Difference Between AI and Hyperautomation:
Every few days we get to hear some technical word or the other because technology is growing rapidly these days. Among two of those words are very common: Artificial Intelligence (AI) and Hyperautomation. Many people think that both have the same work and purpose but it is not so.
In this article, AI and Hyperautomation are explained in very simple way, the way a teacher or a senior friend would explain.
What Is Artificial Intelligence (AI)?
Artificial Intelligence, or AI, simply means making machines smart.
Computers can perform human-like tasks through AI such as thinking, learning, and taking decisions with the help of software. It can perform intelligent tasks, but it is not exactly like the human brain.
AI machines can do the following:
- Learn from past data
- Understand human language
- Recognize faces, photos, and videos
- Answer questions
- Improve with time
As it receives data, it learns and improves, rather than following a fixed rule.
Simple Examples of AI in Daily Life
You use AI every day, even if you do not realize it.
- YouTube suggests new videos to watch
- Google suggests words while typing
- Phones unlock using face or fingerprint
- Chatbots reply on websites
All these are small but clear examples of AI.
Types of AI (In Very Easy Language)
1. Machine Learning
In this, the machine learns from data and slowly becomes better.
Example: An email spam filter that identifies unwanted emails.
2. Language Understanding
Here, the machine understands what humans speak or write.
Example: Voice assistants and chatbots.
3. Image Understanding
Here, the machine understands photos and videos.
Example: Face unlock feature in smartphones. In short, the main work of AI is thinking and learning.
What Is Hyperautomation?
Hyperautomation means doing the entire work automatically.
Automation means getting work done by machines. Hyperautomation goes one step ahead. It connects many tools and systems to create a complete process that works on its own.
Hyperautomation uses:
- Automation software
- AI tools
- Machine learning
- Data systems
- Workflow tools
The main goals are:
- Completing work faster
- Reducing errors
- Saving human time
A Simple Example of Hyperautomation
Imagine a company who receives hundreds of emails daily.
Without Hyperautomation
- An employee opens every email
- Reads the problem
- Types a reply
- Sends the email
With Hyperautomation
- The system reads emails automatically
- AI understands the problem
- An automatic reply is sent
- If required, the task is assigned to a human
This complete automatic flow is called hyperautomation.
Main Difference Between AI and Hyperautomation
Let us understand the difference in simple words.
Purpose
- AI: Makes machines intelligent
- Hyperautomation: Makes work automatic
Focus
- AI: Learning and thinking
- Hyperautomation: Speed and efficiency
Working Style
- AI: Improves with time
- Hyperautomation: Follows defined steps
Usage
- AI: Can work independently
- Hyperautomation: Works by combining AI and other tools
Can Hyperautomation Work Without AI?
Yes, but only at a limited level.
Without AI:
- The system only follows rules
- It cannot understand new problems
- It cannot learn from mistakes
When AI is added, hyperautomation becomes smarter and more flexible.
Real Life Uses
Uses of AI
- Voice assistants
- Face recognition
- Language translation apps
- Online recommendations
Uses of Hyperautomation
- Banking processes
- Customer support systems
- Office daily tasks
- Order and delivery systems
Why Companies Use Both Together
Companies want work to be faster and costs to be lower.
- AI helps systems think and decide
- Hyperautomation helps systems work automatically
Together, they:
- Save time
- Reduce human errors
- Provide a better customer experience
Easy Way to Remember
- AI = Brain
- Hyperautomation = Worker
The brain makes decisions, and the worker completes the work.
Conclusion
AI and hyperautomation are two different things but in the future, the combination of both of them can be very useful.
AI makes machines smart, while hyperautomation teaches machines to work continuously without stopping.
