Section 2: Using NLP to Accelerate Business Outcomes

In this section, we dive deep into the several types of use cases prevalent across industries that can benefit from NLP based on our collective experience and the usage trends we have observed. We will provide detailed code samples, design and development approaches, and a step-by-step guide on how to set up and run these examples, along with access to a GitHub repository. We will also dive deep into the use case of how AWS NLP solutions can help achieve operational efficiency in healthcare with an automated claims adjunction use case.

This section comprises the following chapters:

• Chapter 4, Automating Document Processing Workflows
• Chapter 5, Creating NLP Search
• Chapter 6, Using NLP to Improve Customer Service Efficiency
• Chapter 7, Understanding the Voice of Your Customer Analytics
• Chapter 8, Leveraging NLP to Monetize Your Media Content
• Chapter 9, Extracting Metadata from Financial Documents
• Chapter 10, Reducing Localization Costs with Machine Translation
• Chapter 11, Using Chatbots for Querying Documents
• Chapter 12, AI and NLP in Healthcare