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A Short Guide to Natural Language Generation

Updated on August 20, 2019
Rebecca Sampson profile image

Rebecca is an aesthete who is an avid reader and a music enthusiast. She enjoys writing Blogs and Articles on Technology and Lifestyle.

Natural Language Generation
Natural Language Generation | Source

A subdivision of Artificial Intelligence & Machine Learning

Do you know that your data speaks volumes? It’s true!

Organizations today, use manifold systems to generate phenomenal reports, however, analyzing these reports as well as generating actionable insights from them still remains a challenge. When information is extracted from text, data sets or other similar sources, it is its weight worth in gold. A plethora of processes can be used in order to generate data-driven insights which could help solve crucial data problems.

What is NLG and how can it help?

Initially, the usage of Dashboards and Graphs were prevalent, however, today, with NLG or Natural Language Generation, the capability has evolved. NLG has the capability to create and deliver clear and insightful analysis based on large chunks of structured organizational data, which can help industry-wide experts to focus and develop new and improved strategies.

Why should you choose NLG?

Popularly known as the subdivision of Artificial Intelligence (AI), and the future of Content Management, NLG addresses the communication aspect and bridges the gap between humans and machinery. Mike Gualtieri of Forrester Research rightly says, “NLG strives to express information stored and modeled in software in natural language that humans can understand as if they were talking to a native speaker. Applications use NLG technology to speak or converse with humans.”

Does the NLG Industry have a future?

According to Tractica, an online research-based organization, ‘by 2025 the global Natural Language Generation Market is expected to reach $22.3 billion.’ This means that the NLG Market has enormous growth prospects in the near future, in both volume and value.

What are the benefits of NLG?

Honestly and realistically speaking, today, there are no industries that could not benefit from NLG. Wherever a need for content generation exists, NLG is required. For example, important benefits include:

  • Auto-Generated Quality Content
  • Accurate and Error-Free Data
  • Intelligent Insightful Data Analysis
  • Personalized Real-time and Interactive Communication
  • Timely Reporting
  • Reduces Decision Taking Time by 50%

Is it time for Industries to adopt NLG?

Recently, an employee of Gartner made a public statement that,” In 2019, automated text generation will be a key component of 90 percent of BI and Analytics platforms,”

What he meant was that as companies try to streamline their operations in the near future, they will have to adopt certain trends to improve. Nowadays, automation is slowly becoming a thing of the future and therefore is attracting a huge mass of millennials.

Moreover, NLG or Natural Language Generation has the capability to improve user experience, generate quality content, reduce expenses and streamline operations, therefore creating a composite, appealing package.

Contact me personally if you need to know more on NLG and I'll guide you on your requirements.

This content is accurate and true to the best of the author’s knowledge and is not meant to substitute for formal and individualized advice from a qualified professional.

© 2019 Rebecca Sampson


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