ANZ Webinar Series On-Demand - AI, ML, and IoT
AI-ML Operational Excellence session - MLOps Best Practices
Learn directly from AWS AI/ML specialists, where you’ll gain insights on building and advancing AI/ML projects while mastering ML operational best practices on AWS. This session will help you...
Developer Webinar Series: Harnessing the power of Generative AI
As Generative AI revolutionises the global landscape, the focus shifts towards the essential skills required to harness this emerging potential. In this session, AWS AI/ML Specialist Developer Advo...
Leaning Into AI - 6 Key Trends in 2023
Learn about the 6 key trends driving Machine Learning Innovation across Australian and New Zealand Industries.....
AWS Tech Leaders Assembly - AI and Machine Learning with Dr. Werner Vogels
AWS Tech Leaders Assembly connects technical executives in an open forum with Australia's leading technology businesses sharing their knowledge and learning with interactive networking opportunities.
Responsible AI - How to Develop a Repeatable Framework That Drives Business Value and Culture Change
Artificial intelligence (AI) applied through machine learning (ML) will be one of the most transformational technologies of our generation, tackling some of humanity’s most challenging problems, ...
Customer Contact Center Analytics and Insights Scale the QA Process
With Transcribe Call Analytics, you can get valuable intelligence such as customer and agent sentiment, call drivers, and conversation characteristics such as non-talk time, interruptions, loudness...
Supercharge personalisation in Retail
Watch this webinar where our subject matter experts, and customer TEG, will discuss how businesses can use machine learning to gain insights on consumer buying and browsing behaviour, increasing...
Optimising ML Inference on AWS Using Amazon SageMaker
In this session, we will cover various Amazon SageMaker features with focus on its deployment capabilities. Amazon SageMaker provides multiple features to manage resources and optimise inference...
Enabling business analysts and the line of business to scale the adoption of ML
Organisations are looking to leverage the broad set of in-house analytics skills to help scale the adoption of machine learning to drive business outcomes. SageMaker Canvas provides a visual point...
- Back to home
Intelligent Document Processing—Understanding and extracting data to accelerate the application process
Understanding and extracting data from non-structured data to accelerate back office processing is a major challenge for organisations across industry. Artificial Intelligence (AI) can automate docu..
Reducing Operational Risk and Platform Scalability with MLOps
Machine Learning Operationalisation (MLOps) is a collection of best practices to efficiently operationalise models. It’s not just technology—it’s about processes and people, thinking about the...
AWS DeepRacer 2022 Australian Championship - Virtual Workshop
Kick-start your ML journey by going hands-on with AWS DeepRacer. Presenter: Jacob Cantwell, Solution Architect, AWS
AWS Machine Learning Day - Machine learning with AWS
In this session, participants will be introduced to concepts and terminologies of machine learning, and hear how businesses can use AWS AI services to innovate faster.
AWS Machine Learning Day - Keynote - The industrialisation of machine learning
Join our keynote to hear about advancements in the field of software development, the evolution of tools and practices such as CI/CD, and how machine learning is making software development...
AWS Machine Learning Day - Training and certification pathways
Find out how to kick start your AWS training journey with practical advice, resources, and Certification pathway information to be shared by our AWS experts.
AWS Machine Learning Day - Fireside chat
Join us for a fireside chat with Melanie Botha, Head of Training and Certification ANZ, at Amazon Web Services, and Brooke Jamieson, AWS Community Builder and Head of Enablement AI/ML and Data at...
AWS Machine Learning Day - Boost your productivity with Amazon Sagemaker
In this session, we share how to leverage Amazon SageMaker platform to tackle the challenges of building a ML pipeline, from data labelling, feature engineering, model training, tuning, to deployment.
AWS Machine Learning Day - DevOps for data science
This session addresses the challenges of productionising ML models, and introduces DevOps for a machine learning - a set of practices that combines ML process and DevOps practices.
Machine Learning for CMOs: How to personalise the customer experience and drive innovation in marketing
Organisations have more customer data at their fingertips than ever before.
Amazon Web Services and KPMG invite you to Machine Learning for Executives
Cloud technology and machine learning are driving forces behind technological disruption affecting every organisation, making it critical to businesses’ efforts to transform and innovate at speed.