Big Data Expo 2019 starts to collect forum schemes from across world

Updated: January 16, 2019 Source: Belt and Road Portal
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To show the professional, leading and international features of forums during Big Data Expo 2019, with the goal of delivering a high-level and high-quality event, the Organizing Committee of Big Data Expo 2019 has extensively collected forum schemes from renowned domestic and foreign institutions, universities, enterprises and industrial associations. All intending entities may visit the official website of Big Data Expo from the day on to declare schemes.

Big Data Expo has been held successfully four times since its inauguration in 2015 and was upgraded to a national exhibition in 2017. This year, under the principle of "high end, professionalism, internationalization, marketization", the forum group of Big Data Expo will collect forum schemes from across the world, duly sort out collect schemes, evaluate schemes, and select a number of international, professional, high-level and high-quality schemes. The non-profit organizations whose forum schemes have been selected will win the bid to host the forums during Big Data Expo 2019. The Organizing Committee will give corresponding extra support in accordance with relevant regulations. Final results are expected to be announced on the official website of Big Data Expo in late March.

Twenty-five professional forums will be planned for Big Data Expo 2019. Benchmarked by the law of big data development, the forum will extend to multiple dimensions such as macro strategic trend, core technology orientation, industry integration application and win-win cooperation. The Organizing Committee will collect 4-6 forums related to high-level dialogues in the aspects of "digital economy, technical innovation, data security, integrated development and cooperation & exchange" each, and set forums on national policies, academic research and industrial application, to integrate high-level dialogues with professional forums. The forums will feature the integration of professionalism with marketization, and be organized by representative professional institutions, associations and enterprises. For other collection requirements, please visit the relevant page of the official website of Big Data Expo.

Editor: 曹家宁