The Ultimate Guide to Natural Language Generation: Definitions, Trends, and Products
Natural language generation (NLG) software uses data to generate narratives that explain, describe, and summarize key points and patterns in data. Organizations use NLG for three overarching use cases: automating writing tasks, such as product descriptions and financial news, accelerating time to insight by interpreting and summarizing data within reports and visualizations, and personalizing content. NLG helps organizations save time and money, produce consistent and accurate narratives, automate delivery of insights, and more.
This report depicts the landscape for NLG products. It describes each product’s key differentiators and use cases. Rather than rate products and pick winners and losers, the report is designed to help customers ascertain which product is most suitable to their requirements. This report is geared to anyone that wants to learn about NLG tools and their capabilities or anyone shopping for NLG products. This includes chief technology officers, product managers, and solution architects who want to optimize the delivery of information to business users and customers. It also includes business executives and managers who want to streamline processes and costs.
The research is based on interviews with product managers at each profiled company as well as customers who are using their products.
Readers will learn:
- The definition of natural language generation
- Trends and developments in this market segment
- Product differentiators, use cases, and benefits
- Key considerations and recommendations for selecting products