ICAIFI · Registering as Listener

International Conference on Artificial Intelligence for Industries

📅 8–9 Jan 2027 📍 Melbourne, Australia 👤 Standard / Listener

Listener registration from

$185

virtual · $185 in person

Registration benefits
✉
Official invitation letterIssued automatically after registration
📜
Certificate & digital materialsCertificate, slides and resource materials
🌐
Supporting global researchConnect with researchers across 30+ countries

For Support Please Contact

[email protected]

Select registration mode

Prices are shown before tax and bank charges — no surprises at checkout.

All sessionsNetworkingCertificateInvitation letterConference kit

Your details

We only need what's required to register and email your confirmation. Everything else is optional.

Coupon code

Have a code? Apply it here — the discount updates the total immediately.

Apply

I agree to the Terms & Conditions and Refund & Cancellation Policy.

VISAMastercardAmexPayPal

Payments encrypted & processed securely. Refundable up to 14 days before the event.

Conference session tracks

Key research areas covered across the sessions — tap a track to read more.

This track focuses on the implementation of semantic technologies to enhance knowledge representation in various industrial contexts. Participants will explore innovative approaches to improve decision-making processes through semantic data integration.

This session will delve into the role of cognitive computing in optimizing industrial operations. Discussions will center on how AI can emulate human thought processes to solve complex operational challenges.

This track examines the transformative impact of artificial intelligence on manufacturing processes. Presentations will highlight case studies showcasing AI's ability to enhance efficiency and reduce waste in production.

Focusing on immersive environments, this session will explore how virtual and augmented reality can revolutionize e-commerce. Attendees will discuss the integration of AI to create engaging customer experiences.

This track investigates the use of multimodal interaction systems in industrial settings. Participants will analyze how combining various input methods can improve human-agent collaboration and operational efficiency.

This session will explore the dynamics of human-agent interaction within industrial applications. The focus will be on developing AI systems that effectively collaborate with human workers to enhance productivity.

This track addresses the challenges of representing business knowledge in AI frameworks. Participants will discuss methodologies for effective domain-specific problem-solving using AI technologies.

This session will cover advanced machine learning techniques tailored for industrial applications. Presentations will focus on real-world implementations and the benefits of deep learning in various sectors.

This track focuses on generating predictive models of behavior and activity in intelligent systems. Discussions will include applications in automation and monitoring within industrial environments.

This session will explore methodologies for data generation and validation in the context of AI applications. Participants will discuss best practices for ensuring data quality and integrity in industrial settings.

This track investigates the development of dialogue systems tailored for industrial applications. The focus will be on creating effective communication channels between AI systems and human operators to facilitate seamless interactions.