Examples of AI Applications

AI applications and other AWS services automate processes across various industries. Some of the applications include computer vision, natural language processing (NLP), intelligent document processing (IDP), and fraud detection. These applications are used in various industries, from healthcare to finance to retail. These AI applications aim to enhance customer experiences, boost employee productivity, and improve business operations.

Computer vision

Computer vision is a field of artificial intelligence that allows computers to interpret and understand digital images and videos. Deep learning has revolutionized computer vision by providing powerful techniques for tasks such as image classification, object detection, and image segmentation.

Computer vision is used by but not limited to the following industries.

Auto manufactures can use computer vision technology to make self-driving cars safer and more reliable.

Business value: Enhance customer experience

Natural language processing

NLP is a branch of artificial intelligence that deals with the interaction between computers and human languages. Deep learning has made significant strides in NLP. It can perform tasks such as text classification, sentiment analysis, machine translation, and language generation.

NLP is used by but not limited to the following industries.

Insurance companies can use NLP to extract policy numbers, expiration dates, and other personal information.

Business value: Sensitive data redaction

Intelligent document processing

IDP is an application that extracts and classifies information from unstructured data, generates summaries, and provides actionable insights.

IDP is used by but not limited to the following industries.

Financial services use IDP to extract important information from mortgage applications to accelerate customer response time. It also helps with the underwriting process by identifying incomplete loan packages, tax forms, pay stubs, and other missing data.

Business value: Improve business operations, automation

Fraud detection

Fraud detection refers to the process of identifying and preventing fraudulent activities or unauthorized behavior with a system, process, or transaction.

Fraud detection is used by but not limited to the following industries.

Financial services use fraud detection for identity verification, payment fraud detection, transaction surveillance, and anti-money laundering (AML) sanctions.

Business value: Improve business operations

You have learned how AI contributes to various industries and the different applications used to create solutions. In the next section, you will learn about ML.