AWS at Ai4 2024 Recap
AWS at Ai4 2024. Make generative AI real, faster.
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AWS at Ai4 2024. Make generative AI real, faster.
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Explore impactful generative AI use cases and implementation best practices for demonstrable business value.
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When customer trust is on the line, organizations in banking, insurance, and other financial services industries (FSI) need to deliver exceptional customer experiences.
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Start building in an AWS cloud environment, with guided instructions, to help you gain practical skills that you can apply to your day-to-day work.
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Learn how Mixbook partnered with Mission Cloud to build a solution to further personalize their unique photo books and products with both AI-driven recommendations and AI-generated images.
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Get prescriptive guidance across the entire journey of foundation model customization and pre-training to help you accelerate generative AI development
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Learn how generative AI can help new agents begin taking live contacts quickly and with proficiency and accompany all agents on their most challenging interactions.
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Learn how to deliver consistently safe user experiences using Guardrails for Amazon Bedrock.
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Learn how AWS is investing in a zero-ETL future so you can quickly and easily connect to and act on all your data.
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Access this session to understand the top data considerations when integrating your data lake into the generative AI workflow.
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Learn how AWS is democratizing generative AI, empowering customers to transform customer engagement and boost employee productivity.
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Learn how Amazon Titan models are created by AWS and pre-trained on large datasets.
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Learn how to leverage Amazon CloudWatch to monitor Amazon Bedrock and discover how AWS Audit Manager can help ensure that your use of Bedrock follows AWS generative AI best practices.
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Get a close look at the innovation across AWS infrastructure and hear about how AWS customers built, deployed, and scaled large text and image generation models across various products and services.
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Review strategies to help leaders maximize the value of generative AI through thoughtful data foundations, fostering a culture of innovation.
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Learn how to access and evaluate foundation models for top business needs and explore how you can get started with no-code tools for each step of the ML lifecycle.
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Tour of features that make Amazon SageMaker a great choice for deploying FMs for inference and learn how you can benefit from AWS innovations.
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