Many times the two concepts are put face to face and we often see an artificial intelligence vs a machine learning debate going on on online discussion platforms like Reddit. In this blog we will look at each concept in depth and shine light on how these technologies are changing the world we live in and how companies use them to their benefit.
Artificial Intelligence Vs Machine Learning: The Key Difference
The simplest definition of artificial intelligence or AI is a computer software that emulates the human capacity to think and perform complex tasks in lesser time and greater efficiency compared to humans. The tasks AI can perform include but are not limited to data analysis, reasoning, and learning.
Machine learning, on the other hand, is a derivative of artificial intelligence. This subcategory utilizes algorithms to learn and identify patterns from data and use them to make better decisions and generate better user experiences.
In short, while mostly the two terms are used synonymously, AI and machine learning are two different entities with overlapping uses. Further in this blog we will elaborate on how the two technologies are incorporated in the modern world today.
More About Artificial Intelligence
Artificial intelligence is a computer software that mimics the human ability to perform tasks that could previously only be performed by humans. These tasks include data analysis, language translation, and decision making.
In technical terms, AI is a system that is coded in computer programs which enables it to imitate human reasoning. While conventional machines and softwares were designed to take instructions or input from humans and generate an output along the lines of those instructions, AI systems have a capability to learn from each interaction and improve their performance based on them.
Artificial intelligence is not an entity in isolation. It is an umbrella term that includes a variety of other components and systems. Some of the most common programs that AI encompasses are as follows.
- Deep learning
- Robotics
- Machine Learning
- Natural language Processing
The Basics of Machine Learning
As discussed earlier, machine learning is a subcategory of artificial intelligence. It involves learning by a machine without the need to program it for doing so. It is able to do that because of artificial intelligence and create better user experiences through automatic learning.
Machine learning is often used to improve the action and cognition of a computer system. This is possible through studying and experimenting with the phenomenon of machine learning.
A branch of machine learning is deep learning. As the name suggests it delves into the deeper layers of machine learning and explores large neural networks that function like a human brain to understand data. This model is hence equipped for data analysis and learning in the absence of any human input.
How Big Names in The Industry Utilize Artificial Intelligence and Machine Learning
Now that we have a basic understanding of what AI and ML are, the debate around artificial intelligence vs machine learning can have a rest. These days data is key. It is essential for companies, regardless of the industries they hail from, to generate actionable insights from data. This is where artificial intelligence and machine learning come into play. These entities help companies to automate numerous previously manual processes of data analysis and decision making.
By relying on artificial intelligence and machine learning companies can take data-backed decisions and increase the efficiency of their operations. The following are examples of a few industries where AI and ML have already carved their niche.
Healthcare
The healthcare sector is a goldmine for big data sets in the form of patient records, medical tests and recently health related applications like smartwatches. The artificial intelligence vs machine learning tug of war is therefore best put to use in this sector. Both AI and machine learning are utilized to improve treatment outcomes in healthcare.
AI and ML are used to assist in hospital management by strategic allocation of resources throughout different departments. Additionally, these models are also used to detect cancerous growths in X-rays and other scans. Lastly, some healthcare setups have also started to use artificial intelligence or creating customized treatment plans for individual patients.
Business
The biggest breakthrough of artificial intelligence and machine learning has been in the business sector. Here, operations costs have been cut down through automation and analysis of big data sets. These are promising results of incorporating AI and ML in business operations and as a result an increasing number of companies are resorting to AI based solutions in their workflows.
Banking
Data security is a key concern in the banking industry. Artificial intelligence is helping financial leaders across the industry to safeguard consumer data in a variety of ways. The most common and widespread method is to switch to biometrics to authenticate user identity, especially for online banking. Besides this, machine learning is also used to detect and prevent cybersecurity attacks.
Conclusion
In summary, artificial intelligence and machine learning are emerging technologies that are here to stay. While the debate of artificial intelligence vs machine learning is an ongoing one, most people are now understanding their differences and how each can be used to maximize efficiency in several niches.
While AI can emulate human-like reasoning capabilities, ML can improve user experiences by learning from patterns and generating relevant algorithms. A host of industries are now employing these entities for automation and enhancing efficiency in the workplace.
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