Artak Amirbekyan
Head of Data, AI and ML
Transurban
- 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
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)
- 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
- 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
- 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
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
- 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
- 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
- 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