<img height="1" width="1" style="display:none" alt="" src="https://www.facebook.com/tr?id=367542720414923&amp;ev=PageView&amp;noscript=1">

Chief Data & Analytics Officer Sydney

2-4 April, 2019

PDF Agenda
Register
Pre-Conference
April 2nd 2019

Teams, Talent & Diversity

08:15

Registration, Coffee & Networking

Registration, Coffee & Networking

April 2 | 08:15 - 09:00

Register

Speaking:

Teams, Talent & Diversity

09:00

Chair’s Opening Remarks

Speaking:

Chair’s Opening Remarks

April 2 | 09:00 - 09:10

Register

Speaking:

Teams, Talent & Diversity

09:10

Keynote Presentation: Strategy, People and Culture- The Required Evolution to Support the Data-Driven Organisation

· What role will data and analytics teams play in the successful future of corporations? · The important role a strategy-led approach to designing and leading analytics teams is having in Telstra T22 strategy.

Speaking:

Keynote Presentation: Strategy, People and Culture- The Required Evolution to Support the Data-Driven Organisation

April 2 | 09:10 - 09:35

· What role will data and analytics teams play in the successful future of corporations? · The important role a strategy-led approach to designing and leading analytics teams is having in Telstra T22 strategy.

Register

Speaking:

Teams, Talent & Diversity

09:35

Keynote Panel Discussion: Why Data Driven Leaders Should Be Supporting Team Diversity

  • How leaders can better support diversity in an organisation – understanding differing employee needs.
  • Overcoming the potential for algorithmic bias - How a team diversity can actually produce more balanced results.
  • Analysing the traditional 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:

Keynote Panel Discussion: Why Data Driven Leaders Should Be Supporting Team Diversity

April 2 | 09:35 - 10:10

  • How leaders can better support diversity in an organisation – understanding differing employee needs.
  • Overcoming the potential for algorithmic bias - How a team diversity can actually produce more balanced results.
  • Analysing the traditional 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.
Register

Speaking:

Teams, Talent & Diversity

10:10

Interactive Roundtables: Building Teams, Nurturing Talent – Top Tips Revealed

A chance to forge valuable industry connections, exchange ideas and troubleshoot common challenges. Share your questions and experiences with fellow delegates at your table in this informal setting.

Interactive Roundtables: Building Teams, Nurturing Talent – Top Tips Revealed

April 2 | 10:10 - 10:40

A chance to forge valuable industry connections, exchange ideas and troubleshoot common challenges. Share your questions and experiences with fellow delegates at your table in this informal setting.

Register

Speaking:

Teams, Talent & Diversity

10:40

Mid-Morning Coffee & Networking

Mid-Morning Coffee & Networking

April 2 | 10:40 - 11:10

Register

Speaking:

Teams, Talent & Diversity

11:10

Keynote Presentation: The Skills Beyond the Science: Becoming a More Successful Data Scientist

Speaking:

Keynote Presentation: The Skills Beyond the Science: Becoming a More Successful Data Scientist

April 2 | 11:10 - 11:35

Register

Speaking:

Teams, Talent & Diversity

11:35

Presentation: How to Attract and Retain Top Performers in the Data & Analytics Industry

  • The effects that culture has on attracting talent.
  • How to attract top talent in a candidate-short market.
  • How to engage and inspire through a recruitment process.
  • How do the top analytics teams attract and retain their talent?

Speaking:

Presentation: How to Attract and Retain Top Performers in the Data & Analytics Industry

April 2 | 11:35 - 12:00

  • The effects that culture has on attracting talent.
  • How to attract top talent in a candidate-short market.
  • How to engage and inspire through a recruitment process.
  • How do the top analytics teams attract and retain their talent?
Register

Speaking:

Teams, Talent & Diversity

12:00

Panel Discussion: Bridging the Talent Gap- How Universities and Industry Can Work Together to Recruit, Develop and Retain Top Data Talent

This session will explore how universities and industry can partner to solve some of the biggest talent challenges. We will explore how universities and industry can create a revolving door of talent and ideas to drive innovation. The panel will feature industry representatives who will share their personal career journeys and tips for graduates on how to build careers in data. Meanwhile, graduates will discuss what they seek from employers and what will motivate them to stay.

  • Recruitment: Where is industry finding data talent? How is that changing? What skills – hard and soft – are in greatest demand?
  • Development: Where are the biggest data skill gaps – both in existing staff and in new recruits? How can large and small enterprises develop data skills? Where can they turn to for help?
  • Retention: So now that you’ve hired and developed data mavens, how can you keep them? What is industry doing to retain top staff? What do graduates want?

Bridging the gap: How are industry and university working together? What else needs to be done?

Speaking:

Panel Discussion: Bridging the Talent Gap- How Universities and Industry Can Work Together to Recruit, Develop and Retain Top Data Talent

April 2 | 12:00 - 12:45

This session will explore how universities and industry can partner to solve some of the biggest talent challenges. We will explore how universities and industry can create a revolving door of talent and ideas to drive innovation. The panel will feature industry representatives who will share their personal career journeys and tips for graduates on how to build careers in data. Meanwhile, graduates will discuss what they seek from employers and what will motivate them to stay.

  • Recruitment: Where is industry finding data talent? How is that changing? What skills – hard and soft – are in greatest demand?
  • Development: Where are the biggest data skill gaps – both in existing staff and in new recruits? How can large and small enterprises develop data skills? Where can they turn to for help?
  • Retention: So now that you’ve hired and developed data mavens, how can you keep them? What is industry doing to retain top staff? What do graduates want?

Bridging the gap: How are industry and university working together? What else needs to be done?

Register

Speaking:

Teams, Talent & Diversity

12:40

Closing Remarks from the Chair

Speaking:

Closing Remarks from the Chair

April 2 | 12:40 - 12:45

Register

Speaking:

Teams, Talent & Diversity

12:45

Buffet Lunch & Networking

Buffet Lunch & Networking

April 2 | 12:45 - 13:45

Register

Speaking:

Teams, Talent & Diversity

1:45

End of Teams, Talent & Diversity

End of Teams, Talent & Diversity

April 2 | 13:45

Register

Speaking:

Conference Day 1
April 3rd 2019
08:15

Registration, Coffee & Networking

Registration, Coffee & Networking

April 3 | 08:15

Register

Speaking:

08:50

Chair's Opening Remarks

Speaking:

Chair's Opening Remarks

April 3 | 08:50 - 09:00

Register

Speaking:

09:00

Audience Interactive Icebreaker

Let’s start how we mean to go on, in discussion making valuable industry connections. Turn to the person next to you and discuss - How would you like to transform your business through data?

Audience Interactive Icebreaker

April 3 | 09:00 - 09:10

Let’s start how we mean to go on, in discussion making valuable industry connections. Turn to the person next to you and discuss - How would you like to transform your business through data?

Register

Speaking:

09:10

Opening Keynote Presentation: Open Banking - The Industry Game Changer: How to Adapt and Thrive in a World of Openness

  • How open banking unlocks creativity and innovation for banks to deliver a great customer proposition.
  • Protecting customer information – balancing privacy vs. innovation.
  • Lessons learned from the UK – why consumer education is paramount. 
  • Use case examples of customer applications with open banking.

Speaking:

Opening Keynote Presentation: Open Banking - The Industry Game Changer: How to Adapt and Thrive in a World of Openness

April 3 | 09:10 - 09:35

  • How open banking unlocks creativity and innovation for banks to deliver a great customer proposition.
  • Protecting customer information – balancing privacy vs. innovation.
  • Lessons learned from the UK – why consumer education is paramount. 
  • Use case examples of customer applications with open banking.
Register

Speaking:

09:35

Lead Partner Presentation: How BI Failed BI - Rethinking what it takes to Drive a True Data Culture

Despite growing investment in big data and AI, adoption is still growing as an issue. Learn how organisations failed slow at being data driven, why it’s not the end users’ fault and how the world of data consumption is finally being disrupted to achieve more meaningful benefits.

Speaking:

Lead Partner Presentation: How BI Failed BI - Rethinking what it takes to Drive a True Data Culture

April 3 | 09:35 - 10:00

Despite growing investment in big data and AI, adoption is still growing as an issue. Learn how organisations failed slow at being data driven, why it’s not the end users’ fault and how the world of data consumption is finally being disrupted to achieve more meaningful benefits.

Register

Speaking:

10:00

International Keynote Presentation: The Connected Aircraft – How Honeywell Is Driving the Digital Transformation in the Aviation Industry

· AI & Predictive analytics as a core element of operational strategy – see how Honeywell Aerospace is leveraging big data analytics for improved performance and better decision making. Honeywell has shifted the organisation’s maturity from business intelligence to advanced analytics and is becoming a truly data-driven enterprise. · Using big data, predictive analytics, and secure communications technology Honeywell Connected Aircraft solutions are delivering improved customer experience, predictive aircraft maintenance for faster turnarounds and improve fuel efficiency for a more sustainable future.

Speaking:

International Keynote Presentation: The Connected Aircraft – How Honeywell Is Driving the Digital Transformation in the Aviation Industry

April 3 | 10:00 - 10:25

· AI & Predictive analytics as a core element of operational strategy – see how Honeywell Aerospace is leveraging big data analytics for improved performance and better decision making. Honeywell has shifted the organisation’s maturity from business intelligence to advanced analytics and is becoming a truly data-driven enterprise. · Using big data, predictive analytics, and secure communications technology Honeywell Connected Aircraft solutions are delivering improved customer experience, predictive aircraft maintenance for faster turnarounds and improve fuel efficiency for a more sustainable future.

Register

Speaking:

10:25

Mid-Morning Coffee & Networking in the Exhibition Area

Come to the ‘Meet the Speakers Lounge’ within the Exhibition area.

Mid-Morning Coffee & Networking in the Exhibition Area

April 3 | 10:25 - 10:55

Come to the ‘Meet the Speakers Lounge’ within the Exhibition area.

Register

Speaking:

10:55

Keynote Panel Discussion: Leading Change, Future-Proofing the Data-Driven Organisation

· Prioritisation of analytics projects: where to start? · Cross collaboration: how does analytics fit into a cross functional world? · AI for the real world: how is AI playing out in practice?

Speaking:

Keynote Panel Discussion: Leading Change, Future-Proofing the Data-Driven Organisation

April 3 | 10:55 - 11:30

· Prioritisation of analytics projects: where to start? · Cross collaboration: how does analytics fit into a cross functional world? · AI for the real world: how is AI playing out in practice?

Register

Speaking:

11:30

Presentation: Are you ready for Epic Disruption?

  • How leading companies invest and innovate to harness the power of disruptive technologies like Artificial Intelligence, 5G and Quantum Computing.
  • Deliberately transforming the legacy business today, while helping to identify and ultimately scale new business opportunities for tomorrow.

Speaking:

Presentation: Are you ready for Epic Disruption?

April 3 | 11:30 - 11:55

  • How leading companies invest and innovate to harness the power of disruptive technologies like Artificial Intelligence, 5G and Quantum Computing.
  • Deliberately transforming the legacy business today, while helping to identify and ultimately scale new business opportunities for tomorrow.
Register

Speaking:

11:55

Keynote Presentation: The Maturity Curve in Analytics - When is Enough Enough on the Roller-coaster Ride?

  • Post initial monetisation of Data - where does scale stop?
  • The future demands of the role of the CDO and CAO, beyond establishing a competency and trust
  • Organisational structures - an advantage or prohibitor?

Speaking:

Keynote Presentation: The Maturity Curve in Analytics - When is Enough Enough on the Roller-coaster Ride?

April 4 | 11:55 - 12:20

  • Post initial monetisation of Data - where does scale stop?
  • The future demands of the role of the CDO and CAO, beyond establishing a competency and trust
  • Organisational structures - an advantage or prohibitor?
Register

Speaking:

12:20

The Journey to Self-Service Data

According to a recent report by McKinsey Global Institute data-driven organizations are 23 times more likely to acquire customers. Six times as likely to retain those customers. And 19 times as likely to be profitable when data is made easily accessible to the person closest to the business challenge. This presentation will describe how Disney, MoneyGram and Havas are deploying self-service data environments to accelerate the value derived from their corporate data.

Speaking:

The Journey to Self-Service Data

April 3 | 12:20 - 12:45

According to a recent report by McKinsey Global Institute data-driven organizations are 23 times more likely to acquire customers. Six times as likely to retain those customers. And 19 times as likely to be profitable when data is made easily accessible to the person closest to the business challenge. This presentation will describe how Disney, MoneyGram and Havas are deploying self-service data environments to accelerate the value derived from their corporate data.

Register

Speaking:

12:45

Lunch & Networking in the Exhibition Area

Lunch & Networking in the Exhibition Area

April 3 | 12:45 - 14:00

Register

Speaking:

Track A - Data Governance, Protection & Privacy

2:00

Presentation: Delivering Consistent, High Quality Master Data

· How to identify the cracks in your data quality framework? · How do you make teams accountable for data when it’s not part of their core responsibilities? · How do you create on-going accountability for data from the front-line through to the data team?

Speaking:

Presentation: Delivering Consistent, High Quality Master Data

April 3 | 14:00 - 14:35

· How to identify the cracks in your data quality framework? · How do you make teams accountable for data when it’s not part of their core responsibilities? · How do you create on-going accountability for data from the front-line through to the data team?

Register

Speaking:

Track B - Case Studies Driving Better Business Outcomes

2:00

Presentation: DataRobot Vs The Red Queen

The Red Queen Effect is a term used to describe situations in which considerable effort is being made just to sustain the Status Quo. Where your efforts to innovate and compete are met with an equal effort from your competitors. How can your company gain an edge in competing on analytics? In this talk, we will describe many of the factors that are holding back today's analytics teams and then describe how DataRobot has helped organisations escape from the Red Queen's dungeon.

Speaking:

Presentation: DataRobot Vs The Red Queen

April 3 | 14:00 - 14:35

The Red Queen Effect is a term used to describe situations in which considerable effort is being made just to sustain the Status Quo. Where your efforts to innovate and compete are met with an equal effort from your competitors. How can your company gain an edge in competing on analytics? In this talk, we will describe many of the factors that are holding back today's analytics teams and then describe how DataRobot has helped organisations escape from the Red Queen's dungeon.

Register

Speaking:

Track C - Strategy & Leadership

2:00

Break-out: The Evolving C-Suite- Changing Leadership Styles to Fit Intelligent Enterprises

· What does effective data leadership look like? · How is the skillset changing? · How can you get your recommendations heard? · Making data meaningful to the business.

Speaking:

Break-out: The Evolving C-Suite- Changing Leadership Styles to Fit Intelligent Enterprises

April 3 | 14:00 - 14:35

· What does effective data leadership look like? · How is the skillset changing? · How can you get your recommendations heard? · Making data meaningful to the business.

Register

Speaking:

Track A - Data Governance, Protection & Privacy

2:35

Presentation: Your Data. No Limits. How to Bust through Common Data Warehousing Barriers

Struggling to keep up with an ever-increasing demand for data at your organisation? Do you spend hours tinkering with your streaming data pipelines? Does that one data scientist with direct EDW access keep you up at night? This session will address how Netflix, Adobe and Nike overcame common shortcomings of data solutions by:

  • Designing and implementing a unique cloud-based architecture.
  • Unlocking unlimited concurrency and enabling instant scalability.
  • Taking advantage of built-in tuning and optimisation.

Speaking:

Presentation: Your Data. No Limits. How to Bust through Common Data Warehousing Barriers

April 3 | 14:35 - 15:10

Struggling to keep up with an ever-increasing demand for data at your organisation? Do you spend hours tinkering with your streaming data pipelines? Does that one data scientist with direct EDW access keep you up at night? This session will address how Netflix, Adobe and Nike overcame common shortcomings of data solutions by:

  • Designing and implementing a unique cloud-based architecture.
  • Unlocking unlimited concurrency and enabling instant scalability.
  • Taking advantage of built-in tuning and optimisation.
Register

Speaking:

Track B - Case Studies Driving Better Business Outcomes

2:35

Presentation: The Magic of Unsupervised Learning

Covering the recent breakthrough in AI tech this session will cover: · Teaching AI to learn by itself to understand our world and let it be creative to generate content automagically. · The mind blowing practical application of this technique like we normally see in science fiction: super resolution, morphing, etc.

Speaking:

Presentation: The Magic of Unsupervised Learning

April 3 | 14:35 - 15:10

Covering the recent breakthrough in AI tech this session will cover: · Teaching AI to learn by itself to understand our world and let it be creative to generate content automagically. · The mind blowing practical application of this technique like we normally see in science fiction: super resolution, morphing, etc.

Register

Speaking:

Track C - Strategy & Leadership

2:35

Break-out: Women & Diversity in Data

· Overcoming the algorithmic bias created by an all white, 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:

Break-out: Women & Diversity in Data

April 3 | 14:35 - 15:10

· Overcoming the algorithmic bias created by an all white, 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.

Register

Speaking:

Track D - Connect

2:35

Off the Record with...

Unscripted session with top international speaker.

Speaking:

Off the Record with...

April 3 | 14:35 - 15:10

Unscripted session with top international speaker.

Register

Speaking:

Track A - Data Governance, Protection & Privacy

3:10

Presentation: Leading Change- Data Sharing and Data Privacy – Can the Two Really be Achieved?

· How effective can protections around data be? How legally binding are they? · Tackling the inherent tension between open data and privacy- What is de-identified data really? Can that even be achieved with record level data? · How should data ethics inform your policy?

Speaking:

Presentation: Leading Change- Data Sharing and Data Privacy – Can the Two Really be Achieved?

April 3 | 15:10 - 15:45

· How effective can protections around data be? How legally binding are they? · Tackling the inherent tension between open data and privacy- What is de-identified data really? Can that even be achieved with record level data? · How should data ethics inform your policy?

Register

Speaking:

Track B - Case Studies Driving Better Business Outcomes

3:10

Presentation: Boosting Analytics Real-time and Business Performance with Big Data Fabric and AI

To outdo competition and increase revenue and market share, companies are turning to real-time analytics to gain intelligence from operational data and boost business performance. However, with the data volume exploding across increasingly siloed on-premises repositories and multi-cloud, companies are finding it hard to integrate and deliver data in real-time to business users.

Big Data Fabric powered by Data Virtualization integrates the data dispersed across multiple sources without any concern for data location, format, or latency, and delivers it in real-time to business users. This modern data architecture employs sophisticated cost-based optimization AI algorithms to boost the performance of data delivery so that business users can take immediate action.

This presentation will introduce:

  • The notion of big data fabric and the need for such architecture in modern data analytics.
  • Real-time performance innovations delivered through cost-based optimization algorithms and intelligent query optimization engines.
  • Use cases from customer deployments that have delivered business success.

Speaking:

Presentation: Boosting Analytics Real-time and Business Performance with Big Data Fabric and AI

April 3 | 15:10 - 15:45

To outdo competition and increase revenue and market share, companies are turning to real-time analytics to gain intelligence from operational data and boost business performance. However, with the data volume exploding across increasingly siloed on-premises repositories and multi-cloud, companies are finding it hard to integrate and deliver data in real-time to business users.

Big Data Fabric powered by Data Virtualization integrates the data dispersed across multiple sources without any concern for data location, format, or latency, and delivers it in real-time to business users. This modern data architecture employs sophisticated cost-based optimization AI algorithms to boost the performance of data delivery so that business users can take immediate action.

This presentation will introduce:

  • The notion of big data fabric and the need for such architecture in modern data analytics.
  • Real-time performance innovations delivered through cost-based optimization algorithms and intelligent query optimization engines.
  • Use cases from customer deployments that have delivered business success.
Register

Speaking:

Track C - Strategy & Leadership

3:10

Break-out: Getting Started with AI

· What should the organisational structure look like? · What tool/ techniques/ platforms (architecture) / what use cases can I solve? · What are the operational risks? · What's the right mix of roles - ML/ data/ software/ data engineers - will ML titles eventually disappear and ML become an integral part of the data engineer role?

Speaking:

Break-out: Getting Started with AI

April 3 | 15:10 - 15:45

· What should the organisational structure look like? · What tool/ techniques/ platforms (architecture) / what use cases can I solve? · What are the operational risks? · What's the right mix of roles - ML/ data/ software/ data engineers - will ML titles eventually disappear and ML become an integral part of the data engineer role?

Register

Speaking:

Track D - Connect

3:10

Let’s Talk: Financial Services

Wind down and network with those who have a common interest, work in a common field and can share their war stories!

Speaking:

Let’s Talk: Financial Services

April 3 | 15:10 - 15:45

Wind down and network with those who have a common interest, work in a common field and can share their war stories!

Register

Speaking:

3:45

Afternoon Tea & Networking in the Exhibition Area

Come to the ‘Meet the Speakers Lounge’ within the Exhibition area.

Afternoon Tea & Networking in the Exhibition Area

April 3 | 15:45 - 16:15

Come to the ‘Meet the Speakers Lounge’ within the Exhibition area.

Register

Speaking:

4:15

Keynote Presentation: Industry 4.0 – How Ready Are Australian Enterprises for the Fourth Industry Revolution

Today we stand at the beginning of a transformation that will fundamentally change our economy and society: The Fourth Industrial Revolution (Industry 4.0). This revolution is predicted to be largest transformation in the history of industry, and its power, speed and scale will eclipse all that has gone before. Optus's Centre for Industry 4.0, will present insights on how ready Australian industries and enterprises are for the Fourth Industrial Revolution including 5G and how they are progressing with their current digital and digitalisation transformations. · What are the issues and technologies expected to have the biggest impact in the future? · How advanced are enterprises in their digital, data and analytics transformations? · What must enterprises do to succeed in the 4th Industrial Revolution.

Speaking:

Keynote Presentation: Industry 4.0 – How Ready Are Australian Enterprises for the Fourth Industry Revolution

April 3 | 16:15 - 16:40

Today we stand at the beginning of a transformation that will fundamentally change our economy and society: The Fourth Industrial Revolution (Industry 4.0). This revolution is predicted to be largest transformation in the history of industry, and its power, speed and scale will eclipse all that has gone before. Optus's Centre for Industry 4.0, will present insights on how ready Australian industries and enterprises are for the Fourth Industrial Revolution including 5G and how they are progressing with their current digital and digitalisation transformations. · What are the issues and technologies expected to have the biggest impact in the future? · How advanced are enterprises in their digital, data and analytics transformations? · What must enterprises do to succeed in the 4th Industrial Revolution.

Register

Speaking:

4:15

VIP Think Tank What’s Next for the Intelligent Enterprise? Trends, Talent & Technology

This exclusive session will facilitate the exchange of innovative ideas in a small invitation-only group setting for data and analytics leaders. Chatham House Rules.

VIP Think Tank What’s Next for the Intelligent Enterprise? Trends, Talent & Technology

April 3 | 16:15 - 17:15

This exclusive session will facilitate the exchange of innovative ideas in a small invitation-only group setting for data and analytics leaders. Chatham House Rules.

Register

Speaking:

4:30

Presentation: Next Best Action in Action- Case studies in Search & AI Powered Insights and Analytics

Say “search” and many people think Google and ten blue links.  Say “AI” and many people roll their eyes and wonder what’s hype and what’s real.  The reality is a modern search engine combined with AI techniques like machine learning, natural language processing and statistical analysis can unlock tremendous value across an organization well beyond ten blue links or log processing.  This use case driven talk will highlight 3 examples across financial services, automotive and customer experience where search and AI helped transform revenue, customer service and employee insights by asking the question: what’s my next best action?

Speaking:

Presentation: Next Best Action in Action- Case studies in Search & AI Powered Insights and Analytics

April 3 | 16:30 - 17:05

Say “search” and many people think Google and ten blue links.  Say “AI” and many people roll their eyes and wonder what’s hype and what’s real.  The reality is a modern search engine combined with AI techniques like machine learning, natural language processing and statistical analysis can unlock tremendous value across an organization well beyond ten blue links or log processing.  This use case driven talk will highlight 3 examples across financial services, automotive and customer experience where search and AI helped transform revenue, customer service and employee insights by asking the question: what’s my next best action?

Register

Speaking:

4:50

Aussie Innovators: Leveraging AI for Improved IVF Success

Speaking:

Aussie Innovators: Leveraging AI for Improved IVF Success

April 3 | 16:50 - 17:05

Register

Speaking:

5:05

Aussie Innovators: Data Science for Positive Social Impact

Speaking:

Aussie Innovators: Data Science for Positive Social Impact

April 3 | 17:05 - 17:20

Register

Speaking:

5:20

Chair’s Day One Closing Remarks

Speaking:

Chair’s Day One Closing Remarks

April 3 | 17:20 - 17:25

Register

Speaking:

5:25

CDAO Sydney 2019 Drinks Reception

CDAO Sydney 2019 Drinks Reception

April 3 | 17:25

Register

Speaking:

Conference Day 2
April 4th 2019
08:30

Registration, Coffee & Networking in the Exhibition Area

Registration, Coffee & Networking in the Exhibition Area

April 4 | 08:30

Register

Speaking:

09:00

Chair’s Opening Remarks

Chair’s Opening Remarks

April 4 | 09:00 - 09:10

Register

Speaking:

09:10

Keynote Presentation: Adaption and Adoption- Cloud Based Analytics Vs. In-House Lakes

· Do you need to build an in-house data lake first before moving to cloud? · What are the key benefits of each option? · Lessons learned from implementing each method.

Speaking:

Keynote Presentation: Adaption and Adoption- Cloud Based Analytics Vs. In-House Lakes

April 4 | 09:10 - 09:35

· Do you need to build an in-house data lake first before moving to cloud? · What are the key benefits of each option? · Lessons learned from implementing each method.

Register

Speaking:

09:35

Presentation: Developing a Data Literate Workforce

By 2020, revenues from big data and analytics products and services will eclipse $200 billion. Since 1993, Qlik have been helping customers making those investments and sharpen their competitive edge in an aggressive global economy. But for many, there’s a major stumbling block. Qlik’s research shows only 24% of business decision makers, from junior managers to the C-suite, feel fully confident in their ability to read, work with, analyse and argue with that data — the fundamental skills that define a person’s data literacy.The good news is that the majority (78%) said they would be willing to invest more time and energy into improving their data skillset. But what’s the best way to turn that interest into action? A Chief Data Officer (CDO) is the ideal candidate to lead and advocate for your data literacy initiative. A CDO who is expert in, and enthusiastic about, working with data can inspire the organisation to embrace a culture of data literacy. And when it’s embedded in the CDO’s own mission, potential resistance to a data literacy program is greatly reduced.

Speaking:

Presentation: Developing a Data Literate Workforce

April 4 | 09:35 - 10:00

By 2020, revenues from big data and analytics products and services will eclipse $200 billion. Since 1993, Qlik have been helping customers making those investments and sharpen their competitive edge in an aggressive global economy. But for many, there’s a major stumbling block. Qlik’s research shows only 24% of business decision makers, from junior managers to the C-suite, feel fully confident in their ability to read, work with, analyse and argue with that data — the fundamental skills that define a person’s data literacy.The good news is that the majority (78%) said they would be willing to invest more time and energy into improving their data skillset. But what’s the best way to turn that interest into action? A Chief Data Officer (CDO) is the ideal candidate to lead and advocate for your data literacy initiative. A CDO who is expert in, and enthusiastic about, working with data can inspire the organisation to embrace a culture of data literacy. And when it’s embedded in the CDO’s own mission, potential resistance to a data literacy program is greatly reduced.

Register

Speaking:

10:00

Keynote Data Leaders Panel: Thinking Like a Fox - Can Agile and Analytics Programs Really Go Hand-in-Hand?

Agile methodology is used to innovate at speed but in reality how many projects are left abandoned? What are the characteristics of a good analytics project? · Methodology: Is agile really appropriate for analytics programs? · Leadership: What planning and leadership elements are necessary to support analytics projects? · Metrics: How do you measure success?

Speaking:

Keynote Data Leaders Panel: Thinking Like a Fox - Can Agile and Analytics Programs Really Go Hand-in-Hand?

April 4 | 10:00 - 10:35

Agile methodology is used to innovate at speed but in reality how many projects are left abandoned? What are the characteristics of a good analytics project? · Methodology: Is agile really appropriate for analytics programs? · Leadership: What planning and leadership elements are necessary to support analytics projects? · Metrics: How do you measure success?

Register

Speaking:

10:35

Mid-Morning Coffee & Networking in the Exhibition Area

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

Mid-Morning Coffee & Networking in the Exhibition Area

April 4 | 10:35 - 11:05

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

Register

Speaking:

11:05

Keynote Presentation: Enabling the Global Exchange of Data for Accurate Weather Forecasting

  • Taking a look at how the Bureau of Meteorology’s technology layers allow standards basedinterchange of data to forecast weather in real-time.
  • How using social media sentiment feeds into the improved situational awareness – with use case examples.
  • Looking to the future: transforming to ensure the Bureau’s ability to exchange data globally fortimely data in tomorrow’s high tech world.

Speaking:

Keynote Presentation: Enabling the Global Exchange of Data for Accurate Weather Forecasting

April 3 | 11:05 - 11:30

  • Taking a look at how the Bureau of Meteorology’s technology layers allow standards basedinterchange of data to forecast weather in real-time.
  • How using social media sentiment feeds into the improved situational awareness – with use case examples.
  • Looking to the future: transforming to ensure the Bureau’s ability to exchange data globally fortimely data in tomorrow’s high tech world.
Register

Speaking:

11:30

Presentation: Accelerating the Data Strategy

Speaking:

Presentation: Accelerating the Data Strategy

April 4 | 11:30 - 11:55

Register

Speaking:

11:55

Keynote Presentation: "It’s Not a Data Transformation Without a Data-Driven Culture" - Critical Steps for a Successful Data-Driven Culture

Speaking:

Keynote Presentation: "It’s Not a Data Transformation Without a Data-Driven Culture" - Critical Steps for a Successful Data-Driven Culture

April 4 | 11:55 - 12:20

Register

Speaking:

12:20

Keynote Panel Discussion: Orchestrating Your AI Technologies

· How do you integrate cognitive technologies with existing processes and systems? · What are the challenges in integrating your AI stack? · How can you build a culture that supports emerging technologies?

Speaking:

Keynote Panel Discussion: Orchestrating Your AI Technologies

April 4 | 12:20 - 12:55

· How do you integrate cognitive technologies with existing processes and systems? · What are the challenges in integrating your AI stack? · How can you build a culture that supports emerging technologies?

Register

Speaking:

12:55

Buffet Lunch & Networking in the Exhibition Area

Buffet Lunch & Networking in the Exhibition Area

April 4 | 12:55 - 14:00

Register

Speaking:

Track A - Data Driven Innovation

2:00

Presentation: “Harold”- “Harold”: AI and Machine Learning Orchestration at Telstra

· The I in AI . · Ensuring data ownership - Why and how? · The highs and lows of using machine learning to replace traditional programming. · Bringing together different disciplines.

Speaking:

Presentation: “Harold”- “Harold”: AI and Machine Learning Orchestration at Telstra

April 4 | 14:00 - 14:35

· The I in AI . · Ensuring data ownership - Why and how? · The highs and lows of using machine learning to replace traditional programming. · Bringing together different disciplines.

Register

Speaking:

Track B - Case Studies Data Led Transformation

2:00

Presentation: Revealing Insights from the Department of Human Services’ User Cases

· Fostering stakeholder support for data strategy. · Demonstrating the use cases that delivered substantial value to customers. · Leveraging data visualisation to provide real-time insights.

Speaking:

Presentation: Revealing Insights from the Department of Human Services’ User Cases

April 4 | 14:00 - 14:35

· Fostering stakeholder support for data strategy. · Demonstrating the use cases that delivered substantial value to customers. · Leveraging data visualisation to provide real-time insights.

Register

Speaking:

Track C - Data Governance, Protection & Privacy

2:00

Break-out: Building an Organisation-wide Data Governance Framework Across All Departments

· How to win hearts and minds to foster support for data governance practices. · How to measure data quality at all levels of the organisation, from senior executives to customer facing staff. · Ensuring your data quality governance framework meets expectations of your customers, staff and regulators.

Speaking:

Break-out: Building an Organisation-wide Data Governance Framework Across All Departments

April 4 | 14:00 - 14:35

· How to win hearts and minds to foster support for data governance practices. · How to measure data quality at all levels of the organisation, from senior executives to customer facing staff. · Ensuring your data quality governance framework meets expectations of your customers, staff and regulators.

Register

Speaking:

Track A - Data Driven Innovation

2:35

Presentation: Don’t Forget the Human Science! The Psychology Behind Effective Leadership to Drive Change and Innovation

Speaking:

Presentation: Don’t Forget the Human Science! The Psychology Behind Effective Leadership to Drive Change and Innovation

April 4 | 14:35 - 15:45

Register

Speaking:

Track B - Case Studies Data Led Transformation

2:35

Presentation: Are you an Effective IDO - Insights Driven Organisation?

· Moving your organisation up the data maturity curve. · Educating the business to understand ‘what data can I collect – to make my job better?’ · How to build enterprise wide data and information capability?

Speaking:

Presentation: Are you an Effective IDO - Insights Driven Organisation?

April 4 | 14:35 - 15:10

· Moving your organisation up the data maturity curve. · Educating the business to understand ‘what data can I collect – to make my job better?’ · How to build enterprise wide data and information capability?

Register

Speaking:

Track C - Data Governance, Protection & Privacy

2:35

Break-out: Avoiding the Honey Trap - Addressing Practical Mechanisms to Improve Privacy in Data Ecosystems (Beyond User Access)

  • In the open data world, user access controls and anonymisation of data are either ineffective against re-identification of data or erode the usefulness of data sets.
  • To enable safe data sharing, a new techniques are being developed within research institutions specifically in the area of differential privacy.
  • Organisations will need to adapt their data management frameworks to both understand how to measure re-identification risk but also which techniques to use and when.

Speaking:

Break-out: Avoiding the Honey Trap - Addressing Practical Mechanisms to Improve Privacy in Data Ecosystems (Beyond User Access)

April 4 | 14:35 - 15:10

  • In the open data world, user access controls and anonymisation of data are either ineffective against re-identification of data or erode the usefulness of data sets.
  • To enable safe data sharing, a new techniques are being developed within research institutions specifically in the area of differential privacy.
  • Organisations will need to adapt their data management frameworks to both understand how to measure re-identification risk but also which techniques to use and when.
Register

Speaking:

Track B - Case Studies Data Led Transformation

3:10

Presentation: Leveraging Agile for Improved Efficiency Across BAU Analytics Projects

· Transforming the analytics teams’ performance, delivery times, throughput and reducing risk. · Giving all stakeholders visibility on delivery times. · Scaling agile processes across all analytics teams for improved performance.

Speaking:

Presentation: Leveraging Agile for Improved Efficiency Across BAU Analytics Projects

April 4 | 15:10 - 15:45

· Transforming the analytics teams’ performance, delivery times, throughput and reducing risk. · Giving all stakeholders visibility on delivery times. · Scaling agile processes across all analytics teams for improved performance.

Register

Speaking:

Track C - Data Governance, Protection & Privacy

3:10

Break-out: Revisiting Information Management and the Overlooked Hero - MDM

· Turning your data from islands of information to a rich and contextualised data set - creating a single source of truth for all relevant customer data. · Evolving your MDM strategy to realise value from critical business assets. · Trust, governance and MDM: Why metadata will be so important in the wake of GDPR.

Speaking:

Break-out: Revisiting Information Management and the Overlooked Hero - MDM

April 4 | 15:10 - 15:45

· Turning your data from islands of information to a rich and contextualised data set - creating a single source of truth for all relevant customer data. · Evolving your MDM strategy to realise value from critical business assets. · Trust, governance and MDM: Why metadata will be so important in the wake of GDPR.

Register

Speaking:

3:45

Afternoon Tea & Networking in the Exhibition Area

Afternoon Tea & Networking in the Exhibition Area

April 4 | 15:45 - 16:05

Register

Speaking:

ROUNDTABLES

4:05

Select Your Interactive Roundtable

During this interactive session, attendees will be split off by their individual roundtable to discuss the top 10 tips in data and analytics and what mistakes to avoid. Each facilitator will guide the discussion. Discussion will take place for 20 minutes, followed by 15 minutes of feedback to the rest of the delegates.

Topic 1: ‘The First 90 Days and Beyond’ – CDAOs and Their Lessons Learned

Leader: Jane Eastgate, Chief Data and Analytics Officer, Foxtel Co

Topic 2: Data Governance: The Dual Challenge of Enabling Data Driven Innovation whilst Managing Regulatory and Compliance Obligations

Leader: Andrew Lim, IT Service Manager – Master Data & Integration, Orora Group

Topic 3: Building a ‘fast-fail’ Analytics Culture

Moderator: Dr Siamak Tafavogh, Adjunct Academic, University of Technology Sydney

Contributor: Muhammed Ahmed Saeed, Head of Data, BI, and Decision Science, Kayo Sports

Topic 4: Successfully Deploying Machine Learning Tech

Leader: Brendan Haire, Head of Search and Machine Learning, Atlassian

Select Your Interactive Roundtable

April 4 | 16:05 - 16:40

During this interactive session, attendees will be split off by their individual roundtable to discuss the top 10 tips in data and analytics and what mistakes to avoid. Each facilitator will guide the discussion. Discussion will take place for 20 minutes, followed by 15 minutes of feedback to the rest of the delegates.

Topic 1: ‘The First 90 Days and Beyond’ – CDAOs and Their Lessons Learned

Leader: Jane Eastgate, Chief Data and Analytics Officer, Foxtel Co

Topic 2: Data Governance: The Dual Challenge of Enabling Data Driven Innovation whilst Managing Regulatory and Compliance Obligations

Leader: Andrew Lim, IT Service Manager – Master Data & Integration, Orora Group

Topic 3: Building a ‘fast-fail’ Analytics Culture

Moderator: Dr Siamak Tafavogh, Adjunct Academic, University of Technology Sydney

Contributor: Muhammed Ahmed Saeed, Head of Data, BI, and Decision Science, Kayo Sports

Topic 4: Successfully Deploying Machine Learning Tech

Leader: Brendan Haire, Head of Search and Machine Learning, Atlassian

Register

Speaking:

4:40

Chair’s Closing Remarks and Close of Conference

Chair’s Closing Remarks and Close of Conference

April 4 | 16:40

Register

Speaking:

PRE-CONFERENCE WORKSHOP A: Building an Analytics Practice from the Ground Up. Analytics Myths & Best Practices

CDAO Sydney Workshop

Time: 2-5pm, Tuesday 2 April 2019

Setting up an analytics practice from nothing takes a tremendous effort and skill. Dr. Abhi Seth has recently built up a successful analytics practice at Honeywell Aerospace starting from 3 to around 75 people in just a year and a half. Within a short time, Honeywell Aerospace Analytics team has driven analytics transformation across various enterprise functions such as supply chain, pricing etc. and delivered industry leading predictive analytics products to the market enabling top line growth. 

In this interactive workshop, Dr. Abhi Seth will share his experiences and best practices and take you step by step on how to set up your analytics practice and successfully deliver on analytics projects. 

Topics covered include:

  • Building an analytics function from ground zero and common challenges encountered.
  • Shifting your organisation’s maturity from BI to advanced analytics.
  • Generating the analytics demand
  • Analytics project intake, qualification & prioritisation.
  • How to monetize your data and deliver ROI on your analytics projects. 
  • Understanding who your stakeholders are and getting buy in.
  • Analytics organization structures Key functions.
  • Talent strategy - Identifying talent and growing your team, plus tips on combatting high attrition rates common in analytics. 
  • How to measure Analytics Success: Key Metrics.
  • Determining & delivering Analytics Value & ROI.

Facilitator:

Dr. Abhi Seth, Senior Director, Data Science & Analytics, Honeywell Aerospace USA

Book now (limited spaces)

PRE-CONFERENCE WORKSHOP B: Project Management – Embedding Data Governance into Your Delivery Lifecycle

CDAO Sydney Workshop 2

Time: 2-5pm, Tuesday 2 April 2019

As you well know, informing and guiding various business divisions on data quality and governance is an enormous undertaking. Key to success are 

a) educating all on the the importance of data governance.

b) demonstrating how to actually elevate the value of critical customer data.

This masterclass will take you through the core principles that underpin best practice data governance and data quality. Supported with practical case studies, you will develop a clear understanding of how best to develop a framework for your organisation.

Topics covered include:

  • Designing a methodology for governing your data assets.
  • Complying to a governance model on the back of data usage.
  • Implementing a program for capturing your metadata.
  • Creating a common set of simple and powerful customer quality metrics.

 

Facilitator:

Ai-Hua Kam, Head of Data & Technology, Compliance Program, Standard Chartered Bank

Book now (limited spaces)