Privacy Attacks against Data and AI Models (Part 3)

Attacks on AI Models

Webinar: Data Privacy in Healthcare Friday, April 19th – 1pm EST Sign up now Privacy Attacks against Data and AI Models Part 1 of this series covers the benefits of AI models in healthcare and the data sources available for training such models. Part 2 addresses privacy compliance challenges as well as challenges surrounding privacy-preserving … Read more

Risks of Noncompliance and Challenges around Privacy-Preserving Techniques (Part 2)

Safeguarding Health Data

Webinar: Data Privacy in Healthcare Friday, April 19th – 1pm EST Sign up now Risks of Noncompliance and Challenges around Privacy-Preserving Techniques Despite the promising signs of AI used in healthcare that we explored in Part 1 of this series, ethical concerns persist regarding the potential misuse of these innovations and safeguarding health data. For … Read more

Benefits of AI in Healthcare and Data Sources (Part 1)

Safeguarding health data used in Machine Learning

Webinar: Data Privacy in Healthcare Friday, April 19th – 1pm EST Sign up now Benefits of AI in Healthcare and Data Sources AI has already brought marvellous advancements in the healthcare sector but awareness is on the rise around the risks associated with it as well. In this series of posts, we are concerned with … Read more

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Language Packs

Expand the categories below to see which languages are included within each language pack.
Note: English capabilities are automatically included within the Enterprise pricing tier. 

French
Spanish
Portuguese

Arabic
Hebrew
Persian (Farsi)
Swahili

French
German
Italian
Portuguese
Russian
Spanish
Ukrainian
Belarusian
Bulgarian
Catalan
Croatian
Czech
Danish
Dutch
Estonian
Finnish
Greek
Hungarian
Icelandic
Latvian
Lithuanian
Luxembourgish
Polish
Romanian
Slovak
Slovenian
Swedish
Turkish

Hindi
Korean
Tagalog
Bengali
Burmese
Indonesian
Khmer
Japanese
Malay
Moldovan
Norwegian (Bokmål)
Punjabi
Tamil
Thai
Vietnamese
Mandarin (simplified)

Arabic
Belarusian
Bengali
Bulgarian
Burmese
Catalan
Croatian
Czech
Danish
Dutch
Estonian
Finnish
French
German
Greek
Hebrew
Hindi
Hungarian
Icelandic
Indonesian
Italian
Japanese
Khmer
Korean
Latvian
Lithuanian
Luxembourgish
Malay
Mandarin (simplified)
Moldovan
Norwegian (Bokmål)
Persian (Farsi)
Polish
Portuguese
Punjabi
Romanian
Russian
Slovak
Slovenian
Spanish
Swahili
Swedish
Tagalog
Tamil
Thai
Turkish
Ukrainian
Vietnamese

Rappel

Testé sur un ensemble de données composé de données conversationnelles désordonnées contenant des informations de santé sensibles. Téléchargez notre livre blanc pour plus de détails, ainsi que nos performances en termes d’exactitude et de score F1, ou contactez-nous pour obtenir une copie du code d’évaluation.

99.5%+ Accuracy

Number quoted is the number of PII words missed as a fraction of total number of words. Computed on a 268 thousand word internal test dataset, comprising data from over 50 different sources, including web scrapes, emails and ASR transcripts.

Please contact us for a copy of the code used to compute these metrics, try it yourself here, or download our whitepaper.