Meaning and Application of Artificial Intelligence & Machine Learning

Artificial intelligence (AI) and machine learning (ML) are the buzzwords in the industry these days. AI and ML are used across industries for automating different processes and achieving a competitive advantage.

Although companies widely use artificial intelligence and machine learning-equipped machines, many people know very little about them. Even though there’s a stark difference between AI and ML, many, especially non-technical people, use these terms interchangeably.

Therefore, let’s start with understanding the meaning of AI and ML. Further, then learn about the application of artificial intelligence and machine learning in different lines of business.

What is Artificial Intelligence?

Artificial intelligence refers to the ability of machines to solve problems and take action like humans. In layperson’s terms, AI equips machines to perform tasks that require human intelligence.

The below picture explains the universe of AI, of which ML is the part that has deep learning as another part.

Here are some of the goals of AI:

• To create intuitive and intelligent systems
• To implement human intelligence in machines that can solve complex problems

What is Machine Learning?

ML refers to the ability of machines to learn from data and predict the future without human intervention. Simply put, ML focuses on teaching machines how to learn from the data available and improve with experience – instead of being programmed to do so.

In machine learning, algorithms are trained to find patterns in large data sets and make decisions and predictions based on that analysis. Henceforth, ML algorithms make accurate predictions with time.

Applications of Artificial Intelligence and Machine Learning

So, here are some applications of artificial intelligence

1. Speech recognition: AI algorithms are used in many speech recognition devices like Alexa to understand human language, convert them into commands, do the research and give appropriate results.
2. Navigation: AI algorithms are used in navigation applications like Google maps. They (AI algorithms) are used to reach a destination in minimum time, look at real-time traffic data, and more.
3. Chatbots: Nowadays, companies use chatbots as a lead generation tool. The idea of a chatbot is to respond to user queries with minimal human intervention. It helps improve the user experience by providing visitors guidance and support needed to navigate a website. With new techniques like Natural Language Processing (NLP) and AI, machines can also react to advanced queries, which involves looking at a user’s history and profile before attending the query.
4. Autonomous cars: Autonomous cars are the future. These automated cars use AI and ML algorithms to sense the environment and operate without human drivers.

Meanwhile, here’s the application of artificial intelligence across different lines of business.

• AI in e-commerce can provide a personalised shopping experience, assistance, and fraud prevention.
• AI in education can help automate administrative tasks, digitise content like video lectures, conferences, and textbooks, and provide personalised learning.
• AI in human resources helps scan the job profile and resumes of candidates.
• AI in healthcare can help build modern and sophisticated machines to detect diseases. It can also be used to maintain the medical data of patients.

Moving on, here are the applications of machine learning

1. Image recognition: Image recognition is the most common application of machine learning. Henceforth, ML algorithms are used to read and understand images and identify objects, persons, places, and digital images. However, the most popular use of image recognition is the automatic friend tagging suggestion on social media.
2. Automatic language translation: Most people would have used automatic language translating apps to convert texts into their known language.  Therefore, this process is called automatic translation, which is possible due to machine learning systems like Neural Machine Learning, which translates texts into known languages.
3. Product recommendation: Machine learning is widely used across e-commerce companies to provide useful product recommendations.
4. Email spam and malware filtering: Machine learning helps in automatically filtering emails into different folders like significant, usual or spam.

Many organisations are adopting popular machine learning and artificial intelligence applications to gain a competitive advantage.

Elevate your AI and ML Skills with Emeritus

Wide use of modern ML and AI algorithms across businesses has accelerated the requirement for skilled and talented engineers and designers. Therefore, if you plan to make a career in ML or AI, then pursuing a certificate course in AI or ML will enhance your chances of attracting exciting work opportunities.

These advanced courses will equip you with the skills and knowledge required to lead end-to-end ML and AI projects and solve complex business problems.

Emeritus offers some of the best AI and ML online certificate courses in partnership with renowned institutes. Moreover, these programmes are designed for fresh graduates and working professionals looking to transition into managerial positions.