Day One Conference

Felipe Flores
General Manager - Data Science and Analytics
Liberty Financial

Listen to how key stakeholders are viewing opportunities in the ANZ market when it comes to AI advances and what should inform your own programme. We hear from AI developers, businesses applying it most successfully, and government-funded programmes looking to aid Australian business innovation and competitiveness.

Panel Moderator:

Felipe Flores
General Manager - Data Science and Analytics
Liberty Finance

Panellists:

Bora Arslan
Chief Analytics Officer
IAG

Professor Fang Chen
Executive Director / Distinguished Professor
UTS Data Sci  / Faculty of Engineering & Information Technology University of Technology Sydney

Dr. Paul Dalby
Business Development Manager
Australian Institute for Machine Learning (AIML) at the University of Adelaide

Pia Andrews
Executive Director, Data, Insights and Transformation
Customer, Delivery and Transformation Group |  Department of Customer Service

Data is ostensibly and traditionally an unexciting topic but also the most fundamental to a successful AI effort - listen to a leading Australian expert from one of our biggest banks, ANZ, outline how they are making data fit-for-purpose.

• Hear what internal strategies are the most successful to modernise your data
• Understand the leading thinking on what strategies are the most effective in dealing with legacy systems and old data to make it useful

Emma Gray
Chief Data Officer
ANZ

In this talk, we will explore the applications of different facets of AI (machine learning, deep learning, NLP and computer vision) in online retail and e-commerce. We will walk through practical examples of how AI can be used to personalize customer experience and revolutionize your customer journey through personalized marketing campaigns, personalized recommendations, supply chain, CRM, reranked search and more. Kamelia will share her thoughts on building successful AI teams and an experiment-driven culture that will reshape your business by enhancing customer experience through AI

Kamelia Aryafar
Chief Algorithms Officer
Overstock

In this session, each of our experts will give a 15-minute presentation, followed by an on-stage Q&A. These presentations will look at the main functions that AI is being used to streamline and augment – giving you an insight into the precise way it can boost the productivity of a particular department within your own company or organisation.

• Commitment towards enabling our people deliver human experiences
• Using intelligence to help them deliver better experiences
• Driving change at scale everyday

Silvio Giorgio
GM Data Science, Finance & Commercial Services
AusPost

• Understanding of how to target your first automation
• Changing technical landscape and how finance is tackling disruptors
• Importance of educating yourselves & linking automation strategy to business priorities
• How we approached automations & are managing the pipeline

Lina Badethalav
Senior Finance Systems Operations Manager
AMP

Roundtable 1: Please join AWS in a rapid-fire round table discussion on the latest thinking and hot topics related to businesses adopting ML

• Is AI a business led or technology led initiative?
• What are the dominant ML use cases being actively chased in the enterprise? And what all of them have in common?
• General misconceptions and myth around what ML and data science is for the enterprise?
• Do we have the right expectations set for an ML initiative?
• Integration into downstream and upstream business systems and processes
• Who needs to be involved? the team structure
• Doing it in-house or outsource? If outsourced, to what extent and for what types or parts of initiatives

Facilitator:

Davinia Simon
Enterprise Business Lead
Amazon Web Services

Roundtable 2: The Convergence of RPA and Automated Machine Learning

In today’s era of AI and machine-assisted analytics, we are at a point of convergence for knowledge work that promises to fundamentally shift the economics of companies in all sectors. By combining RPA (robotic process automation) with AML (Automated Machine Learning), organisations can deliver systems that replicate patterns of application usage and specialised decision making. This enormously expands the range of knowledge work primed for automation and lays the foundation for systems that learn about themselves to improve with experience.
Join Automation Anywhere and DataRobot at the roundtable discussion to learn how organisations are using RPA and Automated Machine Learning, to automate business processes, reduce customer churn and transform to digital operating models.

Facilitator:

John Hawkins
Lead Data Scientist
Data Robot / Automation Anywhere

Roundtable 3: How to succeed with conversational AI chatbots

Blurb: Conversational AI chatbots have seen a lot of public failures, and only a few organisations have seen the promised benefits around cost reduction and improved customer experience.  In this roundtable, we'll be discussing the key elements of a successful chatbot, the best use cases to start with, and how to not end up as front page news!

Facilitator:

Mark Chatterton
Co-Founder
Ingenious AI

Roundtable 4: The Future of Work

• How to get started with AI in Automation
• Sharing best practices around your journey applying AI to Automation

Facilitator:

Tom Hutchinson
Executive, Digital Business Automation Solutions
IBM Hybrid Cloud & Integration Asia Pacific