Through the universal power of words, Advanced Natural Language Generation (Advanced NLG) is positively changing modern human-computer user experiences. Why? Advanced NLG systems automatically understand user intent and generate content. They are intelligent. This revolutionary technology broadens application adoption and expands usage by empowering everyone, regardless of data literacy, to easily interpret, communicate, and act on unbiased insights in real-time. Conversational interfaces make applications practical for the masses.

Featured white paper “Humanizing Enterprise Application Software with Natural Language

NLG White Paper

Change the Game with Advanced NLG

Product managers tasked with crafting roadmaps and optimizing applications should be considering how Advanced NLG can be applied in their solutions. Since natural language can be understood and used by everyone, Advanced NLG-enabled applications improve competitive advantage, reduce time to action and foster data-driven cultures.

Natural language, human-friendly, voice and text user interfaces powered by Advanced NLG are altering the application landscape. Developers are employing Advanced NLG technology to simplify application user interfaces, enhance mobile experiences, monetize information assets, and introduce new products. Existing product and process designs are being reimagined with embedded Advanced NLG. It is already happening in enterprise systems, healthcare, finance, insurance, government, media, sports, consumer applications, science and business intelligence.

According to Gartner, “By 2019, natural-language generation will be a standard feature of 90% of modern BI and analytics platforms.” NLG was also cited by Forbes in 2017 as a Top 10 Hot AI technology.

Major market forces currently driving increased demand for Advanced NLG include the following:

  • Enhanced digital customer experiences across channels
  • Increased usage of smart devices, chatbots and personal assistants
  • Popularity of voice solutions like Amazon Alexa
  • Digital transformation trends and business process automation initiatives
  • Growth in machine-to-machine technologies such as the Internet of Things (IoT)

Innovations in Advanced NLG human-computer interactions can help every organization. Advanced NLG applications provide users with immediate context of prior interactions, locations, and semantics for improved decision making.

Intent is Everything

How would you redesign your application to be conversational with natural language? For Advanced NLG APIs like that of Narrative Science, intent is everything. Developers reimagining application user experiences should apply design thinking methodology with intent as a compass guiding the new human-computer user experience.

Design thinking involves observation to discover unmet needs within the context and constraints of a situation, framing the opportunity and scope of innovation, generating creative ideas, testing and refining solutions. It is the secret behind successful applications that users love.

When integrating Advanced NLG into applications, product managers will want to consider functionality that would benefit from conversational, intelligent human language. Ideal types of tasks to redesign with Advanced NLG include but are not limited to the following:

  • Manually looking up data, comparing or scanning through tables
  • Analyzing charts, metrics or maps
  • Computing, interpreting and communicating performance
  • Developing recurring status reports
  • Opening multiple screens or referring to different applications

As you personally witness what users do in the real world to solve problems, it is inevitable that you will find even more areas where Advanced NLG could improve their experience, save time, and money.

Where Should You Begin? 

Where should you begin? To explore how Advanced NLG is being incorporated into numerous line of business applications and processes today, please download the free white paper “Humanizing Enterprise Application Software with Natural Language”.

In the white paper, we explore how Advanced NLG works and how it can be applied. We then share guidance on how you can embed human language with Advanced NLG into your applications. We introduce and encourage you to apply design thinking methodology to humanize your own applications. Don’t merely rebuild what you already have today. Relish in designing what is possible for tomorrow.