Industries across the world are undergoing fascinating change using analytics. AI and Machine learning technologies are enabling companies to provide immersive user experiences to their customers. Natural Language Generation(NLG), an AI-powered software process that transforms data into natural language is enabling conversation between humans and machines.
NLG has been regarded as a cutting edge innovation that enables machines to automatically convert structured data into easy to understand humanized language. This innovation also helps users to generate millions of personalized narratives within a few seconds. Thus, NLG is considered as a boon to business ventures, as it substitutes human efforts and analysis and provides highly relevant and actionable insights within a fraction of time.
NLG has been classified under the cognition and language branch of Artificial Intelligence involves an intelligent machine programmed to reason like humans, analyze variations, and phrase sentences to report hidden patterns and relations between words. The narratives generated help users to interpret and visualize data in a natural way and provide real-time analysis that can be shared with others. It can connect with structured data from sources such as data lakes, excel, databases, and generate personalized reports instantly.NLG technology, the new analytics solution helps users to interact with data just as we do a simple search in Google thereby streamlining the process of data analysis.
Data analytics and business intelligence tools are generally available to managers and data scientists due to the complexity of data interpretation. Integrating NLG technology with analytics helps each employee to understand the complex data set through natural language. Businesses can also make the best use of their employees, not just data scientists to analyze data such as the analysis of network data, log data, and location data so that every bit of information is utilized.
Thus humanizing analytics using NLG technology will take data analytics to a greater level where every employee can understand and interpret data. This provides innovative ways for organizations to streamline their operations. But at the same time, it raises concerns about data security. Thus organizations need to find ways to humanize analytics using NLG and enhancing data security simultaneously to achieve their vision of becoming a data-driven organization.
