Artak Amirbekyan
Head of Data, AI and ML
Transurban
08:15
Registration and welcome coffee
08:50
Opening remarks from the Chair
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
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
Senior Digital Transformation Officer
Sydney Airport
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
Director - Data & Insights
Tennis Australia
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
Diego Perez
Cyber Threat Hunting Lead – Cyber Defence Operations
Commonwealth Bank
16:50
Closing remarks from the Chair & end of Day 1
17:00
Networking Drinks