Get in early avoid the queue hot coffee and fresh made barista coffee.

Insights into incorporating ethical considerations into AI engineering practices, including bias mitigation, transparency, and accountability.

Discussing the latest advancements in hardware and cloud infrastructure that enable high-performance AI computations.

A case study on designing efficient data pipelines to handle large-scale data ingestion, processing, and storage for AI applications.

In this innovative session, attendees will be faced with a series of scenarios that they may face in their roles. Attendees will discuss the possible courses of action with their peers to consider the ramifications of each option before logging their own course of action.

Results will be tallied and analysed by our session facilitator and results will impact the way the group moves through the activity.

Will we collectively choose the right course of action?

Practical insights into integrating CI/CD practices tailored for machine learning models to maintain performance and accuracy in production environments.

Exploring the opportunities and challenges of deploying AI models on edge devices for low-latency and offline capabilities.

Select a topic of discussion and engage in an interactive roundtable discussion with a group of your like-minded peers.

Put your knowledge to the test in this fast-paced quiz covering real-world trivia, key concepts, and emerging trends. Compete for bragging rights - and a travel voucher - as the top scorer takes the crown.

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An exploration of the complexities involved in engineering scalable AI systems, including data pipelines, model deployment, and real-time processing.

A lively session on whether cloud-based or on-premises infrastructure offers the optimal environment for AI development and deployment.