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?

• The business believes that progression in data and its insights should be instantaneous, how do you manage that expectation of the possible and the impossible?
• The hot topics drive executive hot buttons but how to you build a longer term strategy against this constant change?
• Have the strategic goals to get to better data-driven business strategies and applications changed with CV19. How?
• What has been you biggest success to get to data-driven business strategies and applications?

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.

• Driving progress against the backdrop of covid-19, increasing regulation and mistrust.
• What are some of the roadblocks/ challenges to leveraging data-driven insights? How can those be addressed? 
• Within your organisation, are data protection and privacy controls impacting innovation efforts with customer data? How can an organisation effectively balance the need to keep sensitive data safe, while maximising data utility?
• How can an organisation determine whether point solutions meet their needs, or whether they need to take a more comprehensive approach? 
• Assessing which emerging technologies will have the greatest impact on data and analytics.
• How to establish the intrinsic value of the organisation’s information assets?

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:

• Create a logical architecture to make all enterprise data available for advanced analytics exercise.
• Accelerate data acquisition and massaging, providing the data scientist with a powerful tool to complement their practice.
• Integrate popular tools from the data science ecosystem: Spark, Python, Zeppelin, Jupyter, etc.

Speaker:

Chris Day, Principal Data Architect, Denodo

The topics would be the leagues journey on increasing fan engagement leveraging data with discussion including:

• New NFL Patented fan insights on viewership.
• Lifetime Value clusters and segmenting our fans into behavioral groups.
• Development of scaled databases for each of the 32 NFL teams for data democratization.
• Putting all the insights to work.

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

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