Day One Conference

TUESDAY 17 SEPTEMBER 2019

KEEPING UP WITH GLOBAL AI PROGRESS AND KEY CONSIDERATIONS FOR IMPLEMENTATION

 

GO TO DAY TWO GO TO WORKSHOP

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08:00
Registration and welcome coffee

08:50
Opening remarks from the chair

Felipe Flores
General Manager - Data Science and Analytics
Liberty Financial

09:00
OPENING KEYNOTE: HOW BUSINESS IS BENEFITING FROM ML

Machine Learning developments are helping customers chart the course of their own digital transformations. Please join Olivier in exploring the state-of-the-art in Machine Learning and explore how AWS customers are adopting new levels of automation and augmentation in their businesses today. Sharing how ML innovations are globally helping organizations solve problems or improve their business.
Trends such as in the democratization of AI and advances in ML techniques are opening the doors to undifferentiated access to the technology from the start-up to the enterprise. The key question business is facing today, is not should they get started but how and the best way to achieve ROI.  

Olivier Klein
Head of Emerging Technologies, APAC    
Amazon Web Services      

09:30
Leaders’ panel: the evolution of AI uptake in business and government

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

 

10:15
Morning break

10:45
Chief Data Officer Keynote: How practical is AI for legacy companies and ingredients for successful deployment

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

11:15
SOLVING THE KNOWLEDGE WORKER’S DILEMMA
  • Applying AI and Machine Learning to the automation platform to
  • Improve employee productivity by automating mundane clerical tasks and assisting knowledge work
  • Accelerate customer-facing processes and ensure consistent experiences
  • Gain visibility and deep understanding of business operations running on the automation platform

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

11:45
International video keynote: ARTIFICIAL INTELLIGENCE: BUILDING THE FUTURE OF E-COMMERCE

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

12:15
Lunch

AI to boost, strengthen and enhance organisational departments and functions

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.

13:15
Embracing the AI journey and the path to operationalisation
  • Understand the concept of AI Maturity and the Gartner Model
  • Learn about the continuum of AI readiness and how it can be applied to your own context
  • Hear about the strategies being applied on the way to making AI a part of the business DNA

 

Bora Arslan
Chief Analytics Officer
IAG

13:30
Using AI to deliver superior on-the-ground, face-to-face customer service
  • 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

13:45
Joint Q+A
Bora Arslan
Chief Analytics Officer
IAG
Silvio Giorgio
GM Data Science, Finance & Commercial Services
AusPost
 
 
14:00
AI for efficient finance and accounting
  • 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

14:30
Computer Vision, Robotics and AI: how do they interrelate and what is the future for robotics
  • Historical context: why are we talking about AI, Big Data, and related technologies now?
  • What really is the state-of-the-art in smart robotics and what problems can be solved today
  • What are the barriers to further penetration and impact of the technologies?

 

Ian Reid
Professor in Robotics and Computer Science
University of Adelaide

15:00
Afternoon break
15:30
Panel Discussion: AI ethics and regulation: what mechanisms and ethical principles should companies apply to when using AI and ML - and why is it critical that they do so?
  • Hear reaction to the previous keynote and different viewpoints on the evolving topic of AI ethics
  • Listen to the leading thinking on how companies should be approaching this as well as what policy and regulation needs to be implement in economies in which AI is taking off
  • Understand how this should translate into your own effort and consideration when executing an AI strategy

Moderator:

Felipe Flores
General Manager- Data Science and Analytics
Liberty Financial
 

Panellists:

Tiberio Caetano
Chief Scientist
Gradient Institute
 
Dr. Adam Berry
Associate Professor, Faculty of Engineering & Information Technology
University of Technology Sydney
 
Nick Therkelsen-Terry
CEO
Max Kelsen

 

 

16:15
Roundtables

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

17:15
Chair’s closing remarks

Felipe Flores
General Manager - Data Science and Analytics
Liberty Financial

17:25
End of Day One and networking drinks