University of Technology, Sydney
In Australia, the University if Technology Sydney (YTS) is recognized as the leader in data analytics. The Advanced Analytics Institute (UTS: AAI), as a university research institute, has been working on building an international collaborative network across Australia, China, India, Europe and North Amerca, and a local big data Industrial transformation hub for innovation, education and services in data science, big data analytics, and data economy in Australia, Asia Pacific regions and globally.
Taking a market-driven and cross-disciplinary approach, UTS: AAI) synergies high quality Research with high caliber analyst Education, and high impact Development (RED). UST: AAI founded the globally first analytics degrees: Master of Analytics (Research), and PhD Thesis: Analytics, UTS:AAI offers a collection of short courses and corporate training workshops.
UTS: AAi was the only Australian research institution specifically mentioned in the Australian commonwealth’s first paper on big data, and the ABC’s interview on big data. UTS: AAi is helping many tier-one industry and government organizations with building and enhancing their capabilities, competency, innovation, and productivity in increasingly competitive market and complex environment.
UTS: AAi is a foundational sponsor and the host of Secretariat of the annual Summit.
The Personalisation of Big Data
Usama Fayyad is one of the founding fathers of data mining. This is the ability to find surprise patterns in large data sets. Previously, he served as the Chief Data Officer at Yahoo. He is co-founder and chairman of startup ChoozOn allowing individuals to create their own personal deal networks finding only the most relevant and timely deals for that individual.
Keynote Speaker
Usama M. Fayyad
Chairman & CTO of ChoozOn Corporation/Blue Kangaroo. Bio:
Usama M. Fayyad, Ph.D. is Chairman & CTO of ChoozOn Corporation/Blue Kangaroo. Up until September 2008, he was in Sunnyvale, CA as Yahoo’s chief data officer & Executive VP responsible for Yahoo!’s global data strategy, policies and systems, investments, and data analytics and infrastructure which processed over 25 Terabytes of data per day. Fayyad also founded and managed the Yahoo! Research Labs and several companies. He is a fellow of the AAAI (Association for Advancement of Artificial Intelligence) and a fellow of the ACM (Association of Computing Machinery). He is ACM SIGKDD’s Chairman which runs the world’s premiere data science, big data, and data mining conferences: KDD, and was founding editor-in-chief of SIGKDD Explorations Newsletter.
Topic: The What, Why, How of Big Data: Opportunities in On-line Predictive Analytics
Virtually all organizations are having to deal with Big Data in many contexts: marketing, operations, monitoring, performance, and even financial management. Big Data is characterized not just by its size, but by its Velocity and its Variety for which keeping up with the data flux, let alone its analysis, is challenging at best and impossible in many cases. In this talk I will cover some of the basics in terms of infrastructure and design considerations for effective an efficients BigData. In many organizations, the lack of consideration of effective infrastructure and design consideration of effective infrastructure and data management leads to unnecessarily expensive where Map-Reduce (Hadoop and and its derivatives) are appropriate and the situations where other infrastructure is needed to perform segmentation, prediction, analysis, and reporting appropriately – these being the fundamental operations in predictive analytics. We will then pay specific attention to on-line data and the unique challenges and opportunities represented there. We cover examples of Predictive Analytics over Big Data with case studies in eCommerce Marketing, on-line publishing and recommendation systems, and advertising targeting, and we conclude with some case studies in Social Network data.
Brian Pink, Australian Statisticians, Australian Bureau of Statistics. Bio:
Brian took up his appointment as Australian Statistician on Monday, 5 March 2007. His career in official statistics is a long one, starting in Australia with the then Commonwealth Bureau of Census and Statistics in Sydney in 1966. He was Government Statistician and Chief Executive of Statistics New Zealand from late October 2000 to 2 March 2007. He us Chairman of the OECD Committee on Statistics, Chair of the Statistics Committee of ESCAP and Vice Chair of the United Nations Statistical Commission. Back home he is an ex officio member of the Australian Statistics Advisory Council and Australian Electoral Commissioner. Brian is passionate about the importance of the role of official statistics in society. Brian has been instrumental in championing a significant information management transformation program to prepare the ABS, the NSS and the international statistical community to meet the growing challenges of providing information, which will be needed by policy makers, government and business in the future.
Topic: Big Data and Official Statistics – Some Observations
Phillip S Yu. Professor and Wexler Chair in Information Technology, University of Illinois at Chicago. Bio:
Phillip S. Yu is currently a Professor in the Department of Computer Science at the University of Illinois at Chicago and also holds the Wexler Chair in Information Technology. He spent most of his career at IBM Thomas J. Watson Research Center and was manager of the Software Tools and Techniques group. His research interests include big data, data mining, privacy preserving data publishing, data stream, social networking, and database systems, Dr. Yu has published more than 730 papers in refereed journals and conferences with an h-index of 100. He holds or has applied for more than 250 US patents. Dr. Yu is a fellow of the ACM and the IEEE. He is the Editor-in-Chief of ACM Transactions on Knowledge Discovery from Data.
Topic: On Mining Big Data
The problem of big data has become increasingly importance in recent years. On the one hand, the big data is an asset that potentially can offer tremendous value or reward to the data owner. On the other hand, it poses tremendous challenges to realize the value out of the big data. The very nature of the big data poses challenges not only due to its volume, and velocity of being generated, but also its variety and veracity. Here variety means the data collected from various sources can have different formats from structured data to text to network/graph data to image, etc. Veracity concerns the trustworthiness of the data as the various data sources can have different reliability. In this talk, we will discuss these issues and approaches to address them.
Agenda
Thursday 11 April 2013. Venue: Hotel Rasim. Big DATA Canberra Forum
7:30 am to 8:45 am
Analytics Breakfast Hosted by UTS Deputy Vice Chancellor (Research)) Attila Brungs
Chair Usama Fayyad (introduced by Longbing CAO, Director AAI)
9:00 am to 9:10 am
UTS DVC (Research) Attila Brungs
9:10 am to 10:10 am
Big DATA Opportunities and Trends by Usama Fayyad
Chair Longbing CAO
10:10 am to 10:30 am
Morning Tea & Networking
10:30 am to 11:10 am
Advanced Analytics & Collaborative Opportunities by Longbing CAO
Chair Mary-Anne Williams
11:10 am to 12:00 pm
Brian Pink Australian Statistician
Chair Mary-Anne Williams
12:00 pm to 12:15 pm
Wrap Up and Close Longbing CAO
Chair Mary-Anne Williams
12:15 pm to 1:30 pm
Lunch Demonstration – AAI Showcase
Chair AAI Staff / Students
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