AI/DS Executive Workshop

Date: 22/8/2017
Venue: Melbourne Convention and Exhibition Centre (Meeting room 101, MCEC)
Time: 9:00AM – 5:00PM
AI/Data science Executive Workshop: best practice and real-life enterprise analytics case studies for data and business executives and managers to make informed and smarter decisions.

 22 Aug: AI/Data science Executive Workshop (Meeting room 101, MCEC)
Time Talk Speaker
08:30-09:00 Registration
09:00-09:10 Introduction Prof Longbing Cao
09:10-10:10 Machine Learning

Prof Geoff Webb 
Monash University, Australia

10:10-10:30 Morning Tea
10:30-11:30 Modern Analytics in the Insurance Industry

Dr Paul Beinat 
Neuronworks, Australia

11:30-12:30 Competencies and practices for data science-driven enterprise and innovation

Prof Longbing Cao 
University of Technology Sydney, Australia

12:30-13:30 Lunch
13:30-15:00 Enterprise Analytics: Better Practice Discussions Longbing Cao, Paul Beinat
15:00-15:30 Afternoon Tea

Who Should Attend:

  • Enterprise senior executives (including CDO, CAO, CDS, etc.)
  • Government information, data and analytics directors and managers
  • Head of data science, head of analytics, etc. for corporate analytics
  • Policy-making managers and directors
  • Head and managers of innovation and entrepreneurship
  • Business development directors
  • Senior consulting service directors and managers
  • Decision strategists


  • Designed for enterprise executives who lead AI/DS strategies and portfolio
  • The vision and future of AI/DS and data/intelligence economy
  • The big value, trends, and potential of data to economy and smart decision
  • The global perspectives, experiences, and best practices of data and intelligence economy
  • Informed decisions on enterprise-wide data decisions, solutions, practices and competency
  • Real problem-based deep analysis of enterprise transformation gaps, strategies and opportunities
  • Interactive and personalized mentoring, teamwork, case studies, arguments, and collaborations
  • World top industry and research leaders in AI and DS as mentors and collaborators
  • Collaborative work with senior peers from different domains and backgrounds
  • Data and intelligence-driven industrialization, enterprise, productivity, and decision
  • Competencies and capabilities for enterprise transformation
  • Private meeting opportunities with world top leaders

Tentative Program/Activities:

  • Values, benefits and impact of undertaking data science and big data analytics
  • Advances and trends of artificial intelligence 2.0
  • Advances and trends of data science
  • Data science for strategic enterprise and government transformation
  • Enterprise and government opportunities in data science/AI 2.0
  • Methodologies, methods, tools and skillset for undertaking data science/AI strategies and projects
  • Best practices for enterprise/corporate data science and big data analytics
  • Enterprise gap analysis in data science and intelligence economy
  • Building data maturity: data scientist capabilities and enterprise competencies
  • Development plan for staff and enterprise maturity of data science
  • Risk and trust management in data economy and industrialization
  • The good, bad and ugly of data/intelligence economy and transformation
  • Real-world enterprise case studies
  • Interactive and personalized mentoring, teamwork, case studies, and collaborations
  • Teamwork with senior peers from different domains and backgrounds
  • Lessons and experiences sharing between data leaders
Find more
Big Data Summit 2017