Industry guide: Healthcare and Life Sciences
This guide focuses on industry-specific sessions and learning opportunities at re:Invent 2024 for healthcare and life sciences professionals—including content showcasing how generative AI, ML, and data innovations can scale for real-world innovations, from drug discovery to care delivery.
Dan Sheeran
General Manager, Healthcare & Life Sciences, AWS
We are excited to welcome you to re:Invent 2024. This year, we’re featuring industry-specific tracks that showcase leading innovators across a range of session formats, from breakout sessions to hands-on workshops.
There’s a ton of great content that showcases how generative AI, ML, and data innovations can scale for real-world applications—from biology foundation models to generative AI–powered agents and more.
Whether you’re new to cloud or an expert, this guide will help you navigate sessions of interest across all the learning and networking opportunities that re:Invent has to offer. Explore the guide and start building your agenda today.
In the meantime, stay up to date with the latest on our Healthcare and Life Sciences website and LinkedIn page. See you at re:Invent.
Innovation talks
HLS201-INT | Accelerating healthcare & life sciences innovation with generative AI
Healthcare and life sciences are harnessing the power of generative AI to unlock new possibilities for drug discovery, clinical trials, and patient care. In this talk, explore how leading healthcare and life sciences organizations are successfully integrating generative AI throughout their organizations to deliver real business value. Explore how these organizations are building enterprise-wide data strategies and data systems to break down internal data silos and fuel their data and generative AI initiatives. Gain insights and best practices for successfully operationalizing and scaling generative AI from pilot projects to production deployments across the health continuum.
WPS202-INT | Igniting public sector innovation for a better tomorrow
The public sector landscape is rapidly shifting, presenting organizations with complex hurdles that demand unprecedented and transformative approaches. Join Dave Levy, Vice President of Worldwide Public Sector at AWS, where he explores how cutting-edge AI and ML solutions are revolutionizing the space. Gain insights from real-world examples and uncover the boundless potential to drive change and forge a brighter future for citizens, constituents, students, service members, patients, and beyond.
Breakout session
API313-NEW | [NEW LAUNCH] Private API integration for Amazon EventBridge and AWS Step Functions
For organizations migrating and modernizing workloads on private networks, integrating disparate systems while securing sensitive data is a major challenge. This session explores how Amazon EventBridge and AWS Step Functions with AWS PrivateLink and Amazon VPC Lattice allow seamless integration and orchestration across public and private environments. Learn to build event-driven architectures (EDAs) connecting to private container workloads like Amazon ECS and Amazon EKS—all without custom code. Explore best practices for securely exposing private endpoints, improving developer productivity by unifying application architectures that combine AWS services and internal applications. Gain insights into reducing development overhead by integrating workloads across containerized, monolithic, and heterogeneous environments with secure connectivity during migration and modernization initiatives.
HYB201 | AWS wherever you need it: From the cloud to the edge
While most workloads can be migrated to the cloud, some remain on premises or at the edge due to low latency, local data processing, or digital sovereignty needs. In this session, learn how AWS services like AWS Outposts, AWS Local Zones, AWS Dedicated Local Zones, and AWS IoT support hybrid cloud and edge computing workloads such as multiplayer gaming, high-frequency trading, medical imaging, smart manufacturing, and generative AI applications with data residency requirements.
IOT205 | Beyond connectivity: Transforming businesses with intelligent IoT
This session explores how recent advancements in AI are evolving the Internet of Things (IoT) into an engine for real-world intelligence, autonomy, and actionable insights. Explore how an increasingly connected world is driving deeper systems-level intelligence across healthcare, consumer products, automotive, manufacturing, energy, and utilities. The HP Inc. team shares their journey revolutionizing the world of industrial printing through intelligent automation. Finally, learn how to get started with IoT and AI/ML services on AWS and patterns to accelerate time to value when building and deploying intelligent IoT products and solutions.
NTA310 | Building a global SaaS platform from scratch, featuring Werfen
In this session, learn about Werfen’s AWS journey in building their digital platform to enable exceptional customer experience and better patient care through a specialized digital ecosystem that delivers advanced lab and clinical decision support. Explore how Werfen built a HIPAA-compliant landing zone on AWS and designed and deployed a multi-tenant platform using SaaS-first principles. Also learn about the technology stack components and trade-offs Werfen considered to achieve high scalability, operational excellence, security, resiliency, and data residency while building the their cloud platform on AWS.
CMP203 | Drive innovation and results with high performance computing on AWS
The convergence of high performance computing (HPC), cloud, and AI is allowing AWS customers to drive innovation at an unprecedented pace. This powerful combination lets organizations leverage virtually unlimited compute capacity, accelerated computing, high-performance storage, advanced networking, and orchestration services for seamlessly running complex simulations and AI/ML workloads at scale. In this session, explore how customers across healthcare and life sciences (HCLS) and manufacturing industries are harnessing the convergence of HPC, cloud, and AI on AWS to accelerate time to insights, optimize performance, and drive innovation.
HLS214 | Froedtert Health transforms patient engagement with generative AI
Froedtert & the Medical College of Wisconsin (MCW) built a transformative digital health platform using AWS. This session explores their innovative use of Amazon SageMaker, AWS Lambda, and other services to create AI-driven applications now serving 70,000 patients monthly. Learn how Froedtert & MCW achieved a threefold increase in platform engagement, enhanced preventive care adherence, and accelerated development. Uncover strategies for implementing HIPAA-eligible infrastructure, crafting personalized care recommendations, and integrating self-service tools. Gain insights applying cloud technologies to improve patient experiences and utilizing serverless architecture for deployment of patient-centric solutions in a rapidly evolving healthcare landscape.
PRO302 | Gilead Sciences: Operational excellence for cloud, data, and AI/ML
Learn how Gilead is building a state-of-the-art operational excellence model focused on cloud, data, AI/ML, generative AI, and enterprise architecture to enable the business to achieve priorities such as developing 10+ transformative therapies by 2030 and ending the HIV epidemic. This enables business users seamless access to cloud capabilities and data platforms. An operational excellence framework—including cloud operating model, organizational change, cross-functional application support and modernization—will enable business users to innovate and develop products with speed and intelligence. With AWS solutions, operational enhancements, and efficiencies, Gilead will continue to raise the bar in the pharmaceutical industry.
CMP204 | High performance computing: Reinvented to help you think truly big
As more customers bring their high performance computing (HPC) workloads to AWS, we’re engineering new solutions to make sure running at cloud scale is a success factor for those customers, not a challenge. In this session, experts walk you straight past some of the undifferentiated heavy lifting you no longer need to do to spin up thousands (or millions) of cores to solve a hard problem. In collaboration with a guest customer, learn what HPC looks like when it’s reinvented like this and how much easier it is to think really, truly big.
ARC212-S | How Cambia supercharged their Amazon EKS based platform (sponsored by Datadog)
Containers are the standard for packaging and deploying modern, cloud-native applications, and a rich ecosystem has grown around them. Community projects like Kubernetes, Argo CD, and others empower organizations to operate more scalable, reliable systems. As a technology leader in the healthcare industry, Cambia Health Solutions has used containers for a long time, but they recently migrated from Amazon ECS to Amazon EKS in order to take advantage of the expansive Kubernetes ecosystem. Learn more about their migration and the tools they’ve used to increase their development velocity, improve reliability, and harness more power from their AWS compute resources. This presentation is brought to you by Datadog, an AWS Partner.
HLS215 | How Merck improves drug design with biological foundation models
In this session, learn how Merck is modernizing its drug discovery process with the integration of biological foundation models. Merck shares firsthand experience into how the company has modernized its generative biology inference stack using AWS HealthOmics, which helps them scale and unlock new insights.
BIZ220 | How Moderna Is building a healthier supply chain
Moderna, a pioneering biotechnology company and leader in mRNA medicine, has undergone a significant supply chain transformation over the past year. Through strong technology partnerships, Moderna’s supply chain and digital teams have worked cross-functionally to enhance vaccine replenishment strategies and optimize distribution processes. These advancements have also improved in-stock rates and minimized waste from expired products. This session looks into how AWS collaborated with Moderna to drive this critical transformation.
PRO203 | Merck advances healthcare data extraction using text-to-SQL on AWS
Merck, a leading pharmaceutical company, constantly seeks new ways to speed its R&D. Its data and analytics team faced significant challenges extracting insights from its massive healthcare databases and found that writing complex SQL queries was time-consuming and error-prone. To address this, Merck collaborated with the AWS Generative AI Innovation Center to implement a generative AI text-to-SQL solution using Anthropic's Claude models on Amazon Bedrock. This innovation enables analysts to generate SQL queries from natural language with over 95% accuracy. Data workflows are now significantly streamlined, allowing Merck's scientists to make faster, more confident decisions and easily scale to incorporate additional databases.
SEC331-S | Precision AI and security action plans: A path to optimal remediation (sponsored by Palo Alto Networks)
Join this session for an exploration of how Prisma Cloud by Palo Alto Networks uses Precision AI to revolutionize cloud security. Learn how Prisma Cloud’s AI-driven action plans accelerate prioritization and remediation of complex threats with pinpoint accuracy. Discover how action plans, powered by Precision AI, provide steps to mitigate risks with minimal effort. Learn how to address critical vulnerabilities while simultaneously resolving multiple related risks. See how to enhance security on AWS with action plans and an AI-based security platform, and discover actionable insights to fortify your cloud infrastructure. This presentation is brought to you by Palo Alto Networks, an AWS Partner.
HLS206 | Scale clinical diagnostic operations: Natera's genomic innovation
In this session, discover how clinical diagnostics company Natera used AWS to transform their genomic data processing and unlock groundbreaking clinical insights. Learn how they seamlessly integrated their laboratory data workflows with AWS, enabling scalable and cost-effective processing of millions of clinical tests annually. Dive deep into their use of AWS HealthOmics, which helped power genomic analysis and personalized treatment mapping for oncology, women's health, and fetal health assessments. Take away valuable insights into the benefits of their AWS migration, including reduced costs, scalability, and robust data provenance.
SEC328-S | Secure your AI application ecosystem from development to runtime (sponsored by Palo Alto Networks)
As AI applications introduce new components like models, plugins, and datasets, each element presents unique risks. Discover how Palo Alto Networks and Precision AI can help you manage risks throughout the AI lifecycle and also detect and prevent polymorphic threats. Explore Palo Alto Networks’ Secure AI by Design offerings: AI Security Posture Management and AI Runtime Security. These solutions protect your entire AI stack—covering data, supply chain, applications, and runtime—ensuring your AI/ML environments are secure, compliant, and resilient. This presentation is brought to you by Palo Alto Networks, an AWS Partner.
AIM271-S | Securing applications with AWS and Palo Alto Networks (sponsored by Palo Alto Networks)
As businesses increasingly adopt hybrid and multicloud environments, they must take steps to mitigate risk and maintain a high security bar. Protecting your applications and data from sophisticated cyber events is more important than ever. Join this lightning talk to hear Palo Alto Networks product creators and leading-edge customers delve into the specific network security challenges faced in hybrid cloud environments. This talk also explores strategies for deploying and seamlessly managing Palo Alto Networks’ leading network security solutions on your AWS and hybrid cloud environments. This presentation is brought to you by Palo Alto Networks, an AWS Partner.
MKT104 | Transform healthcare outcomes with AWS Marketplace
AWS Marketplace is revolutionizing healthcare procurement, enabling health systems to streamline processes, accelerate cloud adoption, and drive digital transformation. This session explores how AWS Marketplace empowers healthcare customers to reinvent their software supply chain, transform patient experiences, and reduce provider burnout. Discover how the comprehensive offerings in AWS Marketplace, along with streamlined procurement and cost optimization capabilities, empower healthcare organizations to leave behind outdated processes, lower total cost of ownership, and accelerate time-to-value to deliver better patient outcomes and provider satisfaction.
IOT204-S | Transform troubleshooting in manufacturing with AWS gen AI services (sponsored by Cognizant)
Manufacturers are using advanced digital technologies to address complex support issues for machines. By setting up an emerging manufacturing technology lab, Cognizant and Trane Technologies have implemented solutions that help in real-time monitoring of machine performance, perform remote triage, and troubleshoot issues. In this session, learn how Cognizant’s APEx utilizes large language models, RAG orchestration, and generative AI running on AWS IoT services to develop new digital technologies. Discover how Trane Technologies envisions deploying these technologies across their factories and assets, and learn about Cognizant and Trane Technologies’ joint vision of incorporating additional use cases in the coming months. This presentation is brought to you by Cognizant, an AWS Partner.
HYB309 | Well-architected for data residency with hybrid cloud services
With concerns over data privacy, security, and digital sovereignty, many countries across the world are strengthening data residency laws to keep personal and sensitive data within their borders. For organizations operating across multiple geographies, it can be challenging to meet the evolving data residency laws. In this session, following the AWS Well-Architected Framework, explore the best practices around data residency when using hybrid cloud services, including AWS Local Zones, AWS Dedicated Local Zones, and AWS Outposts.
Builders' session
HLS203 | Enhancing patient and clinician experiences with AWS HealthScribe
In this session, learn how to use AWS HealthScribe generative AI capabilities to build interactive healthcare applications that reduce clinician administrative burdens and improve patient experiences. You must bring your laptop to participate.
HLS204-R | Streamlining clinical protocol reviews with Amazon Q Business [REPEAT]
Reviewing clinical trial protocols is a time-consuming process. In this builders’ session, discover how to streamline this task using Amazon Q Business, a generative AI–powered assistant. Learn how to analyze previous protocol documents, including inclusion/exclusion criteria, endpoints, and their amendments, to suggest optimizations and handle various review categories efficiently. See a demonstration on how to create a chatbot powered by Amazon Q to manage evaluations and reviews, and then learn how to build a no-code application to automate these tasks. You must bring your laptop to participate.
HLS204-R3 | Streamlining clinical protocol reviews with Amazon Q Business [REPEAT]
Reviewing clinical trial protocols is a time-consuming process. In this builders’ session, discover how to streamline this task using Amazon Q Business, a generative AI–powered assistant. Learn how to analyze previous protocol documents, including inclusion/exclusion criteria, endpoints, and their amendments, to suggest optimizations and handle various review categories efficiently. See a demonstration on how to create a chatbot powered by Amazon Q to manage evaluations and reviews, and then learn how to build a no-code application to automate these tasks. You must bring your laptop to participate.
HLS204-R1 | Streamlining clinical protocol reviews with Amazon Q Business [REPEAT]
Reviewing clinical trial protocols is a time-consuming process. In this builders’ session, discover how to streamline this task using Amazon Q Business, a generative AI–powered assistant. Learn how to analyze previous protocol documents, including inclusion/exclusion criteria, endpoints, and their amendments, to suggest optimizations and handle various review categories efficiently. See a demonstration on how to create a chatbot powered by Amazon Q to manage evaluations and reviews, and then learn how to build a no-code application to automate these tasks. You must bring your laptop to participate.
HLS204-R2 | Streamlining clinical protocol reviews with Amazon Q Business [REPEAT]
Reviewing clinical trial protocols is a time-consuming process. In this builders’ session, discover how to streamline this task using Amazon Q Business, a generative AI–powered assistant. Learn how to analyze previous protocol documents, including inclusion/exclusion criteria, endpoints, and their amendments, to suggest optimizations and handle various review categories efficiently. See a demonstration on how to create a chatbot powered by Amazon Q to manage evaluations and reviews, and then learn how to build a no-code application to automate these tasks. You must bring your laptop to participate.
Chalk talk
CMP326 | Accelerate AI innovation for health care and life sciences on AWS
Biopharma researchers are looking to build and deploy models such as AlphaFold2, ProtGPT2, and ESM-2 for generative biology and chemistry. In this chalk talk we cover how to deploy NVIDIA BioNeMo on NVIDIA GPU-powered Amazon EC2 instances, AWS ParallelCluster, and Amazon SageMaker. We also cover how you can deploy these models on AWS Trainium and AWS Inferentia chips to help you lower your costs by up to 50%.
HLS303-R | Accelerate cancer biomarker discovery with AWS AI/ML services [REPEAT]
Explore how Amazon Bedrock Agents accelerate cancer biomarker discovery using advanced AI capabilities. This interactive session showcases how agentic workflows leverage planning, tool use, and self-reflection to transform complex oncology research queries into actionable insights. Learn how agents intelligently decompose tasks, combine diverse data sources, and generate visual representations, potentially saving researchers weeks of work. We'll demonstrate how the biomarker assistant plans multi-step analyses, utilizes various tools to query and visualize data, and reflects on its process to ensure accuracy. Join us to discuss real-world applications of this technology in improving clinical trial success rates and reducing drug development costs.
HLS303-R1 | Accelerate cancer biomarker discovery with AWS AI/ML services [REPEAT]
Explore how Amazon Bedrock Agents accelerate cancer biomarker discovery using advanced AI capabilities. This interactive session showcases how agentic workflows leverage planning, tool use, and self-reflection to transform complex oncology research queries into actionable insights. Learn how agents intelligently decompose tasks, combine diverse data sources, and generate visual representations, potentially saving researchers weeks of work. We'll demonstrate how the biomarker assistant plans multi-step analyses, utilizes various tools to query and visualize data, and reflects on its process to ensure accuracy. Join us to discuss real-world applications of this technology in improving clinical trial success rates and reducing drug development costs.
HLS304-R1 | Accelerate healthcare innovation with real-world data and evidence [REPEAT]
Explore how to harness real-world data (RWD) and real-world evidence (RWE) to fuel breakthrough innovations in life sciences using AWS. Learn to build a robust, scalable infrastructure for large, heterogeneous datasets while maintaining strict privacy standards. Gain insights into developing complete RWD/RWE solutions using AWS Clean Rooms, Amazon EMR, and other cutting-edge services. Discover how to seamlessly discover, evaluate, and analyze RWD from diverse providers, enabling user-centric evidence generation and transformative healthcare advancements through the power of cloud acceleration.
HLS304-R | Accelerate healthcare innovation with real-world data and evidence [REPEAT]
Explore how to harness real-world data (RWD) and real-world evidence (RWE) to fuel breakthrough innovations in life sciences using AWS. Learn to build a robust, scalable infrastructure for large, heterogeneous datasets while maintaining strict privacy standards. Gain insights into developing complete RWD/RWE solutions using AWS Clean Rooms, Amazon EMR, and other cutting-edge services. Discover how to seamlessly discover, evaluate, and analyze RWD from diverse providers, enabling user-centric evidence generation and transformative healthcare advancements through the power of cloud acceleration.
HYB310 | Addressing data residency requirements with hybrid and edge services
Data residency is a critical consideration for organizations that collect and store sensitive information, including personal identifiable information (PII), financial data, healthcare data, or information pertaining to national security. To help organizations operating across multiple geographies drive innovation while meeting data residency requirements, AWS offers multiple global infrastructure offerings like AWS Regions, AWS Dedicated Local Zones, AWS Local Zones, and AWS Outposts. In this interactive chalk talk, learn how these infrastructure offerings can help you accelerate digital transformation while meeting data residency needs.
DEV333 | Automating insurance claims and policy management using generative AI
Insurance companies manage extensive procedure documents, making manual processing time-consuming and complex. This session introduces a generative AI-based solution to automate and scale these operations. This innovative solution leverages generative AI to transform operations processing into an automated and scalable solution. Learn how to build an end-to-end generative AI-based robotic process automation (RPA) solution to understand procedure documents with rules, tables, and images and perform operations according to customers’ data by leveraging generative AI and large language models (LLMs). This approach is ideal for industries that require efficient handling of large-scale documentation.
HYB401 | AWS hybrid cloud and edge computing from the lens of VMware architects
This chalk talk explores the Amazon EC2 concepts of instance recoverability, placement groups, and auto scaling from the perspective of AWS Outposts and how VMware architects can draw parallels to VMware features like High Availability (HA), Distributed Resource Scheduler (DRS), Affinity Groups, and stretched clusters. The talk also covers how you can design resilient architectures between two Outposts in the same location using intra-VPC routing. Additionally, learn how you can leverage AWS Elastic Disaster Recovery to migrate on-premises workloads to AWS Outposts.
HLS211-R | End-to-end biological foundation model workflows for drug discovery [REPEAT]
In this session, learn how to orchestrate multiple state-of-the-art (SOTA) biological foundation models (FMs) together to create a seamless drug discovery workflow using AWS HealthOmics. Explore how to combine multiple FMs, and get hands-on experience automating a canonical drug discovery pathway.
HLS211-R1 | End-to-end biological foundation model workflows for drug discovery [REPEAT]
In this session, learn how to orchestrate multiple state-of-the-art (SOTA) biological foundation models (FMs) together to create a seamless drug discovery workflow using AWS HealthOmics. Explore how to combine multiple FMs, and get hands-on experience automating a canonical drug discovery pathway.
CMP409 | Event-driven architectures for HPC workloads
Porting workloads to the cloud means suddenly having a lot of flexibility to drive your infrastructure at speeds that match the people you're working with. Many AWS customers spin up HPC clusters, scale fleets of Amazon EC2 instances, or adapt massive storage systems in reaction to events taking place in the real world. Learn how to leverage some of these techniques with real-world examples of customers like Maxar Technologies and LEGO solving tough problems in different domains.
CMP412 | High performance computing is a capacity challenge. We have solutions.
High performance computing (HPC) involves techniques that leverage speed and scale to let R&D teams solve problems in human scales of time. This chalk talk works through the tools, services, and techniques available to you in the cloud to ensure you're able to tap the right compute—at the right scale—when you need it. Discuss specialist HPC instances, interconnects, capacity blocks, and reservation tools so you can get predictable outcomes every time.
CMP406 | Making HPC and other R&D workloads accessible beyond the AWS console
Research and Engineering Studio on AWS (RES) lets IT teams deliver an easy-to-consume interface to R&D teams like scientists and engineers, without the fuss of knowing all the DevOps necessary. This is handy when trying to deliver graphical desktops in the cloud, but it’s a supercharge for their productivity when training models or running complex simulations on clusters is involved. Learn how RES works on the inside to make that experience great for your end users.
HLS209-R | Migrating regulated workloads on to AWS at scale [REPEAT]
In this session, you'll learn how customers are building regulated landing zones and using AWS services like AWS Config, AWS Security Hub, and Landing Zone Accelerator on AWS to migrate life science workloads at-scale while ensuring data integrity and taking modern approaches to regulatory controls like GxP.
HLS209-R1 | Migrating regulated workloads on to AWS at scale [REPEAT]
In this session, you'll learn how customers are building regulated landing zones and using AWS services like AWS Config, AWS Security Hub, and Landing Zone Accelerator on AWS to migrate life science workloads at-scale while ensuring data integrity and taking modern approaches to regulatory controls like GxP.
HLS305 | Optimize clinical documentation with generative AI: NextGen case study
Healthcare providers face mounting documentation burdens, leading to burnout and poor patient experience. This chalk talk explores how to use services like Amazon Bedrock to develop generative AI–powered solutions targeting tasks like ICD-10 coding, lab and diagnostic orders, and medication orders. As a real-world case study, explore how NextGen Healthcare approached their generative AI–powered solution using advanced NLP and ML to alleviate this critical issue in healthcare documentation.
CMP403 | Scalable and cost-effective ML training on Amazon EKS with AWS Batch
Running Kubernetes pods in parallel across multiple nodes to efficiently train large models is difficult. Scaling compute resources, setting up drivers and networking, and scheduling pods to maximize instance utilization is not only challenging, it’s undifferentiated heavy lifting. AWS Batch is a managed service that works with your existing Amazon EKS clusters to manage the full lifecycle of nodes and pods for ML training and other compute-intensive workloads. In this chalk talk, dive deep on how to offload the complexities of large ML model training on Amazon EKS using AWS Batch multi-node processing jobs, reducing your cost and operational overhead.
Workshop
HLS202 | Amazon Q Apps for healthcare
In this workshop, explore the user-friendly tools in Amazon Q for creating, testing, and deploying AI-generated healthcare applications. Learn about Amazon Q Apps, which can help turn ideas into apps through natural language or chat interactions. Discover how to integrate healthcare information sources, improve chat response accuracy, implement guardrails, customize chat controls, and use document enrichment to protect sensitive health information. This workshop provides a solid foundation for healthcare professionals seeking to enhance productivity and streamline tasks using Amazon Q Apps. You must bring your laptop to participate.
HLS205 | Building scalable drug discovery applications
Learn how to accelerate scientific discovery by building, orchestrating, and visualizing computer-aided drug discovery workflows using AWS HealthOmics, state-of-the-art biological foundation models, and Jupyter. In this workshop, build multiple drug discovery workflows using Amazon SageMaker, NVIDIA BioNeMo, and HealthOmics, and then scale them to process thousands of predictions simultaneously. You must bring your laptop to participate.
HYB305 | Cutting-edge AI: Real-time anomaly detection and forecasting
In the fast-paced industrial automation world, leveraging machine learning (ML) and foundation models (FMs) makes a significant difference in detecting anomalies, forecasting trends, and ensuring smooth operations. Running these models at the edge facilitates local data processing, low latency, and resilience against connectivity issues, enabling seamless operations in distributed environments. In this immersive workshop, gain hands-on experience deploying pretrained ML models and small language models (SLMs) on AWS Outposts servers at edge locations. Discover how these models can identify anomalies, forecast trends, and provide real-time assistance, supporting data-driven decisions and smoothing operations. You must bring your laptop to participate.
HYB304 | Implement RAG without compromising on digital sovereignty
As governments and standards bodies develop data protection and privacy regulations, organizations increasingly need to combine the use of generative AI tooling in the cloud with regulated data that need to remain on premises to meet data sovereignty requirements. In this workshop, learn how to extend Amazon Bedrock Agents to hybrid and edge services like AWS Outposts and AWS Local Zones to build distributed Retrieval Augmented Generation (RAG) applications with on-premises data for improved model outcomes. Get hands-on with Amazon Bedrock, AWS Lambda, and AWS hybrid and edge services, and build Amazon S3 compliant workflows using a hybrid S3 compatible solution. You must bring your laptop to participate.
IOT315 | Transforming healthcare with IoT, Amazon Location, and generative AI
In this workshop, explore how AWS connects patients to their medication and medical assets. While using AWS IoT and Amazon Location Service, explore use cases where patients can easily access the care they need, whether navigating to a clinic or receiving essential supplies at home. See how generative AI can optimize patient communication, identify the most relevant research programs for patients, and strategically place medical resources like X-ray and MRI machines based on insights from patient data. You must bring your laptop to participate.
AIM315 | Transforming intelligent document processing with generative AI
This workshop covers the use of generative AI models for intelligent document processing tasks. It introduces intelligent document processing and demonstrates how generative AI can enhance capabilities like multilingual optical character recognition (OCR), document classification based on content/structure/visuals, document rule matching using Retrieval Augmented Generation (RAG) models, and agentic frameworks that combine generative models with decision-making and task orchestration. Join this workshop to learn practical generative AI applications for streamlining and automating document-centric workflows. You must bring your laptop to participate.