8:45am – 9:00am	Registration
9:00am – 9:10am	Prof Peter Booth UTS Provost and SDVC Summit Welcome
9:10am – 9:20am	Prof Mary O’Kane NSW Chief Scientist & Engineer Opening Address
9:20am – 10:20am	Dr Usama Fayyad CDO, Barclay’s Bank Keynote Presentation :BigData, AllData, Old Data: Predictive Analytics in a Changing Data Landscape to Big Data, All Data, Old Data: Predictive Analytics in a Changing Data Landscape
10:20am – 10:45am	Dr Maria Milosavljevic CIO, Australian Crime Commission The Australian Crime Commission’s big data journey: past, present & future
10:45am – 11:10am	Morning Tea
11:10am – 11:35am	Prof Chuanrong Li Vice President， AOE, Chinese Academy of Sciences A New System of Earth Observation Data Sharing for Emergency Response
11:35am – 12:00am	Mr Michael Pain Managing Director, Accenture Digital Becoming Bold with Data Platforms
12:00pm – 1:00pm	Lunch and Showcase
1:00pm – 1:40pm	Prof Kai Lu Vice Dean, NUDT, China World Fastest Supercomputer and its Application in Data Analytics
1:40pm – 2:05pm	Dr Maninder Bhatia ATO Best Practices of Government Debt Analytics
2:05pm – 2:30pm	Mr James Foster Head of Marketing, SAS Australia SAS Latest Frontier in High Performance Analytics
2:30pm – 2:55pm	Mr Ashwin Sinha Director, KPMG Delivering actionable insights through data analytics and social media intelligence
2:55pm – 3:20pm	Mr Dhinakar Gunasekar Head Australia & New Zealand – Business Solutions Unit, Alliances & Technology Excellence, TCS Innovation and Global Trends in Digital Era
3:20pm – 3:40pm	Afternoon Tea
3:40pm – 4:45pm	Usama Fayyad CDO, Barclay’s Bank Cameron Meizer ATO,Australian Dr Maria Milosavljevic CrimeCommission, Australia Prof Kai Lu NUDT,China Michael Pain Accenture Digital Prof Longbing Cao UTS:AAi C Forum : Data Economy: Next-generation Innovation, Economy and Society Moderator : James Riley
4:45pm – 5:00pm	Host Summit Wrap Up
5:00pm – 6:15pm	Networking
6:15pm – 6:30pm	Dr Usama Fayyad Prof Longbing Cao Launch of ACM SIGKDD ANZ Chapter, etc.
6:30pm – 8:30pm	Speaker/Chair/OC Summit Dinner

This 2014 Big Data Summit on Tuesday 28 Oct 2014 will have two major sessions,

• The Summit
• C Forum on Data Economy

The Summit

This year of summit will see more than 10 keynote and invited presentations by world leading professionals, researchers and real-world players, which will cover broad big data analytics areas and domains including

• The world fastest supercomputer Tianhe-2 and its applications in analytics
• Government strategies, policies, and decisions about big data innovation, economy and industralization
• Latest advancement in data science innovation
• First-class practices in major banks for banking big data understanding
• Hands-on experience in exploring the largest insurance industry
• How advanced analytics save tens or hundreds of millions for government
• How complex tempo-spatial satellite data is understood to instantly identify natural disasters
• How social sentiment is developed and evolving in social media
• What are the latest and effective solutions to sort out headaches from CEO and CIO in competing with major market players

C Forum on Data Economy

The C Forum on Data Innovation, Insight and Economy is a premier forum to catch up with the busiest and most powerful decision-makers in the data economy and industralization, including “classic” drivers such as CEO, CTO, CIO and CFO, and more importantly the emerging authorities including Chief Data Officer and Chief Analytics Officer, to catch up with their thinking, insights, plans, challenges and strategies.

At this C Forum, you have chances to talk to world leaders from UK, France, China and Australia about topics such as

• Is data economy a new economy
• What makes the next generation of economy and industralisation
• What are the new business models, services, products and modes driven by big data
• How traditional business such as mining or manufacturing industries can benefit from using big data analtyics
• Where in the industry can benefit most from data-driven innovation and industralization
• Are the government and industry ready for utilising significant hidden values in big data
• What are the significant gaps in the decision-making processes for advancing data economy