<img height="1" width="1" style="display:none;" alt="" src="https://dc.ads.linkedin.com/collect/?pid=306561&amp;fmt=gif">

 

CDAO NZ Logo-2
Conference Day 1
10 November 2021
08:00

Register, grab a coffee and say hello!

Register, grab a coffee and say hello!

May 18 | 08:00 - 08:10

Register now

Speaking:

08:10

Chair’s Opening Remarks

Speaking:

Chair’s Opening Remarks

May 18 | 08:10 - 08:15

Register now

Speaking:

08:15

CDAO New Zealand 2021 Opening Address

Let’s start how we mean to go on, in discussion making valuable industry connections.

CDAO New Zealand 2021 Opening Address

May 18 | 08:15 - 08:40

Let’s start how we mean to go on, in discussion making valuable industry connections.

Register now

Speaking:

08:40

AI in action: How to embed AI in your organisation

AI algorithms come in various shapes and forms. They can be extremely complex or be elegant in their simplicity, they can be developed on paper by a mathematician or by a computer scientist in python. But one thing all algorithms have in common is that most developed algorithms never will be used in practise. In this talk I will discuss how organisations can increase the success rate of their AI adoption, how to productionise AI faster and at scale, and how to build trust in an AI driven organisation.

Speaking:

Peter Jaksons

Customer Facing Data Scientist, AcumenBI

AI in action: How to embed AI in your organisation

May 18 | 08:40 - 09:05

AI algorithms come in various shapes and forms. They can be extremely complex or be elegant in their simplicity, they can be developed on paper by a mathematician or by a computer scientist in python. But one thing all algorithms have in common is that most developed algorithms never will be used in practise. In this talk I will discuss how organisations can increase the success rate of their AI adoption, how to productionise AI faster and at scale, and how to build trust in an AI driven organisation.

Register now

Speaking:

09:05

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:

Tracy Parsons

Chief Data Officer, New Zealand Ministry of Foreign Affairs & Trade | Manatū Aorere

Terri Carajannis

Chief Digital Officer, Harrison Grierson

Mazen Kassis

Head of Data & Analytics, Foodstuffs

Keynote Perspectives Panel: Culture is King: Fostering a Culture to Support the Latest Tech

May 18 | 09:05 - 09:40

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

 

Register now

Speaking:

09:40

Building Scalable Data and AI Environments in the Industrial Setting

  • How do business that don’t have in house expertise figure out what is hype around AI versus what is truly value adding
  • Identifying the business opportunities for AI
  • Emerging technologies that connect and validate data
  • Everyone talks about AI, but what does it really mean? Is it more than just a fancy programme?
  • Is it realistically applicable?
  • What is the technology stack around that data?
  • Outlining an AI roadmap to the future

Speaking:

Alan Bluwol

Director – Customer Engagement, Servian

Building Scalable Data and AI Environments in the Industrial Setting

May 18 | 09:40 - 10:05

  • How do business that don’t have in house expertise figure out what is hype around AI versus what is truly value adding
  • Identifying the business opportunities for AI
  • Emerging technologies that connect and validate data
  • Everyone talks about AI, but what does it really mean? Is it more than just a fancy programme?
  • Is it realistically applicable?
  • What is the technology stack around that data?
  • Outlining an AI roadmap to the future
Register now

Speaking:

10:05

Get refreshed! Mingle

Get refreshed! Mingle

May 18 | 10:05 - 10:35

Register now

Speaking:

10:35

Case study: Driving Transformation and Enabling Data for Positive Impact

The Inland Revenue Department has recently undertaken a huge transformation agenda for the entire organisation and central to this was its knowledge management, and data and analytics products. This session will look at how they:

  • Built scalable data products for easy business consumption.
  • Combined scalable analytics practices, data science platforms, and the right mix of people and processes.
  • Set expectations within the organisation - Balancing the ‘delivering ‘value now’, with the art of the possible by adopting a system of continuous learning mentality.
  • Is working with the organisation to integrate data planning, governance and analytics as an end to end operating system.
  • Is innovating with business opportunities delivered through advanced analytics capabilities to solve some of the more complex decisions facing tax authorities today.

Speaking:

Tina Maclean

Data Science & Analytics Leader, Inland Revenue New Zealand

Case study: Driving Transformation and Enabling Data for Positive Impact

July 23 | 10:35 - 11:05

The Inland Revenue Department has recently undertaken a huge transformation agenda for the entire organisation and central to this was its knowledge management, and data and analytics products. This session will look at how they:

  • Built scalable data products for easy business consumption.
  • Combined scalable analytics practices, data science platforms, and the right mix of people and processes.
  • Set expectations within the organisation - Balancing the ‘delivering ‘value now’, with the art of the possible by adopting a system of continuous learning mentality.
  • Is working with the organisation to integrate data planning, governance and analytics as an end to end operating system.
  • Is innovating with business opportunities delivered through advanced analytics capabilities to solve some of the more complex decisions facing tax authorities today.
Register now

Speaking:

11:05

Thought Leader Presentation: Data Governance, Privacy and Ethics as we Move Closer to Pervasive Advanced Analytics and AI

Looking at the considerations, models and practices that can safeguard the ethical use of data

  • Ensuring AI complies with human rights law
  • Why AI needs to be used in ways that minimise harm
  • Why humans need to be accountable for the way AI is used
  • Fairness in Machine Learning – how is this managed?
  • Machine learning for good governance

Speaking:

Thought Leader Presentation: Data Governance, Privacy and Ethics as we Move Closer to Pervasive Advanced Analytics and AI

May 18 | 11:05 - 11:30

Looking at the considerations, models and practices that can safeguard the ethical use of data

  • Ensuring AI complies with human rights law
  • Why AI needs to be used in ways that minimise harm
  • Why humans need to be accountable for the way AI is used
  • Fairness in Machine Learning – how is this managed?
  • Machine learning for good governance
Register now

Speaking:

11:30

What’s required of data & analytics teams in the future - and their leaders?

  • Future skill set and key data roles
  • Embedding data into business DNA and decision making
  • Key considerations: data products mindset; data partnerships; data literacy, self-service and citizen data scientists
  • Building a high performing team, and retaining it
  • Defining a vision, obtaining Executive buy-in and setting the right expectations

Speaking:

Kari Jones

General Manager Data & Analytics, New Zealand Post

What’s required of data & analytics teams in the future - and their leaders?

May 18 | 11:30 - 11:55

  • Future skill set and key data roles
  • Embedding data into business DNA and decision making
  • Key considerations: data products mindset; data partnerships; data literacy, self-service and citizen data scientists
  • Building a high performing team, and retaining it
  • Defining a vision, obtaining Executive buy-in and setting the right expectations
Register now

Speaking:

11:55

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:

Peter Gavin

GM, Data & Analytics, ANZ Bank New Zealand

David Thomas

Group Manager – Customer Analytics and Insights, Genesis

Keynote Panel Discussion: The Future of Data and Analytics post-COVID-19

May 18 | 11:55 - 12:30

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?
Register now

Speaking:

12:30

Mix and mingle over lunch

Mix and mingle over lunch

May 18 | 12:30 - 13:30

Register now

Speaking:

Track A - Data Governance and Risk Management

1:40

Thought Leadership Presentation

Thought Leadership Presentation

May 18 | 13:40 - 14:15

Register now

Speaking:

Track B - Scalable and sustainable

1:40

Case Study: Technology change at the New Zealand Police Financial Intelligence Unit

  • The pre-procurement process: How our thorough research underpinned our choice of technology
  • Conducting performance analysis of the data  - with clients and staff  - to identify pain points and opportunities for continuous improvement
  • How to start the process of truly uncovering customer requirements and meeting those needs with data
  • Building and up-skilling teams internally to support a truly data driven operation

Speaking:

Ann-Maree Beard

Senior Advisor, Financial Intelligence Unit, New Zealand Police

Case Study: Technology change at the New Zealand Police Financial Intelligence Unit

July 23 | 13:40 - 14:15

  • The pre-procurement process: How our thorough research underpinned our choice of technology
  • Conducting performance analysis of the data  - with clients and staff  - to identify pain points and opportunities for continuous improvement
  • How to start the process of truly uncovering customer requirements and meeting those needs with data
  • Building and up-skilling teams internally to support a truly data driven operation
Register now

Speaking:

Track C - Interactive discussion groups

1:40

Data Governance Gurus Panel: Key Concerns - Data Governance, Privacy, AI and Ethics

One of hand we talk about ethics as doing the right thing with data - but we don’t talk about doing the right thing by whom. Whose interest are we operating in? This discussion will go to the heart of the following issues:

  • Looking at the considerations, models and practices that can safeguard the ethical use of data.
  • Organisational culture – do we believe that the customers or the organisation own a person’s data?
  • Making sure customers know what their rights and responsibilities are
  • What does the group think of the notion of a legal definition of data sovereignty? Is it less a case of ownership or is it more about rights and responsibilities?

 

Speaking:

Shagen Ganason CIA

Head of Internal Audit, AIA

Data Governance Gurus Panel: Key Concerns - Data Governance, Privacy, AI and Ethics

May 19 | 13:40 - 14:15

One of hand we talk about ethics as doing the right thing with data - but we don’t talk about doing the right thing by whom. Whose interest are we operating in? This discussion will go to the heart of the following issues:

  • Looking at the considerations, models and practices that can safeguard the ethical use of data.
  • Organisational culture – do we believe that the customers or the organisation own a person’s data?
  • Making sure customers know what their rights and responsibilities are
  • What does the group think of the notion of a legal definition of data sovereignty? Is it less a case of ownership or is it more about rights and responsibilities?

 

Register now

Speaking:

Track A - Data Governance and Risk Management

2:15

Case Study: Data management meets service management- building a rich knowledge base where experience improves insights

Speaking:

Dez Ellams

Principal Advisor, Business Direction - Research and Analytics, Waka Kotahi NZ Transport Agency

Case Study: Data management meets service management- building a rich knowledge base where experience improves insights

May 18 | 14:15 - 14:50

Register now

Speaking:

Track B - Scalable and sustainable

2:15

Thought Leadership Presentation

 

Thought Leadership Presentation

May 19 | 14:15 - 14:50

 

Register now

Speaking:

Track C - Interactive discussion groups

2:15

Talent Gap Interactive (extended session): 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

 

Talent Gap Interactive (extended session): Building a Winning Team: To Hire or Train? Organisational Structure and Skills Gaps – Getting the Structure Right

May 19 | 14:15 - 15:25

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

 

Register now

Speaking:

Track A - Data Governance and Risk Management

2:50

Thought Leadership Presentation

Thought Leadership Presentation

May 18 | 14:50 - 15:25

Register now

Speaking:

Track B - Scalable and sustainable

2:50

Case study: Data Streaming platform and supporting Realtime ML scoring

Speaking:

Andrew Bates

Chief Technical Officer, Harmoney Ltd

Case study: Data Streaming platform and supporting Realtime ML scoring

May 19 | 14:50 - 15:25

Register now

Speaking:

Track A - Data Governance and Risk Management

3:25

A data maturity assessment for the New Zealand government data system

Speaking:

Kevin Sweeney

Principal Advisor – Data System Strategy and Capability, Tatauranga Aotearoa Stats NZ

A data maturity assessment for the New Zealand government data system

May 18 | 15:25 - 16:00

Register now

Speaking:

Track B - Scalable and sustainable

3:25

Thought Leadership Session

Thought Leadership Session

July 23 | 15:25 - 16:00

Register now

Speaking:

Track C - Interactive discussion groups

3:25

Discussion Group: Tackling the Inherent Tensions of the Data Marketplace

Infonomics is increasingly becoming common practice in many large organisations, particularly concerning data sharing.

  • What are some practical examples of profitable data sharing arrangements?
  • Sharing data generates revenue, but because of GDPR there is increasing awareness of Personally Identifiable Data. What is the way forward?
  • An update on the increasing regulation around data security
  • Cost versus benefit of sharing data: When is it too high?

Speaking:

Tom Lintern

Chief Data Scientist and Head of Commercial, , homes.co.nz

Discussion Group: Tackling the Inherent Tensions of the Data Marketplace

May 19 | 15:25 - 16:00

Infonomics is increasingly becoming common practice in many large organisations, particularly concerning data sharing.

  • What are some practical examples of profitable data sharing arrangements?
  • Sharing data generates revenue, but because of GDPR there is increasing awareness of Personally Identifiable Data. What is the way forward?
  • An update on the increasing regulation around data security
  • Cost versus benefit of sharing data: When is it too high?
Register now

Speaking:

3:30

Get Refreshed! Mingle

Get Refreshed! Mingle

May 19 | 15:30 - 16:00

Register now

Speaking:

Track A - Data Governance and Risk Management

4:00

Case study: Using analytics and data literacy to support better outcomes for a diverse range of users

Capital & Coast DHB’s implementation of the national Care Capacity Demand Management (CCDM) programme has received a lot of attention within the health sector because of the way it has comprehensively supported clinical leaders to use data to improve outcomes for patients and staff alike. This includes making core data metrics available from ward to board and ensuring that leaders are able to interpret the data through a data literacy programme. CCDM has also been used to test a competency-based approach to data literacy that is now being rolled out to management accountants, operational managers and HR advisors.

This case study will take you through the journey, explore the lessons learned and how those lead to continuous improvement, how to make things work in a very difficult environment and the importance of tailoring your approach to the diverse needs of different users.

Speaking:

Stuart McCaw

Programme Manager, Capital & Coast District Health Board

Emma Williams RM

Care Capacity Demand Programme Manager (CCDM) Programme Manager, Capital & Coast District Health Board

Case study: Using analytics and data literacy to support better outcomes for a diverse range of users

May 19 | 16:00 - 16:35

Capital & Coast DHB’s implementation of the national Care Capacity Demand Management (CCDM) programme has received a lot of attention within the health sector because of the way it has comprehensively supported clinical leaders to use data to improve outcomes for patients and staff alike. This includes making core data metrics available from ward to board and ensuring that leaders are able to interpret the data through a data literacy programme. CCDM has also been used to test a competency-based approach to data literacy that is now being rolled out to management accountants, operational managers and HR advisors.

This case study will take you through the journey, explore the lessons learned and how those lead to continuous improvement, how to make things work in a very difficult environment and the importance of tailoring your approach to the diverse needs of different users.

Register now

Speaking:

Track B - Scalable and sustainable

4:00

Decision Management using Sophisticated Knowledge & Analytical/AI Models

  • Embedding human like knowledge into systems to generate pragmatic decision insights
  • Driving Artificial Intelligence by modelling decisions and knowledge using knowledge Models
  • Powering cognitive systems to support better decision making

Speaking:

Ganesh Selvaraj

Principal Data Scientist, WorkSafe New Zealand

Decision Management using Sophisticated Knowledge & Analytical/AI Models

July 23 | 16:00 - 16:35

  • Embedding human like knowledge into systems to generate pragmatic decision insights
  • Driving Artificial Intelligence by modelling decisions and knowledge using knowledge Models
  • Powering cognitive systems to support better decision making
Register now

Speaking:

Track C - Interactive discussion groups

4:00

Discussion Group: Contemporary D&A Roles

By now everyone has heard of the term Chief Data Officer, but what about other emerging D&A roles that are increasingly becoming more common place such as Data Ethicist’s, Data Journalist’s, Data Translator’s and others. Do you have skill gaps in your team that these roles could fill?

Speaking:

Kitty Ling

Senior Manager / NZ Lead Retail Analytics, Woolworths NZ Limited

Discussion Group: Contemporary D&A Roles

May 19 | 16:00 - 16:35

By now everyone has heard of the term Chief Data Officer, but what about other emerging D&A roles that are increasingly becoming more common place such as Data Ethicist’s, Data Journalist’s, Data Translator’s and others. Do you have skill gaps in your team that these roles could fill?

Register now

Speaking:

4:35

Get Refreshed! Mingle

 

Get Refreshed! Mingle

May 19 | 16:35 - 17:00

 

Register now

Speaking:

5:00

Thought leadership session

Thought leadership session

May 19 | 17:00 - 17:25

Register now

Speaking:

5:25

Closing keynote: Mark Rees, Chief Technology Officer, Xero

Closing keynote: Mark Rees, Chief Technology Officer, Xero

May 19 | 17:25 - 17:50

Register now

Speaking:

5:50

Cheers with Peers

Opportunity to continue the conversations in a fun and entertaining way at our CDAO cocktail reception.

Cheers with Peers

May 19 | 17:50

Opportunity to continue the conversations in a fun and entertaining way at our CDAO cocktail reception.

Register now

Speaking:

6:50

Data after Dark VIP Dinner

Invitation only hosted by KPMG

Data after Dark VIP Dinner

May 19 | 18:50

Invitation only hosted by KPMG

Register now

Speaking:

Conference Day 2
11 November 2021
08:20

Register; grab coffee and a breakfast bite. Mix, mingle and say hello to peers old and new.

Register; grab coffee and a breakfast bite. Mix, mingle and say hello to peers old and new.

May 20 | 08:20 - 08:50

Register now

Speaking:

08:50

Welcome from Chairperson

Welcome from Chairperson

May 20 | 08:50 - 09:00

Register now

Speaking:

09:00

Keynote Presentation: Data Strategy Roadmap and work in ethical use of data

Speaking:

Eleisha Hawkins

General Manager Data System Strategy and Capability, Stats NZ

Keynote Presentation: Data Strategy Roadmap and work in ethical use of data

May 20 | 09:00 - 09:25

Register now

Speaking:

09:25

Thought Leader Presentation

 

Thought Leader Presentation

May 20 | 09:25 - 09:50

 

Register now

Speaking:

09:50

Awaken Data Investment and Opportunity – and Treat Data as a Strategic Asset

Speaking:

Gladwin Mendez

Data and Technology Operations Officer, Fisher Funds

Awaken Data Investment and Opportunity – and Treat Data as a Strategic Asset

May 20 | 09:50 - 10:25

Register now

Speaking:

10:25

Thought Leadership: The Fastest Path to Business Value: Modernization with Data Lineage, Data Catalog, and Visualization

In this session we will discuss the issues facing most organizations with lack of visibility, documentation, legacy systems, and how to quickly move and modernize your enterprise architecture.  Auto-documentation, data lineage, impact analysis, and business semantic graphing that brings an incredible level of visibility, auditability and context to the entire organization. Many companies are able to change the landscape in just a few short months with modern cataloging and harvesting options. We’ll discuss how we got here, and how we can get to where we want to be with real sustainability and value.

Thought Leadership: The Fastest Path to Business Value: Modernization with Data Lineage, Data Catalog, and Visualization

May 20 | 10:25 - 10:50

In this session we will discuss the issues facing most organizations with lack of visibility, documentation, legacy systems, and how to quickly move and modernize your enterprise architecture.  Auto-documentation, data lineage, impact analysis, and business semantic graphing that brings an incredible level of visibility, auditability and context to the entire organization. Many companies are able to change the landscape in just a few short months with modern cataloging and harvesting options. We’ll discuss how we got here, and how we can get to where we want to be with real sustainability and value.

Register now

Speaking:

10:50

Get Refreshed! Mingle

Get Refreshed! Mingle

Come to the ‘Meet the Speakers Lounge’ within the Exhibition Area

Get Refreshed! Mingle

May 20 | 10:50 - 11:20

Get Refreshed! Mingle

Come to the ‘Meet the Speakers Lounge’ within the Exhibition Area

Register now

Speaking:

11:20

Data literacy, and Partnerships for Sustaining Change and Scalability

This session will examine Loyalty NZ’s new model that has built a very close partnership between the data and technology teams, and the business teams. We will look at the big results being won as a result of these partnerships, and the lessons learned along the way. It will also look at their data literacy programme, biases and why they matter, and why humans are destined to make bad decisions with data.

Speaking:

Brian Ferris

C3O - Chief Data, Analytics & Technology Officer, Loyalty New Zealand

Data literacy, and Partnerships for Sustaining Change and Scalability

May 20 | 11:20 - 11:45

This session will examine Loyalty NZ’s new model that has built a very close partnership between the data and technology teams, and the business teams. We will look at the big results being won as a result of these partnerships, and the lessons learned along the way. It will also look at their data literacy programme, biases and why they matter, and why humans are destined to make bad decisions with data.

Register now

Speaking:

11:45

Thought leadership session - Keynote Case Study: Data Governance transformation for data risk reduction

 

Thought leadership session - Keynote Case Study: Data Governance transformation for data risk reduction

May 20 | 11:45 - 12:10

 

Register now

Speaking:

12:10

Keynote panel: 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:

Kari Jones

General Manager Data & Analytics, New Zealand Post

Keynote panel: Getting up the value chain - How do you demonstrate value in a time of uncertainty?

May 20 | 12:10 - 12:45

  • 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
Register now

Speaking:

12:45

Mix and mingle over lunch.

Mix and mingle over lunch.

May 20 | 12:45 - 13:50

Register now

Speaking:

Track A - Data Governance and Risk Management

1:55

Building Trust through AI Governance

Artificial intelligence (AI) is viewed as a competitive edge factor in almost every industry. Organizations have nevertheless been slow to embrace it because of the challenges and unknowns it introduces. Demystifying the risks inherent to AI is a key step in overcoming those challenges and more fully understanding how to extract AI's value.

Although the regulatory landscape around AI is still in infancy stage (GDPR, EU’s AI regulation etc), organizations can still begin to tackle AI risks. This requires robust, transparent, trustworthy and technology-enabled governance. As part of its AI journey, Spark has developed a AI Governance framework enabled by their data and digital architecture.

During the session, the speaker will share the learnings in designing the AI governance and outline the strategies to operationalize it across the AI lifecycle. This will include topics like:

  • Explainable AI
  • Fairness in AI
  • Enabling Transparency
  • Human centred design approach
  • Delivering AI governance as a service

Speaking:

Habib Baluwala

Chapter Lead - Data Science, Spark New Zealand

Building Trust through AI Governance

May 20 | 13:55 - 14:30

Artificial intelligence (AI) is viewed as a competitive edge factor in almost every industry. Organizations have nevertheless been slow to embrace it because of the challenges and unknowns it introduces. Demystifying the risks inherent to AI is a key step in overcoming those challenges and more fully understanding how to extract AI's value.

Although the regulatory landscape around AI is still in infancy stage (GDPR, EU’s AI regulation etc), organizations can still begin to tackle AI risks. This requires robust, transparent, trustworthy and technology-enabled governance. As part of its AI journey, Spark has developed a AI Governance framework enabled by their data and digital architecture.

During the session, the speaker will share the learnings in designing the AI governance and outline the strategies to operationalize it across the AI lifecycle. This will include topics like:

  • Explainable AI
  • Fairness in AI
  • Enabling Transparency
  • Human centred design approach
  • Delivering AI governance as a service
Register now

Speaking:

Track B - Data Innovation

1:55

Thought Leadership Session

 

Thought Leadership Session

May 20 | 13:55 - 14:30

 

Register now

Speaking:

Track C - Interactive discussion groups Day 2

1:55

Discussion Group: Understanding if and how AI may add value to your business

  • Is today’s AI simply yesterday’s statistical modelling?
  • Where does the value of AI really lie compared to simpler, faster, and cheaper methods of advanced analytics?
  • Is the value in the technology or the business challenge/opportunity?

Speaking:

Chris van Houtte

Data Scientist, Tu Ora - Compass Health

Discussion Group: Understanding if and how AI may add value to your business

May 20 | 13:55 - 14:30

  • Is today’s AI simply yesterday’s statistical modelling?
  • Where does the value of AI really lie compared to simpler, faster, and cheaper methods of advanced analytics?
  • Is the value in the technology or the business challenge/opportunity?
Register now

Speaking:

Track A - Data Governance and Risk Management

2:30

What does a good data governance structure look like?

  • Who should be part of the committee?
  • What frameworks should be used?
  • Strategies for ensuring data governance is prioritised within your organisation
  • What are the minimums any business needs to do to get a good foundation?
  • How do we handle PII (personal identifying information)?

 

Reserved for Westpac NZ

Speaking:

What does a good data governance structure look like?

May 20 | 14:30 - 15:05

  • Who should be part of the committee?
  • What frameworks should be used?
  • Strategies for ensuring data governance is prioritised within your organisation
  • What are the minimums any business needs to do to get a good foundation?
  • How do we handle PII (personal identifying information)?

 

Reserved for Westpac NZ

Register now

Speaking:

Track B - Data Innovation

2:30

Success stories – Using Advanced Analytics and Knowledge Modelling to deliver Impactful Transport Outcomes

  • Near real-time monitoring of Aotearoa’s State Highway Network
  • Investing in interventions with sustainability at the top of mind

Speaking:

Dr Vikash Kumar

Manager, Advanced Analytics & Modelling, NZ Transport Agency

Success stories – Using Advanced Analytics and Knowledge Modelling to deliver Impactful Transport Outcomes

May 20 | 14:30 - 15:05

  • Near real-time monitoring of Aotearoa’s State Highway Network
  • Investing in interventions with sustainability at the top of mind
Register now

Speaking:

Track C - Interactive discussion groups Day 2

2:30

Data Science KnowledgeHub 2022

Given the rapid rate of change this session brings together the data science community to discuss their pressing challenges to deep-dive into where and how there are opportunities for progress.

  • Impact - How can products and data science outputs be embedded in business processes or decisions to realise value?
  • Strategy - How to change the mind-set to engage data science along the implementation of projects to deliver value: DataOps methodology.
  • Upskill - What is data science to your organisation? Are data scientists being set up to fail…do data scientists need superpowers to do it all?
  • Storytelling - Bringing data and model output/metrics to life that various stakeholders can understand and act on.
  • Curiosity – How to keep asking 'why' and 'what if' about the real world problem you are trying to build a solution to solve.

Data Science KnowledgeHub 2022

May 20 | 14:30 - 15:05

Given the rapid rate of change this session brings together the data science community to discuss their pressing challenges to deep-dive into where and how there are opportunities for progress.

  • Impact - How can products and data science outputs be embedded in business processes or decisions to realise value?
  • Strategy - How to change the mind-set to engage data science along the implementation of projects to deliver value: DataOps methodology.
  • Upskill - What is data science to your organisation? Are data scientists being set up to fail…do data scientists need superpowers to do it all?
  • Storytelling - Bringing data and model output/metrics to life that various stakeholders can understand and act on.
  • Curiosity – How to keep asking 'why' and 'what if' about the real world problem you are trying to build a solution to solve.
Register now

Speaking:

Track A - Data Governance and Risk Management

3:05

Case Study: Machine learning for social good – getting to ‘go’

There is a large gap between the theory and practice of machine learning for social good. This session explains how a human-centred approach can help, using case studies of machine learning tools that support frontline screening decisions about child maltreatment allegations.

The first case study is the Allegheny Family Screening Tool, developed and implemented by the Centre for Social Data Analytics (CSDA, AUT) and the Allegheny County Department of Human Services (PA, United States), which informs the decisions of frontline staff who screen child maltreatment allegations in Allegheny County. This session will cover both the technical and sociotechnical aspects of the development, deployment and management of this tool, which has been in use since 2016, and two other CSDA-developed child maltreatment decision aid tools for counties in Colorado, US.

Speaking:

Dr Nina Anchugina

Senior Research Fellow (Data Science) and Deputy Director, Centre for Social Data Analytics (CSDA), Auckland University of Technology

Dr Diana Benavides Prado

Senior Data Scientist, Centre for Social Data Analytics (CSDA), Auckland University of Technology

Case Study: Machine learning for social good – getting to ‘go’

May 20 | 15:05 - 15:40

There is a large gap between the theory and practice of machine learning for social good. This session explains how a human-centred approach can help, using case studies of machine learning tools that support frontline screening decisions about child maltreatment allegations.

The first case study is the Allegheny Family Screening Tool, developed and implemented by the Centre for Social Data Analytics (CSDA, AUT) and the Allegheny County Department of Human Services (PA, United States), which informs the decisions of frontline staff who screen child maltreatment allegations in Allegheny County. This session will cover both the technical and sociotechnical aspects of the development, deployment and management of this tool, which has been in use since 2016, and two other CSDA-developed child maltreatment decision aid tools for counties in Colorado, US.

Register now

Speaking:

Track B - Data Innovation

3:05

Thought Leadership Session

Thought Leadership Session

May 20 | 15:05 - 15:40

Register now

Speaking:

Track A - Data Governance and Risk Management

3:40

Panel: Viewing Data Governance through a Risk Lens

  • Deciding the critical data elements of each business
  • A risk based approach to data quality and lineage
  • Private information and how to manage it
  • Ensuring Data risk is minimised from a strategic and operational point of view
  • Managing issues of stewardship and custodianship
  • Where is our data and what data do we have? Why is there a habit of always collecting?
  • Life cycle management and data disposal
  • How the data asset is required, acquired and used
  • Using awareness and education to encourage business units to take more ownership of their data
  • Bringing the data under the appropriate technical controls

 

Speaking:

Bryan Ng

Head of Data and Insights, Stuff New Zealand

Panel: Viewing Data Governance through a Risk Lens

July 23 | 15:40 - 16:15

  • Deciding the critical data elements of each business
  • A risk based approach to data quality and lineage
  • Private information and how to manage it
  • Ensuring Data risk is minimised from a strategic and operational point of view
  • Managing issues of stewardship and custodianship
  • Where is our data and what data do we have? Why is there a habit of always collecting?
  • Life cycle management and data disposal
  • How the data asset is required, acquired and used
  • Using awareness and education to encourage business units to take more ownership of their data
  • Bringing the data under the appropriate technical controls

 

Register now

Speaking:

Track B - Data Innovation

3:40

Case study Improving data sets to deliver insights for health service improvements across the region

Speaking:

Chris van Houtte

Data Scientist, Tu Ora - Compass Health

Case study Improving data sets to deliver insights for health service improvements across the region

July 23 | 15:40 - 16:15

Register now

Speaking:

Track C - Interactive discussion groups Day 2

3:40

Discussion Group: Selling your data story within your business

  • Balancing the art of the possible with your ability to deliver and meet expectations
  • Communicating to the company what data they need to move forward

Speaking:

Kitty Ling

Senior Manager / NZ Lead Retail Analytics, Woolworths NZ Limited

Discussion Group: Selling your data story within your business

July 23 | 15:40 - 16:15

  • Balancing the art of the possible with your ability to deliver and meet expectations
  • Communicating to the company what data they need to move forward
Register now

Speaking:

Track B - Data Innovation

4:15

Defining your cloud platform strategy

  • Template based delivery for building the core data sets for business
  • Running the redesign with Agile ways of working and empowering the people to deliver independently
  • Moving towards a self-service data engineering model
  • Building the hybrid data platform in Azure and Snowflake to serve the Structured, Semi-structured and unstructured data in a common place

Speaking:

Saurabh Deshpande

Chapter Lead Data Engineering, Spark New Zealand

Defining your cloud platform strategy

July 23 | 16:15 - 16:50

  • Template based delivery for building the core data sets for business
  • Running the redesign with Agile ways of working and empowering the people to deliver independently
  • Moving towards a self-service data engineering model
  • Building the hybrid data platform in Azure and Snowflake to serve the Structured, Semi-structured and unstructured data in a common place
Register now

Speaking:

Track C - Interactive discussion groups Day 2

4:15

Case study: How Fraedom / Visa leverages Data Science & Analytics internally to improve product and business efficiencies

  • Becoming more data driven
  • Data maturity

 

Speaking:

Dr David Duan

Data Science Stream Lead & Principal Data Scientist, Fraedom

Case study: How Fraedom / Visa leverages Data Science & Analytics internally to improve product and business efficiencies

July 23 | 16:15 - 16:40

  • Becoming more data driven
  • Data maturity

 

Register now

Speaking:

4:50

Get Refreshed! Mingle

Get Refreshed! Mingle

May 20 | 16:50 - 17:10

Register now

Speaking:

5:10

Closing 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?

Closing Keynote Discussion Panel: Data–driven Decision Making during a Crisis

July 23 | 17:10 - 17:40

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?
Register now

Speaking:

5:40

Close of CDAO New Zealand 2021

Close of CDAO New Zealand 2021

May 20 | 17:40

Register now

Speaking:

The following Terms and Conditions (“Terms”) apply to you or your proxy in relation to your registration for this Corinium Global Intelligence (“Corinium”) offer. The definition of “registration” for purposes of these Terms will include all anyone who completes the above form. By entering your contact details, you agree to these Terms.

All registrations are subject to final approval.
15% GST will be applied upon registration. All prices quoted are exclusive of GST.
Please note: No additional discounts can be applied on top of existing special offers or discounts.
Vendor prices apply to any delegate from a company providing technology or services to end-user companies. Contractors who are attending on behalf of end users are expected to register as vendors. Any vendor / solution provider company that registers at the end-user rate will automatically be charged at the vendor rate.  Completing this registration form means you agree to this condition of registration.
As soon as we have processed your registration, we will email you confirmation. We look forward to seeing you at the conference.
For any questions concerning your registration, please email us at info@coriniumintel.com



Payment terms
Payment is due in full upon completion and on submission of this registration form. By returning this registration form you agree to Corinium issuing an invoice or charging your credit card for the amount stated above and you agree to pay Corinium the price in order to secure your conference package. Your registration will not be confirmed until payment has been made by credit card or cleared funds are received in full. Admission to the conference will be refused if payment has not been received. All payments will be issued with a receipt and the delegate is liable to pay any necessary taxes and service fees where applicable.


Cancellation and substitution policy
Cancellations must be received in writing and we do not offer refunds once payment has been made. If the cancellation is received more than 14 days before the conference, attendees will receive a full credit to a future conference. Cancellations received 14 days or less (including the fourteenth day) prior to the conference will be liable for the full fee. A substitution from the same organisation can be made at any time in writing at no extra charge. In the event that Corinium Global Intelligence cancels a conference, payments received at the cancellation date will be credited towards attendance at a future conference or in the event of postponement by Corinium Global Intelligence, towards the rescheduled date. Credit notes remain valid for twelve months

Changes to conference and agenda
Corinium Global Intelligence reserves the right to postpone or cancel an event, to change the location or alter the advertised speakers for an event.
Corinium Global Intelligence is not responsible for any loss or damage as a result of substitution, alteration, postponement or cancellation of an event due to causes beyond its control including without limitation, acts of God, natural disasters, sabotage, accident, trade or industrial disputes, terrorism or hostilities. In the event that a conference is cancelled, Corinium Global Intelligence is not liable for any costs incurred by delegates in connection with their attendance.

Occasionally it is necessary for reasons beyond our control to alter the content and timing of the programme, venue or the identity of the speakers without any liability to the delegates. Changes to the agenda will be updated on our website as soon as possible.

Disclosure of your information.
You agree that we have the right to share such portions of your personal information as may be appropriate with selected third parties including: Business partners, suppliers and sub-contractors for the performance of any contract we enter into with either them or you.
Professional organisations involved in the provision of services for the event contracted for. Sponsors - we may share your information with event sponsors who may contact you in relation to special offers, products and services related to your role within your company. You may also opt-out at any time by emailing info@coriniumintel.com.

Data protection
The personal information shown and/or provided by you will be held in a database. It may be used to keep you up to date with developments in your industry. Sometimes your details may be obtained or made available to third parties for marketing purposes. If you do not with your details to be used for this purpose, please email us at info@coriniumintel.com

 

Please refer to our Privacy Policy for further details.