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
Unleashing the Power of Generative AI: Driving Innovation and Transformation in Australia

In this keynote, we'll explore the transformative potential of Generative AI and how it's ushering in a new era of innovation and opportunity. We'll delve into the rapid advancements in large language models, foundation models, and multi-modal capabilities that are democratising creativity and problem-solving across industries. Drawing insights from real-world examples like the Australian start-up Leonardo.AI and industry leader Canva, we'll showcase how businesses in Australia can harness the power of Generative AI to drive competitive advantages, enhance customer experiences, and unlock new possibilities. You'll learn about the various techniques for customizing and fine-tuning foundation models to suit your unique needs, as well as strategies for responsible governance and integrating Generative AI into your workflows. We'll also explore the future implications of this transformative technology, including its impact on research, sustainability, and the future of work. Attendees will come away with a deep understanding of the Generative AI landscape, practical steps to get started, and a vision for how this technology can reshape the business landscape in Australia. Join us as we explore the exciting possibilities of 'Generation AI' and unlock your organization's full potential.

Luke Anderson
Managing Director, Data & AI, APJ
Amazon Web Services (AWS)

10:00
Morning tea and networking
Enhancing generative AI with strong infrastructure foundations
10:30
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
Senior Director – Data & AI
Capgemini Invent

Brad Drysdale
Principal Solutions Engineer
SnapLogic

Eli Dennis-Singh
Group Innovation Lead
ACCIONA

11:20
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
13:10
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, The National AI Centre - Technology and Digital Division
Department of Industry, Science and Resources

13:40
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

Presentation #2: Feeding the AI beast without breaking the environment - AI Storage-as-a-Service

Presenter:

Mark Jobbins
Chief Technology Officer & Vice President, Asia Pacific and Japan
Pure Storage

Presentation #3: Topic How is ACCIONA leveraging Generative AI

Presenter:

Sambit Das
Principal Data Scientist
ACCIONA

14:10
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

14:40
Afternoon tea and networking
15:10
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 Woman in AI (APAC), Top 25 Analytics Leaders, 2024 Women in AI (APAC) - Winner, Vice President
Women's Tennis Foundation

Fortifying your defences in the era of Generative AI
15:40
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

16:10
Closing remarks from the Chair & end of Day 1
16:20
Networking Drinks