Conference Day One - Tuesday, 13 August

08:15
Registration and welcome coffee
08:50
Opening remarks from the Chair

Artak Amirbekyan
Head of Data, AI and ML
Transurban

 

The immediate future of generative AI
09:00
Shifting horizons: the dynamic evolution of generative AI and its corporate implications
  • Chronicling the rapid evolution of generative AI technology to identify emerging opportunities and areas for investment
  • Assessing how changes in generative AI influence business models and operations
  • Projecting future disruptions of generative AI to prepare for the next waves of change

Dr Michael Kollo
Chief Executive Officer
Evolved AI

09:30
Partner presentation
09:50
PANEL DISCUSSION: What are the emerging threats and opportunities in generative AI over the next 6-12 months?
  • How will the evolution of generative AI impact the traditional business sector in the next 6-12 months?
  • What sectors are the most ripe for transformation, and how can businesses innovate to capitalise on the opportunities?
  • What strategic shifts do businesses need to make to more fully integrate advanced generative AI technologies?
  • What ethical considerations should businesses prioritise to ensure responsible AI use?

Moderator:

Artak Amirbekyan
Head of Data, AI and ML
Transurban

Panellists:

Dr Nandita Sharma
Director – Data Products and Cloud
Australian Taxation Office

Susan Gibson
Head of Data Analytics and AI
University of Technology Sydney

Lieutenant Colonel Adam J. Hepworth, PhD
Technical Director – Artificial Intelligence
Australian Army

Jeremiah Mannings
Founder and Managing Partner
Futuregrip

10:30
Morning tea and networking
Enhancing generative AI with strong infrastructure foundations
11:00
Implementing bias evaluation to ensure ethical generative AI
  • Exploring methods and tools for assessing and mitigating bias in AI datasets and models to adhere to ethical standards
  • Integrating popular standards and frameworks to guide the development of unbiased and responsible AI applications
  • Demonstrating how ethical considerations in AI can lead to more inclusive and effective solutions, impacting businesses and society positively

TBC

11:30
Navigating the landscape of large language models to gain a strategic advantage
  • Understanding how different LLMs can align with your company's strategic goals and operational requirements
  • Employing a framework to evaluate performance metrics of various LLMs against your specific needs
  • Implementing best practice for navigating ethical considerations and regulatory compliance associated with LLM deployment

Rowan Braham
Principal Engineer – Artificial Intelligence
Laing O’Rourke

12:00
Networking lunch
13:00
Revolutionising industries: the impact of large language models across sectors
  • Examining how LLMs are transforming various sectors and opening up new opportunities for enhancement
  • Exploring the different applications of LLMs across sectors and how they set the stage for future improvements in industry practices
  • Discussing how LLMs are being used in healthcare, banking, transportation and construction

Rita Arrigo
Strategic Engagement Manager
CSIRO National AI Centre

13:30
Generative AI showcase

Presentation #1: How Gen AI Adds Value for Knowledge Workers

Co-presenters:

Chris Smith
Senior Manager, Partner Sales APAC
M-Files

Brandon Hegh
Manager, Partner Support APAC
M-Files

The generative AI showcase features rapid-fire 10-minute sessions where AI experts and solutions providers will present emerging technologies that offer a glimpse into the future of AI.

These showcases are reserved for subject matter experts. If you wish to sponsor one of these sessions, please contact Milad Etemadi on milade@questevents.com.au

14:00
Developing scalable, robust and centralised AI infrastructure through machine learning platforms
  • Implementing proven methods and insights to improve the performance and adaptability of machine learning (ML) platforms
  • Advancing ML platforms for centralised management
  • Improving collaboration and resource optimisation among teams to accelerate deployment cycles through a streamlined ML platform

Julianna Bodzan
Principal Advisory Director – AI
Info Tech Research Group

14:30
Mitigating risk and building trust by creating data & AI governance structures
  • Examining the core areas required to build foundational data and AI governance structures and capabilities
  • Incorporating continuous AI risk education and scenario planning to equip your team to anticipate and address potential AI inaccuracies
  • Measuring outcomes and effectiveness

Su Jella
Top 25 Analytics Leaders, Vice President
Women’s Tennis Foundation

15:00
Afternoon tea and networking
Fortifying your defences in the era of Generative AI
15:30
Mastering generative AI risk exposures in a time of disruption
  • Analysing the key areas of risk exposure in generative AI, including data privacy, model biases, intellectual property challenges, and security threats
  • Preparing strategies for risk mitigation, including governance frameworks, ethical AI principles, and robust security protocols
  • Ensuring compliance with regulatory frameworks and staying ahead of global AI standards

Akanksha Wangnoo
Executive - Data Risk and Governance
NAB

16:00
PANEL DISCUSSION: Navigating the opportunities and challenges of Generative AI in cyber security
  • How can generative AI create summaries of security incidents to enhance efficiency and decision-making processes?
  • How can cyber attackers utilise generative AI to bypass current security measures, and how can we use generative AI to counteract the threat?
  • How can generative AI be deployed in cyber security practices without compromising ethical & privacy standards?

Moderator:

Artak Amirbekyan
Head of Data, AI and ML
Transurban

Panellists:

Nathan Morelli
Head of Cyber Security and IT Resilience
SA Power Networks

16:50
Closing remarks from the Chair & end of Day 1
17:00
Networking Drinks