What are some real-world use cases of machine learning?

Here are a few instances of machine learning that you might come across daily:

Speech recognition

It is a capability that employs natural language processing (NLP) to turn human voices into a written format. It is called automatic speech recognition (ASR) , computer speech recognition, or speech-to-text.

Many mobile devices have speech recognition built in to conduct voice searches (e.g., Siri) or improve messaging accessibility.

Customer services

Along the consumer journey, online chatbots are taking place of human agents.

They provide personalized advice, cross-selling products, and suggest sizes for users, changing how we think about customer engagement on websites and social media platforms. It answers frequently asked questions (FAQs) around topics like shipping or providing personalized advice, cross-selling products, or suggesting sizes for users, changing how we think about customer engagement across websites and social media platforms.

Message bots on e-commerce sites with virtual agents, messaging apps like Slack and Facebook Messenger, and duties typically performed by virtual assistants and voice assistants are all examples.

Computer vision

This AI technique allows computers and systems to extract useful information from digital photos, videos, and other visual inputs and to act on that information.

It is different from picture recognition jobs in that it can make recommendations.

Computer vision has applications in photo tagging on social media, radiological imaging in healthcare, and self-driving cars in the automotive sector, all powered by convolutional neural networks.

Recommended engines

AI algorithms can help discover data trends that can be used to develop more effective cross-selling strategies by using past consumption behavior data.

This is utilized by online businesses to give relevant add-on recommendations to customers throughout the checkout process.

Automated stock trading

AI-driven high-frequency trading platforms are created to optimize stock portfolios make many deals every day without human participation.