A Revolutionary Big Wisdom Framework First of Its Kind, Rises at IEEE ICDM 2018
BEIJING, Nov. 26, 2018 /PRNewswire/ -- The 18th IEEE International Conference on Data Mining (ICDM 2018) closed with great success on November 20, 2018, in Singapore. One of the highlights of this year's conference was the opening keynote speech entitled On Big Wisdom, presented by Prof. Xindong Wu, a world-renowned Data Mining and Artificial Intelligence scholar. At his speech, Prof. Wu introduced a brand-new HAO/BIBLE Framework he co-developed with Minghui Wu, the founder and chairman of MiningLamp Software Systems (Beijing), which defines and illustrates Big Wisdom, and lays the theoretical cornerstone for cutting-edge Industrial Artificial Intelligence.
Prof. Wu was formerly Director of the School of Computing and Information at the University of Louisiana. He is a Fellow of the IEEE and the AAAS. Earlier this year, he joined MiningLamp Software Systems (Beijing) under the invitation of the company founder Minghui Wu, to steer the newly-established MiningLamp Academy of Sciences (MAS) as its President. MiningLamp is a rising industrial AI solutions company in China, and it is known as the Chinese version of Palantir with very promising ambitions. The establishment of MAS is yet another visionary attempt of the company to seek breakthroughs for the applications of industrial AI in China with the help of fundamental research, and the leadership of Prof. Wu brings every prospect of success.
In his keynote speech at ICDM 2018, Prof. Wu defined the HAO/BIBLE framework of Big Wisdom as the integration of human intelligence (HI), artificial intelligence (AI) and organizational/business intelligence (O/BI) with Bigdata analytics in Large Environments; it is a guideline for building industrial intelligence in organizational activities. Big Wisdom starts with Bigdata, discovers Big Knowledge, and facilitates human and machine synergism for complex problem solving. When the HAO/BIBLE framework is applied to a regular (non-Bigdata) environment, it becomes the well-known PEAS agent structure, and when the knowledge graph in HAO/BIBLE relies on domain expertise (rather than Big Knowledge), HAO/BIBLE serves as an expert system.
Prof. Wu also mentioned that under the guidance of HAO/BIBLE framework, MiningLamp and MAS have experimented Big Wisdom for several of MiningLamp's industry clients in China, including a number of Public Security offices, financial institutions, railway/subway operations companies, government departments in charge of 'Digital City' design, etc.
Photo - https://photos.prnasia.com/prnh/20181126/2308693-1-a
Photo - https://photos.prnasia.com/prnh/20181126/2308693-1-b
Share this article