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Insights you won't find anywhere else, brought directly to you.
Insights you won't find anywhere else, brought directly to you.
AI is changing how people work, redefining the way businesses operate, and transforming entire industries. Ethical AI can be leveraged to amplify community equity. In this session join Matt Ensor, Business Director in Advisory Services at Beca and Ross Farrelly, Data Science & AI leader at IBM ANZ, as they discuss Beca’s recent work to develop a Samoan language chatbot which gives a voice to sectors of the NZ community which often struggle to be heard in the government decision making process - amplifying community equity through natural language and culturally appropriate approaches.
Speakers:
Matt Ensor, Business Director in Advisory Services, Beca
Ross Farrelly, Segment Leader Data Science & AI, IBM
October 13 | 11:30 - 11:55
AI is changing how people work, redefining the way businesses operate, and transforming entire industries. Ethical AI can be leveraged to amplify community equity. In this session join Matt Ensor, Business Director in Advisory Services at Beca and Ross Farrelly, Data Science & AI leader at IBM ANZ, as they discuss Beca’s recent work to develop a Samoan language chatbot which gives a voice to sectors of the NZ community which often struggle to be heard in the government decision making process - amplifying community equity through natural language and culturally appropriate approaches.
Speakers:
Matt Ensor, Business Director in Advisory Services, Beca
Ross Farrelly, Segment Leader Data Science & AI, IBM
Speaker:
Andrew McMullan, Chief Analytics Officer, Commonwealth Bank of Australia
As we think about the future of creating data-driven business strategies and applications, we hear a lot of conversation of cloud but how do you bring the conversation back to the outcome and not the platform?
Moderator:
Dr Liz Dallimore, Director, WA Data Science Innovation Hub
Panelists:
Andrew McMullan, Chief Analytics Officer, Commonwealth Bank of Australia
Cindy Maike, Global VP Industry Solutions, Cloudera
Bobby Shaik, Head of BI – Data & Analytics, Vodafone
October 13 | 12:20 - 12:55
As we think about the future of creating data-driven business strategies and applications, we hear a lot of conversation of cloud but how do you bring the conversation back to the outcome and not the platform?
Moderator:
Dr Liz Dallimore, Director, WA Data Science Innovation Hub
Panelists:
Andrew McMullan, Chief Analytics Officer, Commonwealth Bank of Australia
Cindy Maike, Global VP Industry Solutions, Cloudera
Bobby Shaik, Head of BI – Data & Analytics, Vodafone
Speaker:
Dr Siamak Tafavogh, Head of Business Insights Group, CBHS Health Fund Ltd.
This session asks what progress can be made in light of this current climate, with emerging strategies and methods for innovation.
Moderator:
Kathryn Gulifa, Chief Data & Analytics Officer, WorkSafe Victoria
Panellists:
Brett Woolley, Head of Data Strategy and Governance, QBE Insurance
Andrew Hinde, GM Sales ANZ, Privitar
Florence La Carbona, Head of Data, MetLife Australia
October 14 | 11:30 - 12:05
This session asks what progress can be made in light of this current climate, with emerging strategies and methods for innovation.
Moderator:
Kathryn Gulifa, Chief Data & Analytics Officer, WorkSafe Victoria
Panellists:
Brett Woolley, Head of Data Strategy and Governance, QBE Insurance
Andrew Hinde, GM Sales ANZ, Privitar
Florence La Carbona, Head of Data, MetLife Australia
Advanced data science techniques, like machine learning, have proven an extremely useful tool to derive valuable insights from existing data. Platforms like Spark, and complex libraries for R, Python and Scala put advanced techniques at the fingertips of the data scientists. However, these data scientists spend most of their time looking for the right data and massaging it into a usable format. Data virtualization offers a new alternative to address these issues in a more efficient and agile way.
Attend this session to learn how companies can use data virtualization to:
Speaker:
Chris Day, Principal Data Architect, Denodo
October 14 | 12:05 - 12:30
Advanced data science techniques, like machine learning, have proven an extremely useful tool to derive valuable insights from existing data. Platforms like Spark, and complex libraries for R, Python and Scala put advanced techniques at the fingertips of the data scientists. However, these data scientists spend most of their time looking for the right data and massaging it into a usable format. Data virtualization offers a new alternative to address these issues in a more efficient and agile way.
Attend this session to learn how companies can use data virtualization to:
Speaker:
Chris Day, Principal Data Architect, Denodo
The topics would be the leagues journey on increasing fan engagement leveraging data with discussion including:
Speaker:
Justin Friedman, Director – Data & Analytics, The National Football League (NFL) USA
October 14 | 12:30 - 12:55
The topics would be the leagues journey on increasing fan engagement leveraging data with discussion including:
Speaker:
Justin Friedman, Director – Data & Analytics, The National Football League (NFL) USA
Speaker:
Colin Priest, Vice President, AI Strategy, DataRobot
Speaker:
Bobby Shaik, Head of BI – Data & Analytics, Vodafone
Speaker:
Glen Ryman, Senior Manager Data Science - Integrated Energy, AGL Energy
Speaker:
Pooyan Asgari, Chief Data Officer, Domain Group
Technologies like Tableau make it easier than ever for business people to access and explore their data. As a result, more insights are uncovered within companies every day. However, unless we can communicate these insights effectively, no one will act on them, and no change will occur. In this session, we will explore ways to overcome this too familiar 'insights dead-end'.
Speaker:
Mac Bryla, APAC Technology Evangelist, Tableau
October 15 | 11:55 - 12:20
Technologies like Tableau make it easier than ever for business people to access and explore their data. As a result, more insights are uncovered within companies every day. However, unless we can communicate these insights effectively, no one will act on them, and no change will occur. In this session, we will explore ways to overcome this too familiar 'insights dead-end'.
Speaker:
Mac Bryla, APAC Technology Evangelist, Tableau
Speaker:
Scott Verrall, former Head of Analytics, Insight and Research, HCF
Speaker:
Dr. Stephen Hardy, Chief Executive Officer, Ambiata
Speaker:
Kevin Stafford, Head of Technology, Rugby Australia
Speaker:
Mudit Srivastav, Head of Advanced Analytics, Origin
Speaker:
Jacqui Visch, Group Chief Technology and Data Officer, AMP
An open discussion on the specific steps you take to advance on the AI maturity curve.
Speaker:
Grant Case, Director of Sales Engineering ANZ Dataiku & Lecturer on Analytics, Columbia University
Speaker:
Jerry Goldfried, Director, Analytics and Insights, NSW Land Registry Services
Speaker:
Dr Catherine Lopes, Head of Data Strategy & Analytics, ME Bank
Speaker:
Craig Rowlands, Senior Executive Information Management, Technology & Operations, Medibank