The Automatic Accountant: Difference between revisions
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Client: Mark Parsons at [[Cambridge Enterprise]] would be interested for 2022 | |||
The Automatic Statistician is a system created by Zoubin Gharamani and colleagues that looks for interesting patterns in data sets (by fitting Gaussian process models), and then automatically generates a research paper, including charts and natural language texts, describing the patterns that it finds. Financial accounting data is relatively constrained in its format, so it should be more straightforward to create an AI system that automatically generates professional-looking reports on a company’s performance, including some audit capabilities that work by recognising statistical anomalies. | The Automatic Statistician is a system created by Zoubin Gharamani and colleagues that looks for interesting patterns in data sets (by fitting Gaussian process models), and then automatically generates a research paper, including charts and natural language texts, describing the patterns that it finds. Financial accounting data is relatively constrained in its format, so it should be more straightforward to create an AI system that automatically generates professional-looking reports on a company’s performance, including some audit capabilities that work by recognising statistical anomalies. |
Revision as of 16:55, 6 November 2020
Client: Mark Parsons at Cambridge Enterprise would be interested for 2022
The Automatic Statistician is a system created by Zoubin Gharamani and colleagues that looks for interesting patterns in data sets (by fitting Gaussian process models), and then automatically generates a research paper, including charts and natural language texts, describing the patterns that it finds. Financial accounting data is relatively constrained in its format, so it should be more straightforward to create an AI system that automatically generates professional-looking reports on a company’s performance, including some audit capabilities that work by recognising statistical anomalies.