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10am - 3pm AEST

12pm - 5pm NZST

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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

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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)

CDAO Deep Dive Innovation 2021 Opening Address

August 25 | 10:02 - 10:31

International Keynote Presentation: Deliver the Exceptional with Data and Analytics - Fostering a Culture of Excellence

 

Watch the replay

Speaking:

Dr. Vipin Gopal

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
Watch the replay

Speaking:

Ben Taylor

Ari Kaplan

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?
Watch the replay

Speaking:

Khang Nguyen

Bhavika Unnadkat

Gladwin Mendez

11:43

APAC Key AI Trends in 2021

Speaking:

Vincent de Stoecklin

Customer Success Director, Dataiku

APAC Key AI Trends in 2021

August 25 | 11:43 - 12:09

Watch the replay

Speaking:

Vincent de Stoecklin

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

Sustaining Change and Scaling for Success

October 22 | 12:09 - 12:28

Ensuring your strategy, foundational capabilities and activities are all geared towards embedding analytics into the fabric of the organisation.

Watch the replay

Speaking:

Janice Carey

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.
Watch the replay

Speaking:

Chris Day

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?
Watch the replay

Speaking:

Revital Rosenberg

Yuriy Onyshchuk

Suresh Bhaskaran

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.

Watch the replay

Speaking:

Somesh Bahaguna

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

Linking Analytics to Scenario Modelling to Plan for an Uncertain Future

October 22 | 13:55 - 14:24

Watch the replay

Speaking:

Dr Behrooz Hassani-Mahmooei

2:24

End of CDAO ANZ Deep Dive Innovation - Day 1

 

End of CDAO ANZ Deep Dive Innovation - Day 1

August 25 | 14:24

 

Watch the replay

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)

International Keynote: Unleashing the Power of Data within the Department of the Air Force

October 22 | 10:02 - 10:24

Watch the replay

Speaking:

Eileen Vidrine

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

 

Watch the replay

Speaking:

Orla Glynn

Violetta Misiorek

Eugene Dozortsev

Mazen Kassis

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. 

 

Watch the replay

Speaking:

Jag Dhillon

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?
Watch the replay

Speaking:

Alan Lowthorpe

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.
Watch the replay

Speaking:

Angela Zhao

Dr Catherine Lopes

Rebecca Driver

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.

Watch the replay

Speaking:

Clare Kitching

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

 

Watch the replay

Speaking:

Ali Khan

David Thomas

Sandhya Iyer

Rakesh Kalyankar

Gladwin Mendez

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
Watch the replay

Speaking:

Kshira Saagar

Sandra Hogan

Dmitri Markman

1:55

End of CDAO ANZ Deep Dive Innovation - Day 2

End of CDAO ANZ Deep Dive Innovation - Day 2

October 22 | 13:55

Watch the replay

Speaking: