AWS Summit Online ANZ 2022 | Data Scientist
How AWS supports organisations building responsible AI (Level 100 | Introductory)
AI/ML has the potential to impact nearly every business process, decision, and outcome. Responsible use of AI should not be an afterthought. It should be by design, with a multidisciplinary focus...
Jumpstart the machine learning journey with Canva (Level 200 | Intermediate)
With the rise in customer demand for smarter products, machine learning has moved from the side lines to being a core part of every modern organisation. The key to machine learning success is scale.
Edge AI - Bringing ML to the edge with AWS AI services (Level 200 | Intermediate)
The need for more efficient business processes and key advances in edge computing and AI have allowed Edge AI to gain traction. Edge AI can be used as a bridge between humans and machines...
Sustainability powered by AI and machine learning (Level 200 | Intermediate)
Sustainability is top of mind for leaders today and spans a multitude of applications, ranging from decarbonisation to waste/energy reduction, predicting extreme events to predictive maintenance.
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Reduce bushfire risk with machine learning at scale (Level 300 | Advanced)
With increasingly extreme weather events, bushfires have become a real risk globally. Energy operators need to closely monitor and manage vegetation growth around their energy network infrastruct...
Sepsis detection using model ensembles on Amazon SageMaker (Level 300 | Advanced)
Sepsis is one of the leading causes of death in hospital patients worldwide. In this session, learn how NSW Health is building a proactive sepsis management solution using Amazon SageMaker for...
Unlock insights with intelligent document processing (Level 300 | Advanced)
Processing documents such as PDFs and static images is a common task in every business. The documents could be healthcare data, bills of health, financial documents, tax filings, research reports...
MLOps with Amazon SageMaker: Carsales journey to scale AI (Level 400 | Experts)
Operationalising machine learning models, particularly scaling MLOps capability across teams within an organisation is a difficult feat. In this session, we discuss how easily you can accelerate...