internet of Things (IoT) is a technology that helps us to replicate everyday life, but artificial intelligence (AI) is the real power behind the full potential of IoT.
From the most fundamental applications of monitoring our fitness levels, to its broad-based capability across industries and urban planning, the growing partnership between AI and the IoT means that a brighter future could happen sooner than we think.
This information with TSMC highlights the advanced technologies and trends that make that transition possible, and how we continue to push the boundaries.
AI + IoT = superpowers of innovation
IoT devices use the Internet to communicate, collect, and exchange information about our online activities. Every day, they generate 1 billion GB of data.
By 2025, 42 billion devices are expected to be connected to IoT worldwide. It is natural that the data swearing will grow as these tool numbers grow. That’s where AI steps in – lending its learning capabilities to the IoT connection.
The IoT is powered by three key emerging technologies:
- Artificial Intelligence (AI)
Roles and programmable systems that enable machines to learn, reason, and process information as human beings.
- 5G Networks
Fifth-generation mobile networks with high-speed latency, near zero for real-time data processing.
- Big Data
A large amount of data processed from a number of internet-connected sources.
The World Economic Forum Center for the Fourth Industrial Revolution, in partnership with the UK government, has developed guidelines for more ethical and efficient government procurement of artificial intelligence (AI) technology. Governments across Europe, Latin America and the Middle East are testing this guideline to improve their AI procurement processes.
Not only is our guidance a useful information tool for governments looking to embrace AI technology, but they also set basic standards for efficient, accountable public procurement and the use of AI – standards that businesses will eventually adopt. over there.
Example of a challenge based procurement process described in the guidance
We invite organizations interested in the future of AI and machine learning to join this initiative. Read more about our impact.
Together, these interconnected devices change the way we interact with our devices at home and at work, creating the AIoT (“Artificial Intelligence of Things”) in the process. .
So where do AI and the IoT end up together?
There are four main areas affected by the AIoT: wearables, smart home, smart city, and smart business:
Accessible devices such as smartwatches monitor and monitor users ’preferences and habits. Not only has this made influential claims to the healthtech sector, it also works well for sport and fitness. According to leading technical research firm Gartner, the global consumer appliance market is estimated to see more than $ 87 billion in revenue by 2023.
Houses that meet every demand are no longer limited to science fiction. Smart homes can accelerate appliances, lighting, electronics and more, learn homeowner habits and develop “automated support. ”
This sewing access will also bring additional benefits of improved energy efficiency. As a result, the smart home market could see a complex annual growth rate (CAGR) of 25% between 2020-2025, to reach $ 246 billion.
As more and more people move from rural to urban areas, cities are becoming safer and more convenient places to live. Smart city innovations are sustaining, with investments heading toward improving public safety, transportation, and energy efficiency.
The practical applications of AI in traffic control are already becoming clear. In New Delhi, where some of the busiest roads in the world are located, an Intelligent Transport Management System (ITMS) is being used to ‘make dynamic real-time decisions on traffic flows’.
Last but not least, industries from manufacturing to mining rely on digital transformation to be more efficient and reduce human error.
From real-time data analytics to supply chain sensors, smart tools help prevent costly errors in business. In fact, Gartner also estimates that more than 80% of IoT enterprise projects will include AI by 2022.
Undeveloped AI & IoT capability
AIoT innovation is only accelerating, and it promises to take us to a more connected future.
Technological innovation is constantly evolving.
Image: Visual Capitalist
The AIoT meltdown is becoming increasingly commonplace, as it continues to push the boundaries of data processing and intelligent learning for years to come.
Just like any company that noticed the internet at the beginning of the century, those who disable the Internet are at risk of being left behind..
—Jared Newman, Technology Analyst