What is the difference between AI and Machine Learning? How to use those technologies to improve your industry?

By Daniel Nobre

Two technology topics are currently on buzz: Artificial Intelligence (AI) and Machine Learning (ML). But what is the difference between them?

According to an article on the Microsoft Azure website, AI is the capability of a computer system to mimic human cognitive functions such as learning and problem-solving. Through AI, a computer system uses math and logic to simulate people’s reasoning to learn from new information and make decisions.

In contrast, ML is an application of AI. It uses mathematical data models to help a computer learn without direct instruction. This enables a computer system to continue learning and improving based on experience.

According to the Microsoft Azure article, both technologies will be connected when a “smart” computer uses AI to think like humans and perform tasks independently. In this case, the article complement, Machine Learning is how a computer system develops its intelligence. 

So, definitely, AI and Machine Learning are not the same things, but both are very closely connected. ML can be considered a subset of AI.

>>>AI has the potential to make a massive difference in our world, but do you know how to use it?

How can companies use AI and Machine Learning?

According to an article on the Columbia Engineering University website, AI and ML will allow organizations to automate manual processes involving data and decision-making. It is an excellent advantage in a competitive scenario. By working on those data, leaders can get insights to solve problems easily and quickly.

The Columbia Engineering University article shows some examples of the use of AI and ML can be critical to some industries like manufacturing, banking, and healthcare. See below:

AI in the manufacturing industry

– Through analytics and machine learning, be able to identify equipment errors before malfunctions occur using the Internet of Things (IoT)

– Predict when to service machinery using an AI app on a device located inside a factory and when to service it, so it doesn’t fail mid-shift

– Study HVAC energy consumption patterns and use machine learning to adjust optimal energy savings and comfort level

AI and ML in banking

– To prevent cybersecurity attacks and detect attacks through the use of machine learning

– Through the integration of biometrics and computer vision, authenticate user identities and process documents quickly

– Incorporating intelligent technologies such as chatbots and voice assistants to automate essential customer service functions

AI in healthcare

– Through Machine Learning, be able to provide clinical decision support and automated insights in addition to analyzing data from users’ health records

– Reduce the length of stay of patients through the integration of an AI system that predicts the results of hospital visits to avoid readmissions

– Using natural language understanding, capture and record provider-patient interactions in exams or telehealth consultations

ChatGPT and next steps

Nowadays, we see the growth of AI discussions thanks to ChatGPT. Many people and industries started to use the tool to develop projects and studies.

The intelligence behind ChatGPT is evolving and learning, and with each query, it becomes more robust and powerful, with more accurate results.

Microsoft brought an AI into its Microsoft PowerPoint so that Artificial Intelligence makes more beautiful and powerful presentations, helping the user to waste less time and invest in more creative aspects and not get stuck in simplistic phases as before.

Other programs already work together with AI to improve video and photo editing. There are even videos on YouTube helping users to work with Canvas more professionally and intuitively. Yes, ChatGPT is assisting as a support tool and not a replacement.

ChatGPT will come back soon!

Image by Gerd Altmann from Pixabay