This code pattern explains how to create a platform to help insurance agents process claims. We use IBM Watson natural language processing capabilities to understand, classify, and retrieve information to reduce repetitive tasks. In turn, this allows the agent to tackle more creative and complex problems, and most customers receive answers to their questions faster with the help of a Watson-based virtual assistant. We create the virtual insurance assistant using Node.js and Watson Assistant. The assistant uses Watson Discovery to answer policy questions.

Amazon Textract is a machine learning (ML) service that makes it easy to extract text and data from scanned documents. Textract goes beyond simple optical character recognition (OCR) to identify the contents of fields in forms and information stored in tables. This allows you to use Amazon Textract to instantly "read" virtually any type of document and accurately extract text and data without needing any manual effort or custom code. Amazon Textract has multiple applications in a variety of fields. For example, talent management companies can use Amazon Textract to automate the process of extracting a candidate's skill set.

Today we are excited to announce that three AI Builder preview model types are now generally available. Models that are generally available are considered production ready. The Entity extraction prebuilt model identifies and classifies key elements from text into pre-defined entities. You can use the prebuilt model out of the box in power apps and power automate. The Entity extraction custom model enables you to identify and classify key elements from text into your domain-specific custom entities that you define.

We are living in an era where messaging apps deal with all sorts of our daily activities, and in fact, these apps have already overtaken social networks as can be indicated in the BI Intelligence Report. In addition to this clear point, the consumption of messaging platforms is further expected to grow significantly in the coming years; hence this is a huge opportunity for different businesses to gain attention where people are actively engaged. In this age of instant gratification, consumers expect companies to respond to them quickly without any delay, and this, of course, requires a lot of time and effort for the company to hire and invest in their workforce. Thus, it's now the right time for any organization to think of new ways to stay connected with the end-user. Many organizations undergoing a digital transformation have already started harnessing the power of Artificial Intelligence in the form of AI-assisted Customer Support System, Talent Screening using AI-assisted interviews, etc.