• Huawei Workshop

    • ModelArts, Refining AI for the Intelligent World

       
      ModelArts is a one-stop development platform for AI developers. With data preprocessing, semi-automated data labeling, distributed training, automated model building, and on-demand model deployment on the device, edge, and cloud, ModelArts helps AI developers quickly build models and efficiently manage the AI development lifecycle.
       
      ModelArts covers all stages of AI development, including data processing and model training and deployment. The underlying technologies of ModelArts support various heterogeneous computing resources, allowing developers to flexibly select and use resources. In addition, ModelArts supports popular open source AI development frameworks such as TensorFlow and MXNet. Developers can also use self-developed algorithm frameworks to match their usage habits.
       
      ModelArts aims to simplify AI development.
       
      Target Audiences:- ModelArts is suitable for AI developers with varying levels of development experience. - Service developers can use ExeML to quickly build AI application without coding. - Beginners can directly use built-in algorithms to build AI applications. - AI engineers can use multiple development environments to quickly compile code for modeling and application development.
       
      Workshop Agenda:-
      1. Huawei HealthCare EI and Project reference case introduction. (30 minutes) – By Dr. Qiao Nan
      2. Basic functions of ModelArts. (20 minutes) – By Tang Xiao Yue
      3. Demonstrate the development process of a HealthCare AI project based on ModelArts Notebook Instance (40 minutes) – to be confirmed

    • Speaker

      Dr. Qiao Nan

      Chief Scientist, HUAWEI CLOUD Healthcare

      Dr. Qiao Nan received his Ph.D. in bioinformatics from the Chinese Academy of Sciences. After his Ph.D., he joined Novartis Pharma to develop anticancer drugs by analyzing the genome of cancer. During his work at Novartis Pharma, he made significant contributions to the research and development of anticancer drugs. Winner of the Novartis Teamwork Award and the Novartis Preferred Award. He joined Accenture in 2015 and became the chief scientist of Accenture China and led the establishment of the Accenture China Artificial Intelligence Laboratory. Accenture AI Labs has developed a wide range of AI assets and solutions by combining advanced AI capabilities with specific cases from different industrial sectors. Joined HUAWEI CLOUD in 2019 and became the Chief Scientist of HUAWEI CLOUD Healthcare. He was responsible for developing AI products, services, and solutions for the healthcare industry.

      Tang Xiao Yue

      Cloud Solution Architect, Singapore Cloud Business

    SINGAPORE HEALTHCARE AI DATATHON AND EXPO 2021

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