CDAO Deep Dive: Data Innovation Online, A/NZ schedule

In this 45-minute Think Tank the panel will share their opinions on the topic and then pass the ‘virtual mic’ to the audience. Delegates will have the opportunity to voice out their insights, challenges and learnings. This will set the stage for future questions and encourage our speakers to address the delegates’ queries. During this session, the panel will encourage the delegates to share their thoughts on the topic above and well as preparing a few comments themselves to start the discussion.

 A small invitation-only group setting for data and analytics leaders. Strict Chatham House Rules.

Reserved for Sponsor

What are seen as the key elements that companies get wrong about data transformation? How can we learn from leading organisations that although the business may be moving along there is a need to innovate and evolve. A lot of organisations continue to struggle with leveraging their data. To become data-driven, organisations need to commit to treating data as a product and to transforming their culture.

Speakers:

• Zeeshan Javed, Head of Media Performance and Analytics, Foxtel (Australia)
• Adela Macarie, Chief Data & Analytics Officer, Group Treasury, Westpac (Australia)
• Jon Shen, Head of Data & Analytics, Teachers Health (Australia)
• Luke Aki, Manager - Insights and Intelligence, NZ Police (New Zealand)

On its own, data means nothing. Tying the data together with a good, coherent story makes a compelling narrative. It imprints the information on the minds of your audience in a way that’s precise and indelible.

• 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
• Data and its ROI - Business case for Investment in Data Platforms

(Reserved for sponsor)

Join this AI interview to learn:

- What are the best practices to align technical considerations with business opportunities?

- What are the main advantages of different AI models from a technical & business perspective?

- What kind of internal structure do you need in your business to ensure ethical AI?

Speakers:

• Dr Mahendra Samarawickrama, Director, The Centre for Sustainable AI (Australia)
• Allan McCay, Academic Fellow, University of Sydney Law School and Deputy Director Sydney Institute of Criminology (Australia)

Companies that invest in proprietary technologies for analytics face technical, orgnaisational and financial challenges if they consider migrating. Modernising analytics leverages legacy invested technologies while combining them with open languages and systems with minimal migration effort and costs. This session will look at how to get the best ROI from your business transformation.

(Reserved for sponsor)

The ongoing data scientist shortage sees enterprises reconfiguring data teams, upskilling promising employees, and partnering to improve talent pipelines. This session will discuss:

• How can organisations recruit develop and retain top data and analytics talent?
• Where are the skilled IT data professionals coming from?
• Analysing the traditional barriers to entry – are these beginning to change?
• How to encourage more diverse talent beyond just the recruitment phase?

Speakers:

• Dhivian Govender, Chief Data, Analytics and Strategy Officer, recoveriescorp (Australia)
• Manohar Esarapu, Chief Information Officer, City of Port Phillip (Australia)
• Masum Billah, Head of Data Science, Tuwharetoa Health (New Zealand)

In this session our speakers will share their insights on:

• Choosing the Intelligence strategy that meets your organisational needs
• How to work from theory to practice: What needs to change to make AI work for you?
• What is important when identifying and rectifying vulnerabilities
• Applying AI-driven processes and information to the decision-making process

(Reserved for sponsor)

Today AI is readily available for any product, without having to invest a ton in R&D. With many open-source libraries that can help you train ML models, with a fraction of the effort and the cost it’s important to understand where to start. Listen to the panel and learn what they believe are the best to use and why?

Speakers:

• Daniel Morse, Head of Technology - Customer, Australia Post (Australia)
• Gaurav Kumar, Director, Products and Data Science, Rakuten (Singapore)
• Angela Coble, Executive Director Business Technology (CIO) & MedTech Transformation, Johnson and Johnson (Australia)
• Rita Arrigo, Deputy Director, Centre for Industrial AI Research (CIAIRI) & Digital Strategist, Innovation, RMIT (Australia)

What happens when product designers, business developers, product managers and engineers work towards a common goal?

(Reserved for sponsor)

If you think you don't have sufficient data to benefit from ML this session will make you think again! 

As more companies begin to experiment with and deploy ML in different settings, the typical sequence is to gather data, learn some underlying structure then deploy an algorithm to systematically capture what you’ve learned.   

However, gathering, preparing, and enriching the right data is essential. Yet data insufficiency remains a key barrier to many companies willing to utilise ML.   

The panel will discuss how Continuous Intelligence can provide an adaptable, scalable and highly effective solution to the problem of data insufficiency. 

What are seen as the key elements that companies get wrong about data transformation? How can we learn from leading organisations that although the business may be moving along there is a need to innovate and evolve? A lot of organisations continue to struggle with leveraging their data. To become data-driven, organisations must commit to treating data as a product and transforming their culture.

Speakers:

• Zeeshan Javed, Head of Media Performance and Analytics, Foxtel (Australia)
• Adela Macarie, Chief Data & Analytics Officer, Group Treasury, Westpac (Australia)
• Jon Shen, Head of Data & Analytics, Teachers Health (Australia)
• Luke Aki, Manager - Insights and Intelligence, NZ Police (New Zealand)

In the highly competitive age of digital transformation financial service organizations are facing accelerated urgency to improve their customer and employee experience while simultaneously reducing operating costs, and managing risk and compliance.

To meet these competing demands on their business, these organizations are racing to deploy deep learning to achieve a new competitive edge by optimizing their back office operations with intelligent document processing, personalizing their customer experience with cutting edge NLP models, and reducing fraud and risk using state-of-the-art deep learning.

AI is here and delivering new capabilities to help businesses solve large and complicated challenges. Join Bob Gaines to learn what that means for your business and how deep learning is helping organizations:

• Achieve higher compliance, faster and with lower costs • Dramatically improve Customer Experience • Reduce time to value from years to weeks

Sergio Rego is a customer engineer at SambaNova Systems where he helps clients deploy purpose-built, deep learning solutions in weeks rather than years. Sergio started his career in financial services, where he worked in strategy; active and index management; and product design and management. Sergio also served as a senior data scientist and team manager for a system integrator where he helped federal government agencies deploy ML and AI solutions.

In this 45-minute Think Tank the panel will share their opinions on the topic and then pass the ‘virtual mic’ to the audience. Delegates will have the opportunity to voice out their insights, challenges and learnings. This will set the stage for future questions and encourage our speakers to address the delegates’ queries. During this session, the panel will encourage the delegates to share their thoughts on the topic above and well as preparing a few comments themselves to start the discussion.

 A small invitation-only group setting for data and analytics leaders. Strict Chatham House Rules.

Reserved for Sponsor

In the highly competitive age of digital transformation financial service organizations are facing accelerated urgency to improve their customer and employee experience while simultaneously reducing operating costs, and managing risk and compliance.

To meet these competing demands on their business, these organizations are racing to deploy deep learning to achieve a new competitive edge by optimizing their back office operations with intelligent document processing, personalizing their customer experience with cutting edge NLP models, and reducing fraud and risk using state-of-the-art deep learning.

AI is here and delivering new capabilities to help businesses solve large and complicated challenges. Join Bob Gaines to learn what that means for your business and how deep learning is helping organizations:

• Achieve higher compliance, faster and with lower costs • Dramatically improve Customer Experience • Reduce time to value from years to weeks

Sergio Rego is a customer engineer at SambaNova Systems where he helps clients deploy purpose-built, deep learning solutions in weeks rather than years. Sergio started his career in financial services, where he worked in strategy; active and index management; and product design and management. Sergio also served as a senior data scientist and team manager for a system integrator where he helped federal government agencies deploy ML and AI solutions.