maadaa passes the ISO/IEC 27001
information security management system certification
AI competition = data competition
This round of “AI technology innovation with deep learning as the core” has created a new AI dataset market.
According to a report by the McKinsey Global Institute, AI data investment will account for 10% of AI investment; with the global AI data set market expected to exceed $10 billion by 2025[i].
In their annual report on an American AI consultancy firm determined that as much as 80% of the total time spent on AI projects was dedicated to AI data preparation and engineering tasks.
This is not to be unexpected; the machine learning model at the core of AI follows a general rule of “Garbage in, Garbage out,” which suggests that even with the most powerful computing platform supported by leading algorithm experts and advanced models, it’s hard to get an AI solution that is applicable to business scenarios without enough high-quality training and testing data sets.
As the cost of open source and computing platforms for AI algorithm models falls rapidly, industry customers are realizing that the key first step in achieving a successful AI transformation is in prioritizing data; establishing AI technology leadership by building large-scale, high-standard, high-quality data set assets.
AI Data Security and Privacy: Industry Standards
The standardization of AI data security and privacy has become key to the healthy and sustainable development of the AI industry, and the standardization of data security and privacy in the international arena is advancing rapidly.
ISO/IEC 27001 is derived from BS7799, a standard for information security management developed by the British Standards Institute (BSI), which dates back to 1995. ISO/IEC 27001 is a standard specification of Information Security Management Systems (ISMS), defining the requirements for establishing, implementing and maintaining an Information Security Management system. It has become the most widely used and typical Information Security Management standard in the world.
Since its formation, maadaa has taken the systematic management of data security and privacy as a foundational principle of its core competitiveness. After serving successfully hundreds of industry customers, maadaa has produced a “4D principles” of commercial AI data set evaluation:
Quantity: In the algorithm research and development stage, to ensure the large-scale quantity;
Quality: Minimizes data noise during the scenario-based optimization phase;
Process management: able to control progress in real time and dynamically adjust requirements;
Deep customization: Based on deep understanding of algorithms, data, and scenarios.
Through successful cooperation with dozens of multinational companies, maadaa has established a standardized internal and external data security management mechanism. The successful passing of ISO/IEC 27001 information security management system certification will set maadaa apart as a company representing AI of the highest ethics and providing safe and professional AI data services and products for customers worldwide.
As is a key player in AI industry chain, maadaa providing professional data services from AI data collection, data processing, data annotation to text, voice, picture, video and audio data management.
maadaa’s customers are from a broad range of typical AI application industries and scenarios such as security, mobile phones, autonomous driving, e-commerce, retail, Internet entertainment, search, finance, education, medical care, transportation, and agriculture.
[i] Institute, M. K. G. (2017). Artificial intelligence: the next digital frontier?. Information Security and Communications Privacy.