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By default, AIDI is trained to identify basic data types (cities, phone numbers, email addresses, and so on), but as you use it, you yourself, without noticing it, will teach it to recognize more and more new types of data, and you do not need to be programmer.
Below are some of the uses for AIDI:
|Data Type||Examples of data|
|First name||Kevin; Mike; Alena; Ivan …|
|Second name||Stivens; Sidorov; Watson …|
|Web address (URL)||https://google.com/ …|
|Geographic address||221B Baker Street …|
|Phone number||+375-29-111-12-34; +1(22) 446 45 22 11 …|
|Country||Belarus; USA; China; PLN …|
|State||Texas; Arkansas; California …|
|City||London; Warsaw; Oslo; NY …|
|Name of the company (organization)||Google Inc; Novartis Pharma …|
|Date / Time||2020.12.18 15:44, 2012.03.15|
|Profession||Doctor; System Administrator …|
|Process statuses||Completed; Planned; Waiting for support …|
|Currencies||BYN; Rubl; USD; Dollar USA …|
|Time intervals and frequency||Days; weeks; years; monthly …|
With each new update of AIDI, the standard set of recognized data types, as well as the quality of data identification, will grow.
Thus, you can easily train AIDI to recognize almost any type of data.
For example, it can handle identifying the following content in database cells:
Data identification processes as well as additional training for your AIDI are closely related. In the process of solving your work tasks, AIDI will adjust its work, fix errors and improve its qualifications based on your assessments of its work.
Thus, the process of improving the quality of AIDI’s work is ongoing. AIDI independently tracks its mistakes, seeks to understand them and improve the quality of its work.
In this case, your participation is reduced only to a convenient verification of the quality of its work in a few mouse clicks.
A few mandatory quality requirements are imposed on the learning process, as well as its results. Compliance with these requirements is monitored by the system automatically. For example, these include:
Based on the results of the identification carried out, the system generates a consolidated report that informs the user (operator) about which classifications it suggests attributing certain data. The user’s task is to validate this data and tick the correctly identified data.
Still have questions?
Or maybe you are already interested in using this product or investing in it?
Then contact us at this email address: firstname.lastname@example.org