AI and Internet of Things: Why Are They Inseparable from Each Other
The links between AI and IoT are very similar to the brain and the human body. Through our five senses of sight, taste, touch, hearing and smell, we collect information about our environment that are interpreted by the brain. For example, if we touch a hot object, then we instantly remove our hand from the heat source. All the connected devices that make up the Internet of Things function like our body, they send signals about what's happening in the world. Understanding this data, artificial intelligence determines what actions to perform — and therein lies the similarity with the human brain.
Thus, these two technologies successfully complement each other and will merge into one inseparable concept in the future. The main reason for this is that the Internet of Things is able to provide the AI with an array of data for training. Let's look at a practical example:
Of course, you can set the alarm yourself, but the AI can do it for you – calculating the exact time of waking up understanding the biorhythms of your body.
The Internet of Things connects all your devices within a network, allowing you to manage them wherever you are. AI in the future help you manage your “duties” through automation. For example, AI will be able to predict the time you want a coffee and begin to make you a coffee using the coffee machine.
Statistics and Facts
- According to research, the volume of the Internet of Things market in 2019 is $1,710 billion. The market is constantly growing and by 2022 it could reach $561.04 billion. This will affect the corporate sector, where the Internet of Things is used most actively.
- As for artificial intelligence in 2016, the market volume was $641.9 million. Then according to the forecast of the Grand View Research analytical agency, by 2025 this figure could increase to $35.87 billion.
- Gartner specialists believe that in 2021, more than 1 million new IoT devices will be sold every hour in the world.
AI and the Internet of Things For Business: Is Disappointment Possible?
Now let's get to the main issue. Since businesses are the main consumers of these two innovations, what is the likelihood that a business will become disillusioned with IoT or AI and financing of this sector will decrease or even reduced to zero?
All investors have concerns about the riskiness of their investments, but the likelihood of business frustration in IoT and AI in the foreseeable future is extremely small.
As it is now impossible to imagine the work of organisations without an Internet connection, in the near future business cannot be competitive without implementing IoT solutions. The growth in IoT and AI technologies has already caused a surge in demand for specialists, and we’re noticing a strong shortage of personnel in this direction.
At the same time, there are more and more successful cases of applying IoT technologies in the production cycle, where they successfully help to maintain production continuity, increase labour safety and track fuel economy.
What Can Be Told About Security When IoT and AI Are Interacting?
Like any new technology, the Internet of Things has its own vulnerabilities. An important security issue is that the intelligent part of IoT devices exist in unique operating systems, which means there can be countless loopholes in control systems. Many manufacturers of such devices often do not protect them properly and do not update them to close vulnerabilities.
The Internet is necessary for solving different tasks, so their physical implementation and the interaction logic in the network are very different for various types of devices. For example, a pacemaker is implanted in the human body and must respond immediately when needed. There are currently no security measures or strict regulatory requirements and by using such an "intelligent" device, the person is responsible for his own health.
In general, the Internet of Things and technology based on artificial intelligence have moved from the category of theory and experiments to the practical field, and in the near future, we will continue to reveal their potential. At the same time, it is necessary to remember the following points:
1. New technologies can both have positive and negative (and sometimes dangerous) consequences. Therefore, their implementation must be approached rationally, taking into account possible risks and consequences. Ultimately, we will have to answer the following questions:
– Will the expectations associated with the potential of these technologies be met?
– What ethical problems will arise from the independent decisions of the machines?
– How to protect against the use of these technologies for illegal purposes?
2. The development and distribution of new technologies imply the need for new high-quality software. The current market is experiencing a shortage of experienced specialists and therefore, practical issues of development, competent team equipment in the implementation of such projects will come to the fore.
3. Today, IoT devices are a hacker’s dream. It’s everywhere, it’s largely unsecured and it’s providing easy access points to conduct malicious activity and access sensitive information, such as medical records, addresses and credit card details. We must take a proactive approach to secure IoT or risk becoming an easy target.
In any case, the relationship between the Internet of things and artificial intelligence will be strengthened. The most important is the search for answers to new ethical questions and technological challenges.