Outsell’s industry benchmarks show that content creation is on average the biggest single expense category for information businesses. Emerging technologies that provide a way to increase efficiency and create automated content are delivering impressive results. These tools are making a splash for information business, but vendors are finding an even bigger market in business intelligence and helping all businesses to communicate their analysis of big data. In this report, you’ll find:
- An overview of two categories of automated content technology: web data extraction and natural language generation;
- Profiles of leading vendors and use case studies;
- Implications of these technologies, including implementation and future prospects;
- Essential actions for CEOs and their management teams evaluating whether or how to embrace new technologies and defining reasonable expectations.
This report also provides guidance for technology firms looking for great understanding of the needs and expectations of content producers and prospects of these offerings.
Methodology
This report is based on 16 interviews with leading vendors in each category, users from a variety of sectors employing the tools for both internal processes and external publishing, and other technology service providers to information businesses. It also draws on secondary research into the technologies concerned and their applications, as well as Outsell’s regular dialogue with executives in media, information, and technology companies.
Contents
- Why This Topic
- Methodology
- Content and Technology
- Web Data Extraction
- Use Cases
- Product Features
- Workflow Chain
- Vendors
- User Case Studies
- Natural Language Generation
- Use Cases
- Technology
- Vendors
- User Case Studies
- Implications
- Implementation
- Essential Actions
- Related Research
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