Ian Hansel
Director
Verge Labs
- 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
Hema Prasad
Head of Domain (Data) Architecture
Commonwealth Bank
- Examining the most widely adopted AI capabilities today, how effective are they, and what are their limitations?
- Enhancing your understanding of the meaning of the concept of Human-AI Collaboration mean
- Discussing the latest research advancements in the Human-AI Collaborative landscape
- Highlighting how we should be looking at Human-AI Collaboration as the future approach to AI for business applications?
- 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)
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, using AI, drive predictive analytics and improve your long-term customer retention?
- Is using 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:
Angela Kim
Head of Analytics and AI
Teachers Health Fund (ACS top 25 analytics leaders 2020)
- 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
- 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
- Gaining insights into what technologies are on the horizon with the potential to cause the most disruption to the traditional workplace model
- Understand the likely impact of emerging technologies and how you can adapt affected workers to jobs that have long-term resilience to AI introduction
- Balance social responsibility and business opportunity - learning what technologies to invest in to lower operating costs
Richard George- Overcoming cultural bias and the misconception data work is a tech-heavy area
- Getting your whole business to support a data driven journey
- Building the right ecosystem to support and sustain this cultural change
Jamila Gordon
Chief Executive Officer and Founder
Lumachain (Winner -Australian and New Zealand WAI Innovator of the Year 2021 and Australian and New Zealand WAI AI in Manufacturing)
- Discussing why IoT needs artificial intelligence to be truly useful
- What are the key hurdles we need to overcome to bring true AI to the IoT sphere?
- Where do the most significant possibilities exist for IoT and AI to work together to bring about game-changing transformation?
- What possible applications could be created from the merging of AI and the blockchain
Moderator:
Ian Hansel
Director
Verge Labs
Panellists:
Fang Chen
Distinguished Professor &Executive Director UTS Data Science & UTS Data Science Institute
University of Technology Sydney (UTS)
Zeeshan Javed
Head of Media Performance and Analytics
Foxtel
Gavin Dietz
Chief Executive Officer
Wattwatchers