Internet of Things(IOT), Machine Learning and Artificial Intelligence(AI)
The Internet of Things (IoT) is a system of interrelated computing devices, mechanical and digital machines, objects, animals or people that are provided with unique identifiers and the ability to transfer data over a network without requiring human-to-human or human-to-computer interaction.
In this 21st Century of Networking and Technology, we are surrounded by various technologies that are linked with the internet, and as we nowadays see home automation systems, smart audio responsive gadgets which make our work a lot easier than before.
These gadgets, systems, and technologies work on IoT, ML, and AI.
You all might be guessing what all abbreviations I have written up there. Many might be knowing, many might be not. So AI stands for "Artificial Intelligence", ML stands for "Machine Learning" and IoT as described earlier stands for "Internet of Things".
So, this was the brief description of what IoT is and what all things it can do.
The definition of the Internet of things has evolved due to the convergence of multiple technologies, real-time analytics, machine learning, commodity sensors, and embedded systems. Now, as we are talking about Real-time analytics, machine learning, and embedded systems lets see what all these are(but lets keep it short).
Real-Time Analytics -----> Analytics is the discovery, interpretation, and communication of meaningful patterns in data; and the process of applying those patterns towards effective decision making. In other words, analytics can be understood as the connective tissue between data and effective decision making, within an organization. Especially valuable in areas rich with recorded information, analytics relies on the simultaneous application of statistics, computer programming, and operations research to quantify performance.
Machine Learning -----> Machine learning (ML) is the scientific study of algorithms and statistical models that computer systems use in order to perform a specific task effectively without using explicit instructions, relying on patterns and inference instead. It is seen as a subset of artificial intelligence. Machine learning algorithms are used to build a mathematical model based on sample data, known as "training data", in order to make predictions or decisions without being explicitly programmed to perform the task. Machine learning algorithms are used in a wide variety of applications, such as email filtering, and computer vision, where it is infeasible to develop an algorithm of specific instructions for performing the task. Machine learning is closely related to computational statistics, which focuses on making predictions using computers.
Artificial Intelligence(AI) ----> By the term Intelligence we understand one’s ability to acquire knowledge and skills and make it happen
whenever its required, or, it is also understood as an individual’s capability of collecting information and data. If we talk about Artificial
Intelligence then it’s mostly about giving Human Intelligence processes to a machine, more precisely, A Computer, to do tasks where
there are Chances for Human Error when done for longer duration. These processes include learning (the acquisition of information and
rules for using the information), reasoning (using rules to reach approximate or definite conclusions) and self-correction.
Devices or components used for the above Things:Generally ESP8266 is the Low-Cost Wi-Fi Module one can use for IoT project, Arduino for controlling, as well as Raspberry-Pi as a
MicroComputer, further more components can be used according to the Project Needs.
For Further Tutorials and Knowledge about Project Making on IoT and All, follow the below Links:
https://learn.adafruit.com/
https://stackoverflow.com/
https://www.hackster.io/
NEED FOR THIS:
AI - We need Artificial Intelligence (AI) because the work that we need to do is increasing day-to-day. So it’s a good idea to automate the
routine work. This saves the manpower of the organization and also increases the productivity. Additionally, through this Artificial
Intelligence, the company can also get the skilled the persons for the development of the company. If I say about the Marketing and Profit
making scenario, the companies today think that they want to mechanize all the regular and routine work, which will increase their productivity.
ML - Machine learning is needed for tasks that are too complex for humans to code directly. Some tasks are so complex that it is impractical
or if not impossible, for humans to work out and code for them explicitly. So instead, we provide a large amount of data to a machine
learning algorithm and let the algorithm work it out by exploring that data and searching for a model that will achieve what the
programmers have set it out to achieve.
IOT – Benefits of IoT and why one should use it…..More data means better decisions, it means that the maximum amount of sensors or components attached to a particular device will
help to monitor the Device as well as the Surroundings more accurately and effectively.
Ability to track and monitor things, means it will help the people to track small-small things which we miss out in our Day 2 Day
life, e.g., Switching of Fan/Light/AC/etc.
Lighten the workload with automation, who doesn’t wants to live a merry life free from tedious tasks, IoT does it for you,
automatically informing you to.
Increases efficiency by saving money and resources, automation will help in automatic switching off of many devices which will
save energy and consequently will same money.
Better quality of life- when money is saved then way of living and life quality will also enhance.
©SherilThomas
These gadgets, systems, and technologies work on IoT, ML, and AI.
You all might be guessing what all abbreviations I have written up there. Many might be knowing, many might be not. So AI stands for "Artificial Intelligence", ML stands for "Machine Learning" and IoT as described earlier stands for "Internet of Things".
So, this was the brief description of what IoT is and what all things it can do.
The definition of the Internet of things has evolved due to the convergence of multiple technologies, real-time analytics, machine learning, commodity sensors, and embedded systems. Now, as we are talking about Real-time analytics, machine learning, and embedded systems lets see what all these are(but lets keep it short).
Real-Time Analytics -----> Analytics is the discovery, interpretation, and communication of meaningful patterns in data; and the process of applying those patterns towards effective decision making. In other words, analytics can be understood as the connective tissue between data and effective decision making, within an organization. Especially valuable in areas rich with recorded information, analytics relies on the simultaneous application of statistics, computer programming, and operations research to quantify performance.
Machine Learning -----> Machine learning (ML) is the scientific study of algorithms and statistical models that computer systems use in order to perform a specific task effectively without using explicit instructions, relying on patterns and inference instead. It is seen as a subset of artificial intelligence. Machine learning algorithms are used to build a mathematical model based on sample data, known as "training data", in order to make predictions or decisions without being explicitly programmed to perform the task. Machine learning algorithms are used in a wide variety of applications, such as email filtering, and computer vision, where it is infeasible to develop an algorithm of specific instructions for performing the task. Machine learning is closely related to computational statistics, which focuses on making predictions using computers.
Artificial Intelligence(AI) ----> By the term Intelligence we understand one’s ability to acquire knowledge and skills and make it happen
whenever its required, or, it is also understood as an individual’s capability of collecting information and data. If we talk about Artificial
Intelligence then it’s mostly about giving Human Intelligence processes to a machine, more precisely, A Computer, to do tasks where
there are Chances for Human Error when done for longer duration. These processes include learning (the acquisition of information and
rules for using the information), reasoning (using rules to reach approximate or definite conclusions) and self-correction.
Devices or components used for the above Things:Generally ESP8266 is the Low-Cost Wi-Fi Module one can use for IoT project, Arduino for controlling, as well as Raspberry-Pi as a
MicroComputer, further more components can be used according to the Project Needs.
For Further Tutorials and Knowledge about Project Making on IoT and All, follow the below Links:
https://learn.adafruit.com/
https://stackoverflow.com/
https://www.hackster.io/
NEED FOR THIS:
AI - We need Artificial Intelligence (AI) because the work that we need to do is increasing day-to-day. So it’s a good idea to automate the
routine work. This saves the manpower of the organization and also increases the productivity. Additionally, through this Artificial
Intelligence, the company can also get the skilled the persons for the development of the company. If I say about the Marketing and Profit
making scenario, the companies today think that they want to mechanize all the regular and routine work, which will increase their productivity.
ML - Machine learning is needed for tasks that are too complex for humans to code directly. Some tasks are so complex that it is impractical
or if not impossible, for humans to work out and code for them explicitly. So instead, we provide a large amount of data to a machine
learning algorithm and let the algorithm work it out by exploring that data and searching for a model that will achieve what the
programmers have set it out to achieve.
IOT – Benefits of IoT and why one should use it…..More data means better decisions, it means that the maximum amount of sensors or components attached to a particular device will
help to monitor the Device as well as the Surroundings more accurately and effectively.
Ability to track and monitor things, means it will help the people to track small-small things which we miss out in our Day 2 Day
life, e.g., Switching of Fan/Light/AC/etc.
Lighten the workload with automation, who doesn’t wants to live a merry life free from tedious tasks, IoT does it for you,
automatically informing you to.
Increases efficiency by saving money and resources, automation will help in automatic switching off of many devices which will
save energy and consequently will same money.
Better quality of life- when money is saved then way of living and life quality will also enhance.
©SherilThomas
