Appen Limited has achieved ISO/IEC 27001:2013 accreditation for its facility in Cavite, Philippines to meet the rapidly growing demand for human-annotated datasets used by companies worldwide to train machine learning and artificial intelligence (AI) applications.

The facility was established to ensure commercial confidentiality and better support privacy management. Globally recognized, the ISO/IEC 27001:2013 standard defines the requirements for an Information Security Management System (ISMS), and a process-based approach for establishing, implementing, operating, monitoring, maintaining and improving the ISMS.

ISO/IEC 27001:2013 accreditation underpins Appen's ability to work on datasets for clients that contain personally identifiable information data that could potentially identify a specific individual as well as other sensitive material, such as data related to new product development.

Appen's facility in the Philippines gives clients enhanced options to scale their AI programs with the assurance that their sensitive data and projects will remain secure, said Mark Brayan, Appen's chief executive officer. It's the perfect complement to our high-security facility in the U.K., and is an important part of our suite of secure at- home and in-facility solutions.

Appen works with the world's leading technology companies, as well as firms across all industries to provide high- quality data for their machine learning programs. Appen's suite of secure solutions includes secure facilities as well as secure remote worker options designed to scale customers' machine learning programs while maintaining data privacy. Use case examples range from voice recognition in smart speakers to geospatial analysis in self-driving cars, to intelligent search and online advertising results.

Industry analysts estimate the data collection and annotation market will be worth up to $19 billion approximately 10% of the overall AI market by 2025. The explosive growth is attributed to the need for high volumes of annotated data that are required to improve AI algorithm accuracy. Today, approximately one-third of AI applications require frequent or...

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