Ever since the technology was introduced to mankind, it has evolved and come a long way. Right from telephones to cars, computers to laptops, and industrial machines to artificial intelligence the progress is evident and the future has a large scope. If you have been following the technological advancements then you might have recently heard terms like artificial intelligence or AI, machine learning, Internet of Things or IoT and much more. These terminologies have become the norm and are the latest trends in the field of technology.
AI, machine learning and IoT are some of the applications that can be seen used by various tech companies. Before you start implementing these applications in your company, let us familiarize ourselves with the concept of AI and IoT and which one is better for your business. The following article will provide all the information you need to be well versed in AI and IoT.
What is AI?
Artificial intelligence is defined as a technology that is used for stimulating intelligence in machines. It can imitate the cognitive functions of a human being and has the potential to respond to a movement in a way that it can deliver its goal while constantly striving to enhance its performance.
AI is a form of machine learning that thoroughly examines the pattern and trends and derives results effectively. It is useful for real-time and post-event processing and adaptive, prescriptive, and predictive analytics. Companies nowadays are able to implement AI processes with greater processing power and longer battery life.
Why Should You Consider Using AI?
AI adds intelligence and brings accuracy in the business. It can help analyze and handle a large quantity of data. Artificial intelligence is a perfect substitute for repetitive and laborious tasks in the business. It reduces errors and improves efficiency. It can even help businesses make a more well-researched and accurate decision based on computations and data analysis.
What is IoT?
IoT or Internet of Things is an ecosystem of connected devices in a wireless way and are accessible via the internet. These connected devices have sensors and inbuilt embedded systems that are able to send a message to the other interconnected devices. Thanks to the use of effective intelligent systems communication between these devices can be easily established. IoT like AI has a tremendous scope and can be seen in our day-to-day life in the form of smart homes, cities, and vehicles, and wearable devices.
The Cons of AI
While you must have been attracted to AI like many others. And, reading the above benefits might have even considered you to go for AI it is important to know that AI too, has certain disadvantages. It is costly to use and even comes with problems of expensive storage. You might end up increasing unemployment by eliminating the need for dependency on humans. AI can also be very addictive and may end up increasing your dependency on machines.
Why Should You Consider Using IoT?
IoT like AI has made our life simpler and offers many benefits. It can analyze and inform when a device needs assistance. It can predict the behavior of your device. It gives a feeling of device that is more humane. It also helps improve efficiency whether it’s in your office, home or city. It is also effective in real-time analysis.
The Cons of IoT
It is true that IoT can be seen in our day-to-day lives and like AI this concept too may seem very attractive. In fact, you must already be thinking about integrating this concept in your business but it is important to be well informed about the downside of IoT. IoT has a high number of privacy issues making it easy for hackers to get a hold of your private information. IoT is completely dependent on technology and like AI can cause unemployment by eliminating the need for depending on humans for any operations.
Difference Between AI and IoT
Now that we have familiarized ourselves with the definitions of AI and IoT, it is important to understand their differences to find out which application is for your business. Although IoT and AI are very similar concepts and correlated there are a few characteristics that make these concepts different from each other. Read the following to understand the difference between AI and IoT
Cloud computing is enhanced with AI and allows the machine to learn, act and react as humans would. With help from AI, machines can analyze and study available information to draw patterns and thereby make real-time decisions. This helps reduce or eliminate human errors thus increasing efficiency.
While AI enhances, IoT complements cloud computing. The two can work together to increase the efficiency of ordinary tasks. While IoT generates a mass amount of statistics and cloud computing provides a pathway for this data to be managed.
AI deals heavily with data, by learning it and modifying its performance to resolve errors and to analyze it. AI makes use of data for its decision-making process. With heaps and piles of data nowadays or rather big data, introducing AI or machine learning had become very important. AI has the capability of learning from its errors and evolving to perform in an optimum manner.
On the other hand, the Internet of Things that have various sensors in its systems that identify data and keeps it flowing inside it, pulling it out only when required. This flowing data is usually stored in an area while processing the identity of it.
Although the cost of implementing artificial intelligence depends upon the requirement, AI is slightly more expensive than the internet of things. The cost of implementing either can vary substantially based on the scope, complexity and system requirements.
The algorithm for artificial intelligence is derived from deep learning. It involves thoroughly analyzing and studying big data and then obtaining algorithms based on various sources to design the behavior of the system.
IoT, on the other hand, deals with sensory data that is implemented to create an algorithm for the purpose of formulating the behavior of the system.
When it comes to scalability, IoT takes the pie because of its cloud-based architecture. This architecture makes the Internet of Things inherently more scalable as compared to artificial intelligence. The significance of this cloud base is that it structures and eliminates the need for additional difficulty based connections.
Behavior & Human Intervention
The one behavior that can be observed in artificial intelligence is that it is all about instinctive reactions with respect to the input or data received. Also, when it comes to human interventions, artificial intelligence is mainly about the human intrusion.
The behavior of the internet of things is such that it deals with a set of predefined responses. These responses are triggered by making use of the devices. Since the responses are predefined, they make use of specific codes based on the algorithms. When it comes to human intervention, IoT can transfer data with or without any intervention. Since IoT has unique identifiers or UIDs, it does not involve any computer or human-to-human interaction.
What Does The Future Hold For AI?
Artificial intelligence and machine learning are here to stay and they are slowly making their presence felt in a lot of fields. AI can be seen in the field of medicine, food, health, science, finance, etc. The scope of AI is vast and it is rapidly expanding in various fields.
It is safe to say that artificial intelligence is going to deeply impact our future and we may soon see more of AI in the following.
Automated Commute and Transport
The beginning of self-driving cars has already been witnessed. You can also count on many exciting developments in the field of transport and logistics that may not be perfect right now but will soon bring automated cars into widespread use. We may even see full automation in buses and trains soon.
AI for Tedious and Dangerous Jobs
AI in the form of machines and robots are expected to take over tedious jobs. Resources used for these tasks can then be released and used in jobs that need more productivity. Apart from this, we could also expect AI to take over dangerous tasks like mining, defusing bombs, etc. and thus save many human lives.
AI for Solving Climate Change
Climate change is real and happening as you read this blog. We have ruined our planet due to pollution and it has adversely affected our environment. It is high time we start using technology and AI for combating issues of climate change.
AI in Health and Medicine
AI is at a stage where we might just achieve a medical breakthrough any moment now. AI is can be used to conduct operations, to take care of the elderly and to research and find solutions to terminal illnesses.
What Does The Future Look Like for IoT?
While there is no doubt that AI will be huge in the near future, the scope for IoT is also vast. Read the following to understand what does the future looks like for IoT.
Increase in the Number of Smart Cities
IoT will not stay limited to consumers but will be seen adopted by many cities and companies as well. Cities will soon be automated through video camera surveillance systems, kiosks, bike rental stations, etc.
Devices will Continue Getting Smarter
IoT devices powered with a better network such as 5G will continue developing and providing a high-speed and efficient service. IoT devices for controlling climate, cars, homes, types of machines, etc will be seen at large.
The Internet of Things will also be seen at large in industries. IoT for controlling machines used in industries will become a reality. IoT will not only be able to control and schedule the working of machines but will also be able to regulate temperature, climate, and other situations in the industry.
What Does The Future Hold for AIoT?
AIoT is when artificial intelligence meets the internet of things. While the two concepts may have their own set of differences and are independent innovations, combining them will have a transformative effect. Read the following to understand how the unified solution of AIoT will help redefine the future.
AIoT for Predictive Analysis
Integrating artificial intelligence with IoT infrastructures will allow manufacturers and other industries to achieve a greater and more efficient level of automation. AIoT technology will be able to streamline the operation of connected systems, enhance human-machine interface while supercharging data analysis and management. The main feature of this unified solution is that it will be able to analyze data from a vast number of connected devices in real-time, unlike current IoT devices that have certain limitations.
To Handle Big Data
AI is currently able to handle big data efficiently. However, the combination of AI and IoT can help improve the way big data is handled in real-time. AIoT adds and important ability to the existing features of analyzing, controlling, processing and storing, and that is acting. Once the data is analyzed and processed with the help of AI, IoT can help AI go beyond visualization by acting on the correlations and patterns from the telemetry data. Instead of just presenting actionable analysis to humans, AIoT automatically takes the suitable action.
To Improve the Scalability of AI
While IoT is definitely more scalable than AI because of its cloud-based architecture, the same cannot be said for AIoT.
While it currently appears that AIoT may be more beneficial for industrial automation, the Artificial Intelligence of Things may impact almost every industry like finance, aviation, hospitality, healthcare, manufacturing and much more.
The unique characteristics that separate these two concepts are that artificial intelligence is all about making your system act smartly, whereas IoT deals with sensors of devices. Even though this article is mainly about discussing the differences between these two concepts, together, they bring a connected level of intelligence that makes computers smarter and more efficient. There is no denying that the future of the internet of things is artificial intelligence and it is exciting to see how these two together will improve our lives for the better.
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