10am - 3pm AEST
12pm - 5pm NZST
Day One Conference - Wednesday 15 September
10:00
Welcome and Chair’s Opening Remarks
Speaking:
Welcome and Chair’s Opening Remarks
August 26 | 10:00 - 10:05
Speaking:
10:02
CDAO Deep Dive Innovation 2021 Opening Address
International Keynote Presentation: Deliver the Exceptional with Data and Analytics - Fostering a Culture of Excellence
Speaking:
Dr. Vipin Gopal
VP, Chief Data and Analytics Officer, Eli Lilly and Company (USA)
10:31
Levelling up to Hyperscale AI through Improved Collaboration
AI projects are often created and left stagnant. It is the lucky few whose AI projects are one-and-done. The greatest organisations reach hyperscale with hundreds and even thousands of successful models deployed. Last year, AI leaders spent about 18% more than beginners as a share of revenue, and the ROI was over 500%. Learn how the best organisations succeed in becoming AI-driven and realising the enormous benefits.
In this session, you will learn how and why companies should mature from experimental AI to transformational AI, becoming a well-oiled machine with hundreds or thousands of deployments:
- How to facilitate human collaboration at scale across all departments
- How to deal with managing and upkeep at a higher scale
- Best practices of the most successful data science organization structures
- How to improve executive buy-in for data science projects
Speaking:
Ari Kaplan
Director of AI Evangelism & Strategy, Datarobot
Ben Taylor
Chief AI Evangelist, DataRobot
Levelling up to Hyperscale AI through Improved Collaboration
August 25 | 10:31 - 11:07
AI projects are often created and left stagnant. It is the lucky few whose AI projects are one-and-done. The greatest organisations reach hyperscale with hundreds and even thousands of successful models deployed. Last year, AI leaders spent about 18% more than beginners as a share of revenue, and the ROI was over 500%. Learn how the best organisations succeed in becoming AI-driven and realising the enormous benefits.
In this session, you will learn how and why companies should mature from experimental AI to transformational AI, becoming a well-oiled machine with hundreds or thousands of deployments:
- How to facilitate human collaboration at scale across all departments
- How to deal with managing and upkeep at a higher scale
- Best practices of the most successful data science organization structures
- How to improve executive buy-in for data science projects
11:07
Keynote Discussion Panel: Data–driven Decision Making during a Crisis
Data is the fuel for decision making – day-to-day decisions and strategic decisions. During the COVID-19 pandemic, data was the lifeblood of every country’s response. This panel discussion will explore what that decision making looked like in Australia, and what were the lessons learned.
- What does interdisciplinary knowledge really look like?
- Data sharing – and why the value of those models can only increase with sharing
- Examining the usefulness of information in a context like this
- How to consider all the evidence in decision making
- How do we measure the effectiveness of different data decisions?
- How do you explain it and communicate it to the public?
- The balance between epidemiological modelling and macro-economic forecasts in decision making
- How has COVID impacted relative momentum internationally?
Speaking:
Gladwin Mendez
Data and Technology Operations Officer, Fisher Funds
Bhavika Unnadkat
Head of Data, Momentum Energy
Khang Nguyen
Head of Data Analytics & Governance, Tabcorp
Keynote Discussion Panel: Data–driven Decision Making during a Crisis
August 25 | 11:07 - 11:43
Data is the fuel for decision making – day-to-day decisions and strategic decisions. During the COVID-19 pandemic, data was the lifeblood of every country’s response. This panel discussion will explore what that decision making looked like in Australia, and what were the lessons learned.
- What does interdisciplinary knowledge really look like?
- Data sharing – and why the value of those models can only increase with sharing
- Examining the usefulness of information in a context like this
- How to consider all the evidence in decision making
- How do we measure the effectiveness of different data decisions?
- How do you explain it and communicate it to the public?
- The balance between epidemiological modelling and macro-economic forecasts in decision making
- How has COVID impacted relative momentum internationally?
11:43
APAC Key AI Trends in 2021
Speaking:
Vincent de Stoecklin
Customer Success Director, Dataiku
12:09
Sustaining Change and Scaling for Success
Ensuring your strategy, foundational capabilities and activities are all geared towards embedding analytics into the fabric of the organisation.
Speaking:
Janice Carey
Head of Data Strategy, Chief Customer and Strategy Office, Bupa
12:28
Leveraging Data Virtualization to Protect Data Privacy
Compliance with privacy and security regulations such as GDPR is tricky since data is often stored across myriad heterogeneous data sources, both on-premises and in the cloud. These regulations require companies to report on where specific records are stored, where they may have been transferred to, and who has the authority to view this data. In addition, they will need to track all transactions that involve the selling of personal information.
Data virtualization provides companies with fine-grained control over sensitive customer information stored across multiple systems by establishing a single, unified access layer across on-premises and off-premises systems.
In this session, you will learn:
- Customising security policies in the data abstraction layer.
- Centralising security when data is spread across multiple systems.
- Controlling and auditing data access across different regions.
Speaking:
Chris Day
Solution Architect, Denodo
Leveraging Data Virtualization to Protect Data Privacy
October 22 | 12:28 - 12:49
Compliance with privacy and security regulations such as GDPR is tricky since data is often stored across myriad heterogeneous data sources, both on-premises and in the cloud. These regulations require companies to report on where specific records are stored, where they may have been transferred to, and who has the authority to view this data. In addition, they will need to track all transactions that involve the selling of personal information.
Data virtualization provides companies with fine-grained control over sensitive customer information stored across multiple systems by establishing a single, unified access layer across on-premises and off-premises systems.
In this session, you will learn:
- Customising security policies in the data abstraction layer.
- Centralising security when data is spread across multiple systems.
- Controlling and auditing data access across different regions.
12:49
Keynote Panel Discussion: The Future of Data and Analytics post-COVID-19
Correlation tells you how numbers interacted in the past, but it doesn’t tell you the structure of that data. After a shock, the ability for data leaders to forecast future scenarios is so much harder, as you can’t just draw on previous trends. This panel will examine:
- What will the post-COVID business look like?
- To what extent will data and analytics play a more important role in most organisations?
- What digital trends have been accelerated for organisations?
- How do data and analytics leaders support organisations during a crisis?
- Do we see a reverting back to a tried and tested (and not necessarily right) data approach during a crisis?
- What happens when you cannot use historical data to make decisions?
- How have businesses had to change their approach around systems and frameworks?
Speaking:
Revital Rosenberg
Head of Data and Insights, Officeworks Ltd
Suresh Bhaskaran
Head of Investment Analytics & Data Services APAC, BNP Paribas
Yuriy Onyshchuk
Head of Data and Analytics, Energy Safe Victoria
Keynote Panel Discussion: The Future of Data and Analytics post-COVID-19
August 25 | 12:49 - 13:31
Correlation tells you how numbers interacted in the past, but it doesn’t tell you the structure of that data. After a shock, the ability for data leaders to forecast future scenarios is so much harder, as you can’t just draw on previous trends. This panel will examine:
- What will the post-COVID business look like?
- To what extent will data and analytics play a more important role in most organisations?
- What digital trends have been accelerated for organisations?
- How do data and analytics leaders support organisations during a crisis?
- Do we see a reverting back to a tried and tested (and not necessarily right) data approach during a crisis?
- What happens when you cannot use historical data to make decisions?
- How have businesses had to change their approach around systems and frameworks?
1:31
Building Data Pipelines Using Your Preferred Language
At Snowflake, we continue to extend our platform with features that help customers achieve more with less. The Snowpark API opens up a new programming model for Snowflake, and Java functions expand the possibilities for data transformation and analysis. In this session, the engineering leads for Snowpark and Java functions will dive into the details behind these features, explaining how they work, best practices to follow, and how Snowflake provides a secure and performant environment for execution of Java code right inside of Snowflake.
Speaking:
Somesh Bahaguna
Sales Engineer, Snowflake
Building Data Pipelines Using Your Preferred Language
October 22 | 13:31 - 13:55
At Snowflake, we continue to extend our platform with features that help customers achieve more with less. The Snowpark API opens up a new programming model for Snowflake, and Java functions expand the possibilities for data transformation and analysis. In this session, the engineering leads for Snowpark and Java functions will dive into the details behind these features, explaining how they work, best practices to follow, and how Snowflake provides a secure and performant environment for execution of Java code right inside of Snowflake.
1:55
Linking Analytics to Scenario Modelling to Plan for an Uncertain Future
Speaking:
Dr Behrooz Hassani-Mahmooei
Director, Strategic Intelligence and Insight Unit, Monash University
2:24
End of CDAO ANZ Deep Dive Innovation - Day 1
End of CDAO ANZ Deep Dive Innovation - Day 1
August 25 | 14:24
Speaking:
Day Two Conference - Thursday 16 September
10:02
International Keynote: Unleashing the Power of Data within the Department of the Air Force
Speaking:
Eileen Vidrine
Chief Data Officer, United States Air Force (USA)
10:24
Keynote Perspectives Panel: Culture is King: Fostering a Culture to Support the Latest Tech
We know that prioritising data is something that comes from the top management – but how do we get this to happen? This panel will examine:
- Becoming a truly data enabled business - What organisational culture is required?
- Accelerating change through technology.
- Establishing a start-up-like culture to foster innovation
- Adjusting strategies to emphasise data and analytics
- How your analytics team can involve the sponsors on the journey with them
- How to get your execs to ask for what they truly need
- What does it mean to embrace a data culture?
- How do data and analytics help execs to sell their story?
- Why you need to know your stakeholders and know their data level of maturity
- How to you take them on the journey of what they can achieve with the data
Speaking:
Orla Glynn
Chief Data Officer, AGL Energy
Violetta Misiorek
Principal Consultant, Data Science, Digital Distribution, Suncorp Group
Eugene Dozortsev
Head of Enterprise Data, BI and Analytics, Tabcorp
Mazen Kassis
Head of Data and Analytics, Foodstuffs North Island Limited
Keynote Perspectives Panel: Culture is King: Fostering a Culture to Support the Latest Tech
August 26 | 10:24 - 11:01
We know that prioritising data is something that comes from the top management – but how do we get this to happen? This panel will examine:
- Becoming a truly data enabled business - What organisational culture is required?
- Accelerating change through technology.
- Establishing a start-up-like culture to foster innovation
- Adjusting strategies to emphasise data and analytics
- How your analytics team can involve the sponsors on the journey with them
- How to get your execs to ask for what they truly need
- What does it mean to embrace a data culture?
- How do data and analytics help execs to sell their story?
- Why you need to know your stakeholders and know their data level of maturity
- How to you take them on the journey of what they can achieve with the data
11:01
Situational Intelligence with Analytics in Motion
The growth of streaming data is a massive industry trend in enterprise tech. This movement towards streaming data provides organizations new intelligence, connecting applications with streaming data can unlock all these insights about what's happening in your business in real-time. However, being able to consume data in real-time only gets you halfway. You've got to have analytics to help you drive intelligence, not only to tell you what is happening, and more importantly, why it is happening. Harnessing this potential for intelligence from streaming data requires a new approach to analytics, i.e., Analytics in Motion.
In this talk, we will share how this new data architecture can help organizations unlock the potential of data by enabling them to have rapid interactive conversations and the ability to process massive data in real-time across all of their data.
Speaking:
Jag Dhillon
Pre-Sales Lead, Imply, APJ
Situational Intelligence with Analytics in Motion
October 22 | 11:01 - 11:23
The growth of streaming data is a massive industry trend in enterprise tech. This movement towards streaming data provides organizations new intelligence, connecting applications with streaming data can unlock all these insights about what's happening in your business in real-time. However, being able to consume data in real-time only gets you halfway. You've got to have analytics to help you drive intelligence, not only to tell you what is happening, and more importantly, why it is happening. Harnessing this potential for intelligence from streaming data requires a new approach to analytics, i.e., Analytics in Motion.
In this talk, we will share how this new data architecture can help organizations unlock the potential of data by enabling them to have rapid interactive conversations and the ability to process massive data in real-time across all of their data.
11:23
Where is the Cognitive World Heading?
- What are companies hoping to achieve with cognitive technologies?
- What are the challenges in integrating your AI tools and algorithms?
- How can you build a culture and hire the right team that supports AI and manages sceptics? What does the right team look like?
- How are you building AI capabilities for the future to have a much bigger impact on customer experience? What initiatives have you set in place?
Speaking:
Alan Lowthorpe
GM Advanced Analytics, Advanced Analytics Centre, Wesfarmers
Where is the Cognitive World Heading?
August 26 | 11:23 - 11:50
- What are companies hoping to achieve with cognitive technologies?
- What are the challenges in integrating your AI tools and algorithms?
- How can you build a culture and hire the right team that supports AI and manages sceptics? What does the right team look like?
- How are you building AI capabilities for the future to have a much bigger impact on customer experience? What initiatives have you set in place?
11:50
Discussion Group: Women in Data
- Overcoming the algorithmic bias created by a male team - How a team diversity can actually produce more balanced results.
- Analysing the traditional the barriers to entry – are these beginning to change? Why aren’t more diverse groups applying?
- How to encourage more diverse talent beyond just the recruitment phase - Keeping diverse groups engaged long term.
Speaking:
Dr Catherine Lopes
Head of Data Strategy and Analytics, ME Bank
Angela Zhao
Data Risk Consultant, ASB Bank
Rebecca Driver
Principal Information Architect, Department of Health & Human Services, Victoria, and Branch Head – Melbourne Chapter, DAMA
Discussion Group: Women in Data
October 22 | 11:50 - 12:31
- Overcoming the algorithmic bias created by a male team - How a team diversity can actually produce more balanced results.
- Analysing the traditional the barriers to entry – are these beginning to change? Why aren’t more diverse groups applying?
- How to encourage more diverse talent beyond just the recruitment phase - Keeping diverse groups engaged long term.
12:31
Case study: Overcoming Data and Analytics Programme Barriers
What are the practical steps that can be taken to tackle common organisational barriers to the success of D&A programmes, such as:
- Cultural resistant to change,
- Lack of investment (funding/resource),
- Organisational poor data literacy,
- Lack of relevant D&A skills/staff.
- Engagement and Prioritization
- Expectation Setting
This talk will also look at balancing the art of the possible with your ability to deliver and meet expectations.
Speaking:
Clare Kitching
Head of Advanced Analytics, Wesfarmers
Case study: Overcoming Data and Analytics Programme Barriers
August 26 | 12:31 - 12:49
What are the practical steps that can be taken to tackle common organisational barriers to the success of D&A programmes, such as:
- Cultural resistant to change,
- Lack of investment (funding/resource),
- Organisational poor data literacy,
- Lack of relevant D&A skills/staff.
- Engagement and Prioritization
- Expectation Setting
This talk will also look at balancing the art of the possible with your ability to deliver and meet expectations.
12:49
Panel Discussion: Building a Winning Team: To Hire or Train? Organisational Structure and Skills Gaps – Getting the Structure Right
Determining the right blend of job functions for your data analytics projects.
Upskill, adapt and evolve. Learn how organisations are enabling change through diversity. This discussion session will look at:
- Broadening the funnel of diverse applicants.
- Encouraging more diverse groups to apply.
- What is a diverse workforce – examining the blend of personality traits that make for a winning team.
- How to encourage more diverse talent beyond just the recruitment phase - Keeping diverse groups engaged long term.
- Achieving true diversity of teams – not just for show
- How to create diversity of thought?
- How it can correct inherent bias
- Data Literacy;
- Talent Gap;
- Leadership
- Upskilling
Speaking:
Gladwin Mendez
Data and Technology Operations Officer, Fisher Funds
Rakesh Kalyankar
Head of Data & Insights, AusNet Services
Sandhya Iyer
Head of Data Governance, Strategy & Culture, Latitude Financial Services
David Thomas
Group Manager – Customer Analytics and Insights, Genesis
Ali Khan
Data and Analytics Director Health Information and Technology, Auckland District Health Board
Panel Discussion: Building a Winning Team: To Hire or Train? Organisational Structure and Skills Gaps – Getting the Structure Right
August 25 | 12:49 - 13:35
Determining the right blend of job functions for your data analytics projects.
Upskill, adapt and evolve. Learn how organisations are enabling change through diversity. This discussion session will look at:
- Broadening the funnel of diverse applicants.
- Encouraging more diverse groups to apply.
- What is a diverse workforce – examining the blend of personality traits that make for a winning team.
- How to encourage more diverse talent beyond just the recruitment phase - Keeping diverse groups engaged long term.
- Achieving true diversity of teams – not just for show
- How to create diversity of thought?
- How it can correct inherent bias
- Data Literacy;
- Talent Gap;
- Leadership
- Upskilling
1:35
Keynote Discussion: Getting up the value chain - How do you demonstrate value in a time of uncertainty?
- Moving up the value chain to ensure you data and analytics team is achieving its full potential
- How to move from reporting function to strategic analytics function
- Working on the most important business problems
- The idea of analytics team being and order taker – becoming a partner in business problem solving that can be commotised
Speaking:
Kshira Saagar
Kshira Saagar, Chief Data Officer, Latitude Financial Services
Dmitri Markman
Executive, Personal Banking Data and Analytics, NAB
Sandra Hogan
General Manager Data Science & Analytics, Ventia Pty Ltd
Keynote Discussion: Getting up the value chain - How do you demonstrate value in a time of uncertainty?
August 26 | 13:35 - 14:17
- Moving up the value chain to ensure you data and analytics team is achieving its full potential
- How to move from reporting function to strategic analytics function
- Working on the most important business problems
- The idea of analytics team being and order taker – becoming a partner in business problem solving that can be commotised
1:55
End of CDAO ANZ Deep Dive Innovation - Day 2
End of CDAO ANZ Deep Dive Innovation - Day 2
October 22 | 13:55