Artificial intelligence (AI) and machine learning are often used interchangeably. One of popular Google search requests is “are artificial intelligence and machine learning the same thing?” There are subtle differences but the most important one is that machine learning is based on machines learning and evolving (similar to what some scientists refer to as deep learning) while AI refers to a broader idea where machines can execute tasks "smartly." It can include machine learning, deep learning and other techniques to solve actual problems.

Some of the most common use of AI using machine learning to deliver some services that have quickly become ubiquitous in our lives include:

• Virtual Personal Assistants: Virtual assistants like Google Assistant, Siri or Alexa use machine learning as they collect and refine the information on the basis of your previous interaction to render results that are tailored to your preferences.
• Maps and traffic Predictions: When using GPS navigation services, our current locations and velocities are being saved at a central server for managing traffic. This data is used to build a map of the current traffic. While this helps in preventing the traffic and does congestion analysis, the underlying problem is that there are fewer cars equipped with GPS. AI and machine learning in such scenarios help to estimate the regions where congestion can be found on the basis of daily experiences.
• Social media: We all have been recommended people to connect to or what we should watch or what might be of interest to us. It is an annoying or useful tool depending on the platform. From personalizing your news feed to better ads targeting you, social media platforms are utilizing machine learning for their own and user benefits.
• Online customer support: A number of websites today offer the option to chat with a customer support representative. In most of the cases, you talk to a chatbot. These bots tend to extract information from the website and present it to the customers. Some of the better chatbots tend to understand the user queries better and serve them with better answers, which is possible due to its machine learning algorithms.
• Search engines: Google and other search engines use machine learning to improve the search results for you. Every time you execute a search, the algorithms at the backend keep a watch at how you respond to the results and improve every time you search. If you open the top results and stay on the web page for long, the search engine assumes that the results it displayed were in accordance with the query. Similarly, if you reach the second or third page of the search results but do not open any of the results, the search engine estimates that the results served did not match requirement. 
• Product Recommendations: Most shopping websites like Amazon or Souq (and some of the more sophisticated websites and apps) usually recommend items that somehow matches your taste. Machine learning is responsible for analysing your behaviour and interaction with the website/app based on past purchases, items liked or added to cart, brand preferences etc, to make these product recommendations.