The Automatic Accountant: Difference between revisions
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Client: Alfonso Fernandez Stuyck, [[ | Client: Alfonso Fernandez Stuyck, [[QoKoon]] <alfonso@qokoon.com> | ||
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. These reports can then used by CEOs, board of directors and investors to understand the company’s performance and make better strategic decisions. | 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. These reports can then used by CEOs, board of directors and investors to understand the company’s performance and make better strategic decisions. | ||
Revision as of 18:04, 29 October 2020
Client: Alfonso Fernandez Stuyck, QoKoon <alfonso@qokoon.com>
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. These reports can then used by CEOs, board of directors and investors to understand the company’s performance and make better strategic decisions.
