Natural Language Generation is Humanizing Analytics for the Masses

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We are witnessing a fascinating change happening in analytics and across all industries. Novel immersive user experiences are just beginning to emerge that leverage artificial intelligence and human language. Natural Language Generation (NLG) is powering conversations between man and machine. NLG is empowering the masses.

In the industrial age, humans operated pedals, gearshifts, wheels, and switches. Machines would provide feedback via gauges or signals. In the information age, humans have interacted with machines by typing, pointing, clicking, or touching a screen. In the immersive age, machines will be controlled with human gestures and voice. These changes in human computer experiences will influence exciting future analytics product designs. In fact, it is already happening.

NLG technology is inspiring an entirely new generation of analytics solutions and supplementing traditional ones. With NLG search user interfaces, users can interact with data just as they would a simple Google search. This popular capability found in Thoughtspot and other offerings streamline basic data analysis by allowing users to ask questions of their data.

Taking it one step further, NLG user interfaces with added voice text-to-speech (TTS) are popping up in analytics “bots”. These solutions are enabled by technologies such as Alexa. Alexa is the Amazon service that allows humans to interact with devices using voice.

Analytics savvy NLG APIs such as Narrative Science’s Quill or Automated Insights Wordsmith are also game changing. These solutions can automate identifying insights from data and explain findings. They are being used right now in healthcare, insurance, news, sports, financial services, business intelligence and CRM applications. Narrative Science demonstrated the combination of  NLG with TTS for analytics at the 2017 Gartner Data & Analytics Conference.

We first got a glimpse into what NLG could do for analytics when innovative BeyondCore, acquired by Salesforce in September 2016 and incorporated into Salesforce Analytics Cloud Einstein, entered the market. BeyondCore automated diagnostic, predictive and prescriptive insights.

Read the source article at Information Week.