Day Two Conference

THURSDAY 04 MARCH 2021

 

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09:25
Opening remarks from the chair

Aleks Zids
Managing Director
Quest Ignite

AI and the customer–how AI is revolutionising customer engagement
09:30
Examining how Australian businesses are using data to predict consumer choices
  • Highlighting the critical advances in machine learning and predictive analytics already increasing customer satisfaction and retention
  • Using depersonalised data to deliver high-level predictions of consumer behaviour
  • Outlining how customer mobility and a non-linear customer journey can guide the targeting of consumers and increase sales and client acquisition

Michael Allwright
Head of Artificial Intelligence
Frollo

10:00
Panel Discussion: The impacts of AI on the customer experience

This session brings together leaders from a variety of client-facing enterprises to discuss the important role AI plays in developing a superior customer-focused business.

Topics to be discussed include:

  • How does content personalisation, through the use of AI, drive predictive analytics and improve your long-term customer retention?
  • Is the use of machine learning to gain insights into the customers' user behaviour, preferences, and feedback, truly allowing a more customer-focused experience?
  • Matching customers with their next possible sale is one area in which AI-enhanced customer experience management has been a trailblazer. What do you see as the next key area AI will be applied to increase overall customer satisfaction?
  • AI obtains and stores vast amounts of your customer's data. What strategies can be used to ensure the data is used accurately and protected?

Moderator:

Kshira Saagar
Chief Data Officer
Latitude Financial Services (ACS top 25 analytics leaders 2020)

Panellists:

Dr David Black
Head of Data Product & Strategy
Flybuys (Loyalty Pacific)

Angela Kim
Head of Analytics and AI
Teachers Health Fund (ACS top 25 analytics leaders 2020)

10:50
Networking break
AI in practice – Insights from across industries
11:10
Putting AI to work in the economy
  • Extending the use of AI into new areas to streamline processes and efficiencies
  • Examining how machine learning can increase actionable data enabling clearer and more usable service outcomes for both you and your clients
  • Understanding the importance of ongoing testing and learning when attempting to roll out a new AI based innovation agenda

Angela Kim
Head of Analytics and AI
Teachers Health Fund (ACS top 25 analytics leaders 2020)

11:40
Partner Presentation
12:10
Using machine learning and data-driven techniques to save on maintenance costs and downtime
  • Examining how AI can allow utilities to inspect more of their pipelines annually while reducing down time and the associated costs
  • Uncovering how data-driven techniques to make intelligent predictions about failures
  • Discussing how AI reduces energy use and operational expenditure while allowing for more efficient use of resources

Bhavika Unnadkat
Head of Data
Momentum Energy

12:40
Transforming the oil and gas sector through the use of big data and AI
  • Understanding how digital technologies are driving new levels of industry performance
  • Analysing continually accruing data to streamline equipment to reduce breakdowns and increase equipment performance
  • Enhancing data streaming, storing and processing capabilities through big data technology

Angela Lam
Chief Information Officer
Shell Australia

13:10
CLOSING REMARKS and conference adjourns