SOTI Snap Analytics
Currently, data analytics services are not only expensive, but also often require days of delay for the data analytics report to be generated. The project focuses on making use of a user’s voice query as an input to create a data analytics response by aggregating data from a database. The successful implementation of the project suggests a novel way of providing data analytics services which significantly improves its accessibility. For example, if a user asks “What is my company’s revenue in the last two months?”, the model should be able to handle the query and automatically create an analytic response. To achieve such performance, the model needs to understand the semantics of query and knows how to identify and assemble desired data in a database.
View Full Project DescriptionScott Sanner
SOTI Inc
Computer science
Information and cultural industries; Professional, scientific and technical services
University of Toronto
Accelerate
