Applying NLG to Make Analytics More Humane

by June 18, 2020
Natural Language Generation

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NLG is empowering analytics to drive innovation through a range of functions in the AI space.

The world is in awe of the pace at which the analytics landscape is advancing. 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.

NLG, a cutting-edge technology innovation, serves a range of impressive functions in the AI space. It enables machines to automatically transform structured data into easy-to-understand, humanized language. This technology thus allows users to generate millions of personalized narratives at scale within a matter of seconds. The advent of NLG is a massive boon to all business ventures, as it substitutes a host of human efforts and analyses, and provides highly relevant, consumable, and actionable information in a jiffy.

NLG is categorized under the language and cognition branch of AI wherein an intelligent machine can reason like a human being, identify nuanced relationships, and phrase complex sentences to report the deep hidden relationships between words. The narratives that are generated help users interpret data and visualizations in a ‘natural’ way and provide real-time analysis that can immediately be shared with others. NLG solutions can connect with any magnitude of structured data sources (enterprise DBs, Excels, Data Lakes), to instantly generate thousands of personalized reports.

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.

Data analytics and business intelligence tools are generally available only to managers and leaders. And one of the reasons for this is that datasets are complex and understandable by everyone. Humanizing analytics with NLG will make it possible for each and every employee to understand complex data structures through natural language. Humanizing analytics with NLG will scale data scientists to everyone and not just data scientists. Businesses can also assign any employee for analyzing different data so that they can utilize every bit of information. For instance, they can assign tasks of analyzing network data, log data, and geo-location data to different employees and not a single data scientist. This will help them to benefit from all the data collected by their enterprise systems. For example, analyzing networking data will help them measure the energy and resources spent on transferring data or the optimal bandwidth and latency required for streamlining data transactions between systems and servers.

Leveraging NLG for humanizing analytics will take data analytics to an entirely new level. And with every employee able to manipulate and understand data. This will lead to more innovative ways to streamline business processes and operations. But this will also raise cybersecurity concerns. Hence, they will have to find ways to scale data analytics and simultaneously enhance data security. If organizations can find a way to both scale analytics and secure data, then they can achieve their vision of becoming data-driven organizations.