Tokyo, Japan – Thursday, 4th November – Appen Limited, the leading provider of high-quality training data for organizations that build effective AI systems at scale, today announced the expansion of a growing team in Japan aimed at helping organization deploy responsible artificial intelligence and machine learning models. Shuichiro Kamitake, who has been appointed President and CEO, has rich experience in business development in manufacturing and financial industries at global technology companies such as IHS Markit, Box, and Oracle.
Appen – based in Sydney, Australia with offices worldwide – deploys the industry’s most advanced AI-assisted data annotation platform, working with a global crowd of over 1 million skilled contractors speaking over 235 languages, in more than 170 countries. Leveraging technology, expertise, and the global crowd, Appen gives leaders in technology, automotive, financial services, retail, healthcare, and governments the confidence to deploy world-class AI products. In 2019, Appen launched its crowd code of ethics and is a global champion for Responsible AI, working with leading organizations such as the World Economic Forum to raise awareness on the ethical implications of each step along the AI supply chain.
“Artificial Intelligence in Japan is set to see exponential growth. With 20+ years’ of the experience across a variety of industries as a pure-play training data provider, Appen is excited to partner with Japanese organizations to unlock the value of the data and scale the AI”, said SVP of Appen, Roc Tian.
Also, Japan’s representative, Shuichiro Kamitake, stated that Japan is facing social issues such as a declining and aging population, and needs artificial intelligence support more than any other country in the world. I am convinced that the dissemination of high quality training data will accelerate the development of artificial intelligence in Japan.
According to the IDC, the Japan market is expected to see 25.5% growth by 2025. Appen is strategically positioned to support this growth. In the Japanese market, partnerships with consulting firms, system integrators, and AI developers are essential, and we will reflect this in our channel strategy to strengthen our relationships with them. We will also further strengthen our partnerships with technology and automotive companies with which Appen already has effective relationships.
About Appen’s data annotation platform:
The Appen data annotation platform combines human intelligence from over one million people all over the world with cutting-edge models to create the highest-quality training data* for your machine learning projects. By uploading your data to our platform, Appen provides the annotations, judgments, and labels that clients need to create accurate ground truth for your models. High-quality data annotation is key for training any AI/ML model successfully. Appen’s platform combines human intelligence at scale with cutting-edge models and efficient tools to annotate all sorts of raw data, from text, to video, images, audio and 3D point cloud. The workflow on the platform can be defined in very flexible way to accommodate multiple resource teams’ collaboration. The platform supports end to end delivery, from data upload to final ground truth delivery review, everything can be done online.
* Training data: Labeled data used to teach AI models or machine learning algorithms (MLA) to make proper decisions.
About Appen Limited
Appen (https://appen.co.jp/) collects and labels images, text, speech, audio, and video used to build and continuously improve the world’s most innovative artificial intelligence systems. With expertise in more than 180 languages, a global crowd of over 1 million skilled contractors, and the industry’s most advanced AI-assisted data annotation platform, Appen solutions provide the quality, security, and speed required by leaders in technology, automotive, financial services, retail, manufacturing, and governments worldwide. Founded in 1996, Appen is currently supporting a number of clients from its Australian headquarters as well as offices in the United States, United Kingdom, Philippines, China and Japan.
