DataHour: NLP Interaction with Power BI

Natural Language Processing (NLP) is a field of artificial intelligence that deals with the interaction between computers and human languages. It involves the use of algorithms and machine learning techniques to process and analyze natural language data, such as text and speech. There are several ways you can use NLP in conjunction with Power BI, a business analytics service provided by Microsoft. Some examples include: 

• Text analysis: You can use NLP techniques to analyze the text in your Power BI datasets and extract insights from it. For example, you can use text analysis to identify key themes or sentiments in customer reviews, or to classify text data into different categories.
• Voice-enabled dashboards: You can use NLP and speech recognition technologies to enable voice interactions with your Power BI dashboards. This can allow users to ask questions and get answers using natural language, rather than having to navigate through the dashboard manually.
• Predictive analytics: You can use NLP and machine learning techniques to build predictive models that can help forecast future outcomes or trends based on your Power BI data.

In this DataHour, Munmun will explain how NLP can be used for enhancing the functionality and usability of Power BI and derive more value from your data.

Prerequisites: Basic understanding of Power BI and enthusiasm of learning Data Science.

Munmun is a professional and research scholar with 16 + years of experience in Software Project Management, Product development, Product strategy, and delivery of large-scale, complex automation/transformation solutions, web and mobile applications. She has also mentored industry tech-force as an Industry Speaker, Corporate Mentor, and Guest Lecturer. She has implemented handshaking projects on RPA with Dot Net web applications and successfully built on-demand RPA.