2. The option of using a natural language interface to complete analysis, while also providing more API-driven, automated approaches to data analysis.
“IBM’s Watson natural language interface is the most well-known among the crowd and one people choose often,” Columbus explains. “However, there are many smaller, faster-moving companies that are breaking new ground today by using NLP. Amazon QuickSight, Attivio, Endor and Microsoft Power BI are examples of business analytics tools that are actively developing applications. They use NLP and Natural Language Generation (NLG) responses for queries. These advanced business analytics tools don’t require a data scientist to get them running either.”