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...
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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...
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Learn about the 6 key trends driving Machine Learning Innovation across Australian and New Zealand Industries.....
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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.
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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, ...
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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...
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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...
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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...
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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...
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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..
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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...
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Kick-start your ML journey by going hands-on with AWS DeepRacer. Presenter: Jacob Cantwell, Solution Architect, AWS
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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.
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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...
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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.
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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...
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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.
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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.
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Organisations have more customer data at their fingertips than ever before.
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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.
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