WhizAI is the first and only purpose-built augmented consumer platform with pre-trained AI for life sciences, empowering users to get answers to their business questions by simply asking via voice, text on web and mobile.
This mobile client is an extension of the browser-based app, which allows field users to access insights into business data using natural language queries. whiz.ai responds to open-ended requests with the most applicable data and format: text, tables, graphs, reports, etc.
Sample data has been loaded in this application, which is available to everyone. In production, customized access is provided to specific data sets, granting customers last-mile connectivity to their enterprise data.
Users can make follow-on queries, change the data source, and update the context, which is dynamically formed based on previous queries. Visualizations can be saved under the "Pins" tab, creating custom dashboards on-the-fly.
Sample usage:
Enter your environment URL, e.g. demo.whiz.ai. Log in to the app. Open "chat" tab (should be opened by default) and send a query, i.e., "show me monthly sales trend for 2020 in CA and NY." In a few seconds, whiz.ai will deliver a response based on available data. The response will contain a line chart showcasing the data that you requested. Other examples of queries include "top 10 accounts by share,” "pie chart of average territory performance by district” and "goals report for the southwest district this year.”
whiz.ai keeps track of your conversation's context, so you don't have to repeat the same date, city, or product name in every question - it is all clear from the context. And if you want to start fresh - just reset the context.
This mobile client is an extension of the browser-based app, which allows field users to access insights into business data using natural language queries. whiz.ai responds to open-ended requests with the most applicable data and format: text, tables, graphs, reports, etc.
Sample data has been loaded in this application, which is available to everyone. In production, customized access is provided to specific data sets, granting customers last-mile connectivity to their enterprise data.
Users can make follow-on queries, change the data source, and update the context, which is dynamically formed based on previous queries. Visualizations can be saved under the "Pins" tab, creating custom dashboards on-the-fly.
Sample usage:
Enter your environment URL, e.g. demo.whiz.ai. Log in to the app. Open "chat" tab (should be opened by default) and send a query, i.e., "show me monthly sales trend for 2020 in CA and NY." In a few seconds, whiz.ai will deliver a response based on available data. The response will contain a line chart showcasing the data that you requested. Other examples of queries include "top 10 accounts by share,” "pie chart of average territory performance by district” and "goals report for the southwest district this year.”
whiz.ai keeps track of your conversation's context, so you don't have to repeat the same date, city, or product name in every question - it is all clear from the context. And if you want to start fresh - just reset the context.
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