by Mourad Nizar, CISA, Director, Professional Practices and Data Analysis Division, Canada Revenue Agency; Jasbir Singh, CISA, Project Leader, Data Analysis Innovation, Canada Revenue Agency; and Francis Hamel, Director, Data Services and Analysis, Public Service Commission of Canada
The digital age has created an abundance of raw data, which could potentially be turned into a useful asset for organizations. The biggest challenge to leverage this fabulous asset is unstructured textual data like interview notes, web articles, and text within any document or email. To extract value manually from unstructured data could be labor‑intensive and time‑consuming.
The Canada Revenue Agency uses a form of artificial intelligence — natural language processing — to analyze high volumes of this unstructured, textual data and can turn it into valuable audit tools and information.Read the Article