The 2017 Summit Highlights
- Co-located with IJCAI2017
- 20th – 22th Aug 2017, Melbourne Convention and Exhibition Centre
- The 2017 theme: Artificial Intelligence & Data Science (AI/DS)
- Three day event: AI/DS Discipline Courses, Big Data Forum, AI/DS Executive Workshop
- World-class keynote speakers from global academic, industry and government communities
- An independent, cross-disciplinary, cross-business and academics platform to bridge the gaps between academia, industry and government
- The first forum in the Oceania region on big data, data science, analytics, and data economy, and innovation, established in 2012
- International and professional leadership, sponsored by the ACM SIGKDD Australian & NZ Chapter, co-sponsored by the Commonwealth Bank of Australia, Mathworks, and Macquarie University
- Co-organized by IEEE Task Force on Data Science and Advanced Analytics, IEEE Task Force on Behavioral, Economic and Socio-Cultural Computing, and the Advanced Analytics Institute at the University of Technology Sydney
20/8/2017, AI/DS Discipline Courses
- World top leaders in AI and DS as lecturers
- Global perspectives about major AI/DS disciplinary directions
- The very frontiers and grand challenges of Artificial Intelligence 2.0
- The very frontiers and grand challenges of Data Science
- The first AI/DS discipline course series in the Oceania region
21/8/2017, Big Data Forum
- The 5th Forum in big data, data science and analytics, and AI 2.0
- High profile speakers from academia, industry and government
- Advances in data science and artificial intelligence 2.0
- Best practices in data economy and intelligence economy
- Panel about Data Science: Scientific Revolution?
- Panel about Data/Intelligence: New Economy Engine?
- Meeting high profile leaders from various domains and regions
22/8/2017, AI/DS Executive Workshop
- Designed for enterprise executives and managers who lead AI/DS strategies and portfolio
- World-class industry and research leaders in AI and DS as mentors
- The very frontiers of Artificial Intelligence 2.0 and Data Science
- The global best practices of data and intelligence economy
- Real-life data analytics case studies in government services, insurance, banking, capital markets, etc.
- The vision and future of AI/DS and data/intelligence economy
- Data and intelligence-driven industrialization, enterprise, productivity, and decision
- Diagnosis of enterprise transformation and opportunities
- Private meeting opportunities with world leaders, peers and practitioners
