Industry guide: Manufacturing

This guide highlights the key manufacturing breakout sessions, chalk talks, workshops, and builders’ sessions at re:Invent 2024 to help you speed time to market, optimize factory operations, and offer smart products and services for new revenue streams.

Ozgur Tohumcu
General Manager, Automotive and Manufacturing, AWS

At AWS, our mission is to help manufacturing companies build more intelligent, connected, and sustainable operations, products, and services to unlock transformational growth. To kick-start their digital transformation journeys, manufacturers look to extract insights from operational data to deliver new business outcomes with AWS Cloud tools and technologies like secure data lakes, IoT, ML, and AI.

Are you looking to improve productivity and quality, enhance design and engineering efforts, or improve supply chain resiliency? Do you want to create software-defined products to engage customers in new ways or modernize your marketing efforts and field service work? If so, re:Invent has a wealth of opportunities to learn how AWS and the AWS Partner Network can help you transform your business and accelerate innovation.

This guide showcases the key sessions that will help manufacturers and other industrial companies optimize their operations, accelerate time to market, and generate new revenue streams. There’s something for everyone at re:Invent to speed up digital transformation.

I hope you have an insightful, engaging, and fun week at re:Invent. In the meantime, be sure to keep an eye on the AWS for Industries blog and follow us on our Industrial LinkedIn page to stay up to date on all manufacturing activities at re:Invent.

Breakout session

NET217-NEW | [NEW LAUNCH] Accelerate data transfer to the cloud with AWS Data Transfer Terminal

Transferring large datasets to the cloud poses challenges and can result in prolonged timelines and compromised data quality. This issue is relevant for use cases that generate large datasets, such as advanced driver assistance systems (ADAS), high-resolution video production, and industrial sensory monitoring data. Explore the secure, upload-ready physical locations of AWS Data Transfer Terminal, where you can connect your storage devices to the AWS backbone and initiate uploads to various AWS endpoints including Amazon S3 and Amazon EFS at speeds up to 400 Gbps. Get data into AWS quicker and improve time to market.

ENU306 | Accelerate control system upgrades through AWS and evergreen testing

In this session, GE Vernova walks through how cloud-ready architecture allows utilities flexibility when deploying control system software, from the edge to on-premises bare metal, cloud, or even hybrid (such as AWS Outposts), and avoids the limited benefits of “lifting and shifting” applications to the cloud. The traditional path of “forklift” upgrades over years need not be your path forward for grid control systems. Working together, vendors, cloud providers, and utilities can deploy a cloud-native architecture with evergreen testing, operational functionality, and security capabilities built in for control system upgrades that won't disrupt electric operations.

MAM115-S | Accelerate your "Road to 3X" with Fujitsu’s AI-driven modernization (sponsored by Fujitsu)

Fujitsu champions modernization as the catalyst for driving digital transformation (DX), sustainable transformation (SX), and green transformation (GX). In this session, discover how Fujitsu Uvance can help you achieve your 3X goals. Learn how to leverage Fujitsu's deep IT expertise and consultative approach, AWS Blu Age, and cloud technology to modernize mainframe, UNIX, midrange, and Windows systems so you can unlock data-driven insights, ensure business resilience, and build an agile foundation for future growth. Explore modernization best practices, including proven methodologies for migrating and modernizing legacy systems. Also learn how Fujitsu is using AI and data-driven insights in the modernization process. This presentation is brought to you by Fujitsu, an AWS Partner.

MAM225-S | Achieving breakthrough results using IT and OT data contextualization (sponsored by Hitachi)

In today’s complex, high-mix environment of products, platforms, compute options, and environments, IT and operational lines of business need proven partners to help design the right systems, integrate critical IT and OT data systems, make them cloud-ready, and then leverage insights from gen AI to help them manifest their ideas at scale. In this session, hear how companies are benefiting from Hitachi’s expertise to build an agile, secure, scalable enterprise infrastructure on AWS. Also learn about professional engineering services, IT and OT system integration services, and storage and infrastructure solutions. This presentation is brought to you by Hitachi, an AWS Partner.

ENU307 | All-in on AWS: Transforming production operations with AWS

In this session, learn about bpx energy's transformation of production operations on AWS. bpx shares its journey to simplify from multicloud and go all-in on AWS, including SAP and Esri ArcGIS. Discover how bpx is preparing their environment and data to transform oil and gas production operations.

ENU305 | An open collaboration for HPC acceleration

In this session, customers learn about Energy HPC Orchestrator (EHO). EHO is an innovative framework designed to transform the execution and operation of traditional energy high performance computing (HPC) applications. It proposes an open industry platform and marketplace for operators, software providers, and academia to deliver innovative seismic processing, imaging, AI/ML, and other state-of-the-art HPC algorithms and workflows. EHO cultivates a competitive environment that encourages innovation within a cloud-native framework, focusing on scalability, fault tolerance, performance optimization, and cost efficiency. By leveraging the latest in cloud technology, EHO enhances efficiency, reliability, and flexibility of existing systems.

IOT202 | AWS IoT for edge LLM deployment and execution

With the advent of generative AI and large language models (LLMs), you must be wondering, how can these technologies be applied at the IoT edge? After all, there are many benefits of running LLMs at the edge—from network bandwidth efficiencies, offline processing, lower latency, and data sovereignty to cost savings, security, and differentiation. In this session, learn how using AWS IoT services and LLMs at the edge can uplift your solutions with actionable outcomes and innovative capabilities, such as gesture recognition, natural language processing for voice control, real-time predictive maintenance, energy optimization, anomaly detection, and more.

PRO201 | BMW speeds car development with a new app for defect ticket routing

The development and production of cars progressively becomes more software driven as the number of sensors and other digital components increases. BMW faces the challenge of routing and resolving tickets during the testing and development phases of designing a new car platform. With over 140 software teams across many areas, BMW now leverages a generative AI large language model (LLM) that provides recommendations on the next best action, augmenting the previously manual process and considering more data for correct team routing. This innovative solution streamlines BMW's software-driven car development process.

ENU308 | bp's energy trading digital transformation on AWS

In this session, bp trading shares its supply and energy trading digital transformation journey on AWS: migrating and modernizing hundreds of applications; hosting business-critical trading applications; and reinventing workflows with generative AI. The session includes market risk engine modernization for daily value-at-risk (VaR) calculations using Amazon EMR Serverless; benefits realized by building cloud native applications for bp's supply and trading functions business units; and achieving cost savings, efficiency, and agility by retiring some vendor products and using cloud native alternatives.

HYB318 | Building generative AI applications with on-premises and edge data

Customers in regulated industries are looking to leverage generative AI with sensitive data that must remain on premises due to data residency requirements. Additionally, some customers with data generated at the edge need to run small language models (SLMs) locally for real-time processing. This session explores how to select, fine-tune, and deploy SLMs for on-premises and edge use cases using AWS hybrid and edge services. Learn how to run Retrieval Augmented Generation (RAG) with on-premises data to improve prompt outcomes. Understand model trade-offs across accuracy, performance, and cost efficiency, and discover architectural best practices for security, scalability, and high availability.

MFG206 | Closing the machine-to-cloud gap to jump-start digital transformation

Today, the data pipeline between industrial machines (OT) and the cloud (IT) requires many systems to be integrated together to create a unified data foundation, leading to longer lead times to deploy digital transformation projects. In this session, hear how Rehrig Pacific Company jump-started data ingestion from industrial systems and machines using a securely managed industrial edge to cloud. Hear how manufacturers like Rehrig are quickly deriving business value from operational data that is organized and contextualized for use in factory and cloud applications, unlocking use cases such as asset monitoring, predictive maintenance, quality inspection, and energy management.

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.

MFG201 | Empowering the next-generation industrial operator with generative AI

Georgia-Pacific (GP) is one of the largest manufacturers of pulp and paper, dispensers, packaging, and wood and gypsum building products. Like many manufacturers, GP faces workforce attrition challenges as senior workers retire and apprentice operators need to upskill quickly. Hear how GP’s Amazon Bedrock–enabled industrial operator assistant provides a natural language interface for machine diagnostic troubleshooting based on unstructured data (SOP docs, machine manuals, etc.) and structured real-time machine data to retrieve and summarize relevant content in minutes. This reduces mean time to resolution by empowering apprentice workers to troubleshoot independently with real-time, contextualized machine data.

MFG202 | How Gousto reduces food waste and increases workforce productivity

In this session, hear how Gousto, a British meal kit retailer, built a scalable Industrial Data Fabric (IDF) to gain real-time and historical operations visibility. Gousto relies on equipment vendors to provide much of their data, which can add complexity, cost, and time delays. To resolve these challenges, AWS and an AWS Partner helped build a modern IDF using AWS IoT SiteWise, AWS IoT Core, and Amazon Monitron. Hear about the business benefits of their unified namespace architecture and how the customer uses advanced analytics, ML, and generative AI on top of their industrial data foundation.

GBL202-KO | Improve enterprise business productivity using generative AI [Korean]

This session is delivered in Korean. LG Electronics has found that generative AI workloads using Amazon Bedrock have strengthened the competitiveness of their product lines and boosted individual productivity. For example, a text-to-SQL solution in the CRM built in Amazon Redshift provides a user-friendly experience for business users to securely search and analyze internal data without relying on data analysts. LG also built the Product 360 platform, a multi-type document data extraction and integrated search system for their display product and business data. In this session, learn about best practices to empower employees with your company’s knowledge and how to reduce decision-making time.

AIM107-S | Improving finance analyst efficiency with AI-driven resolutions (sponsored by Cognizant)

Finance analysts can now find accurate answers to tax legislation and governance queries much faster using a gen AI–based virtual assistant. In this session, learn how this has sped up resolution by 10 to 20 times on average and could save thousands of dollars per year with the gained operational efficiency and value-added analysis from the tool. Also learn how this enhances the quality of the responses and adherence to compliance in the process. This presentation is brought to you by Cognizant, an AWS Partner.

PRO202 | Iveco Group and AWS: A story of continuous innovation

The session showcases how Iveco Group builds on AWS to drive innovation, collaboration, and digital transformation in virtual engineering, knowledge management, and generative AI-powered automation. Learn how Iveco is building a self-service development platform on AWS to enable faster development cycles and reduce hardware dependencies. The company’s Virtual Engineering Workbench fosters collaboration among developers, testers, and integrators by providing virtualized environments for digital cockpit development and automated testing. Additionally, the company’s Knowledge Management solution enhances productivity by streamlining access to technical information, and generative AI automates tasks like generating product data sheets from mechanical drawings.

HYB308 | Migrating your VMware workloads with on-premises dependencies

While most VMware workloads can be easily migrated to the cloud, some need to stay on premises due to application interdependencies, data residency requirements, or timeline constraints. Join this session to learn how AWS hybrid and edge services like AWS Outposts and AWS Local Zones allow you to migrate in place and modernize at your own pace. Dive deep on various migration pathways with Outposts and the migration tools and programs that you can use to simplify and accelerate transition to the cloud.

IOT203 | Optimizing manufacturing operations with AWS IoT

Data is manufacturing’s most valuable asset for driving industrial transformation. In this session, discover how leaders like TotalEnergies leverage AWS Industrial Internet of Things (IoT), as well as artificial intelligence and machine learning (AI/ML) solutions to optimize production, reduce downtime, and boost efficiency. Discover how AWS empowers teams with efficient raw equipment data ingestion at the edge, seamless edge-to-cloud integration, and near real-time contextualization, enabling predictive analytics and prescriptive guidance with generative AI. Learn best practices from industry experts on how to leverage ML for proactive maintenance and accelerate use cases such as sustainability management and intelligent alarm systems.

ENU309 | Powering the future: NextEra Energy’s journey with generative AI

NextEra Energy, a leader in the utility and renewables sector, is harnessing the power of generative AI to enhance customer value, improve employee productivity, and optimize energy operations. This session showcases insights and experiences from NextEra Energy’s journey, highlighting key lessons learned and recommendations to help others embark on a successful AI-enabled transformation journey. Gain valuable insights into implementing large-scale generative AI solutions in the energy sector and learn how AWS can support similar transformative initiatives in your own organizations.

ENU310 | Predictive maintenance and optimization of electrical submersible pumps

In this session, explore how ExxonMobil is collaborating with Baker Hughes and AWS to optimize the performance and reliability of electrical submersible pumps (ESPs) in the Permian Basin. Learn about the technical and strategic approaches used to enhance ESP management with AWS advanced machine learning and AI capabilities. Discover how hybrid physics-based and machine learning models were deployed to predict ESP failures accurately, improving operational efficiency and reducing downtime. Learn about the challenges encountered, the innovative solutions developed, and the benefits realized, including increased production uptime and reduced maintenance costs. Join us to understand how this collaboration is driving long-term success in unconventional oil and gas operations.

INO109 | Reimagining IT: From cost center to innovative product builder

This session shares insights from Amazon's enterprise-wide approach to product management, covering core elements like product-driven mental models, defining the product manager role, organizing and enabling product teams, and applying customer-centric strategies for aligning priorities. Discover how an iterative approach to launching and scaling products and services drives innovation. Explore the power of finding insights in exceptions, using data to drive behavior change, and leveraging generative AI for personalized analytics. Gain a fresh perspective on transforming IT from a helpdesk to a product builder, fundamentally reimagining the cloud as a driver of value-added services and industry-first offerings.

AIM120-S | Revolutionizing Audi's tender process with generative AI (sponsored by Capgemini)

TenderToucan, Audi’s AI tool, fundamentally changes Audi’s tender process using LLMs to compare offers against requirements. It reduces burdensome work for employees and leaves them with more time for analytical tasks. This results in highly accurate evaluations that take less time than before. This session covers user-centric development, continuous optimization, and mitigating AI replacement fears. Gain insights into balancing AI automation with human judgment and practical guidance for implementing AI solutions. TenderToucan showcases gen AI’s potential in transforming business processes, boosting efficiency, accuracy, and speed, setting new standards in tender management for the automotive industry and beyond. This presentation is brought to you by Capgemini, an AWS Partner.

MFG205 | Running a complex design environment on AWS

Fab (fabrication facility) design requires a complex and sensitive user experience and strong security regulations. In this session, learn how Samsung Electronics, the world-class semiconductor company, has built and operated a design platform on AWS while adhering to high performance and advanced security standards.

DEV317 | Scaling machine learning with containers on AWS: Lessons learned

Explore how serverless containers revolutionize machine learning (ML) deployment at scale. This session showcases Instrumental’s journey in using serverless technologies for deep learning, creating a simple, scalable, and cost-effective architecture. Learn how we combined Amazon SageMaker and AWS Lambda to scale training jobs and predictions. Delve into serverless options for ML use cases and discover strategies to implement this serverless approach and optimize your MLOps for both internal and external users.

DEV204 | Searching images through patterns: An AI-powered serverless solution

Discover how we leveraged Amazon Bedrock with Claude 3 Haiku to simplify image searching in the textile industry. This session describes the implementation of a scalable, secure, and cost-effective solution for searching textile patterns using AI-driven attribute recognition. We'll explore the use of AWS Lambda, Amazon Aurora Serverless, AWS Step Functions, Amazon API Gateway, and Amazon Bedrock to process and index thousands of images. Gain insights into applying cutting-edge AI and serverless technologies to solve industry-specific challenges while maintaining security and optimizing costs.

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.

CMP325 | Silicon powers the world: Learn how to scale your EDA workloads

Silicon powers the world, but it requires compute power to test and verify before production. This session explores the journey of customers who have scaled their Electronic Design Automation (EDA) workloads on AWS using some of its recently launched custom hardware. The session highlights the value they've derived transitioning their operations from on-premises data centers to the AWS Cloud and how this shift has transformed their business outcomes. Delve into the role played by the Amazon EC2 portfolio in helping customers achieve their goals and gain insights into how EDA customers can leverage resources to drive growth and innovation.

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.

MAM208 | Transforming manufacturing with AWS, RISE with SAP, and Amazon

Leading manufacturers are using RISE with SAP, purpose-built AWS services, and Amazon’s extensive sourcing and logistics capabilities to transform their operations. In this session, hear how manufacturers have migrated to RISE with SAP on AWS, streamlining operations and benefiting from the performance, reliability, and security of ERP in the cloud. Learn how companies are extending their SAP environments to MES and PLM systems with 200+ AWS services—including generative AI, IoT, and analytics—to optimize productivity, quality, machine availability, and sustainability. Lastly, discover how Amazon Business and Supply Chain by Amazon can help optimize procurement, global shipping, storage, and fulfillment.

IOT305 | Transforming smart metering for sustainable resource use with AWS IoT

The energy industry is shifting toward the next generation of smart metering. This presents an opportunity to address two critical challenges: water loss due to leakage and natural gas leakages—both significant contributors to global climate change. In this session, learn how to use AWS IoT services to build a solution for publishing and ingesting data from smart meters using LoRaWAN connectivity. By harnessing the telemetry data collected, you can gain valuable insights, including leakage detection. Additionally, find out how to train ML models in Amazon SageMaker and use foundation models supported in Amazon Bedrock to automate field response to the identified leakages.

GBL204-KO | Unlock business value with gen AI in the robotics and battery industry [Korean]

This session is delivered in Korean. Doosan Robotics simplifies traditional robotic arm implementation by harnessing generative AI to interpret natural language instructions into executable trajectories, streamlining the process into a single operational step and enhancing efficiency. LG Energy Solution uses Amazon SageMaker, Amazon Forecast, and Amazon Bedrock to accurately predict electric vehicle sales and battery demand, enabling data-driven inventory management and production planning. In this session, learn about driving manufacturing innovation for enhanced business agility while ensuring data security.

AIM117-S | Unlocking mission-critical new lines of business with AWS and gen AI (sponsored by Capgemini)

Join this inspiring session on the transformative journey of Penske Transportation Solutions. Discover how the innovative connected fleet program revolutionized fleet management. Learn how Penske used AWS ML/AI and generative AI services for predictive maintenance cost savings and automation efficiencies. Explore their strategic adoption of cloud technologies to introduce groundbreaking services, elevate customer satisfaction, and unlock new revenue streams. Gain insights into the business drivers and architectures processing terabytes of information at high speed. Don’t miss this chance to learn how AWS can drive your business growth and innovation. This presentation is brought to you by Capgemini, an AWS Partner.

SUS304 | Using AI/ML for sustained energy efficiency in industrial operations

Reducing energy consumption in operational and industrial sites is critical for organizations to stay on track with their sustainability goals. AI applications can make it radically easier for organizations to optimize their energy consumption. In this session, learn how machine learning (ML) can help derive new insights using historical data from equipment-based controllers with simulations and forecasting strategies for sustained energy efficiencies. Learn how Volkswagen Poznan and Amazon have implemented ML solutions to achieve energy optimizations across their operations and facilities.

AIM269-S | Using open source blueprints for building AI applications (sponsored by MongoDB)

Generative AI is advancing rapidly, making it crucial to adopt an open architecture that supports learning and accelerates application development. Integrating MongoDB at the core of an AI stack, especially within open source AI blueprints, boosts the AI development lifecycle. MongoDB’s ability to handle large, diverse datasets (including vector data), coupled with its scalability and flexible schema, make it essential for AI-driven architectures. By centralizing data management and offering seamless integration with AI models, MongoDB accelerates development, deployment, and scaling of AI applications. It simplifies complex data workflows and ensures that AI solutions are robust, adaptable, and prepared for real-world challenges. This presentation is brought to you by MongoDB, an AWS Partner.

MAM223 | Versuni rapidly reinvented their enterprise with RISE with SAP on AWS

Hear how Versuni, home to some of the world’s most renowned domestic appliance brands, accelerated its cloud transformation by deploying RISE with SAP and migrating 80+ business applications to AWS in only 18 months. Following a transition within this 130-year-old company, Versuni had to act fast to transform and migrate its technical estate. Versuni selected AWS for RISE with SAP. In record time, it implemented a complete business application landscape – supporting more than 40 countries and 7,000 employees – while minimizing business disruption. This session provides learnings to accelerate your own business transformation with AWS and RISE with SAP.

MFG207 | Volkswagen’s platform strategy enables production performance & quality

Quality is critical for automotive manufacturing through all production steps. In this session, learn how Volkswagen changed from a manual to an automatic, machine learning–based quality inspection approach, including label inspection, assembly checks, and crack detection. Hear the details about their scalable and sustainable implementation of more than 100 use cases, explore how Volkswagen’s Digital Production Platform has evolved over the past five years, and get a glimpse of their future vision.

PRO205 | Warehouse automation with cutting-edge supply chain solutions

Discover how Amazon created the world's fastest, most agile, and complex network of fulfillment centers through Warehouse Automation and Optimization (WAO). This session explores the digital warehouse transformation journey, the roadmap to achieve an optimized state, and demonstrates AWS's cutting-edge supply chain solutions, including facility design, simulation, automation, robotics, warehouse systems, connected data strategy, computer vision, IoT, digital twin, document digitization, and analytics and visibility. Although WAO is built for fulfillment/distribution centers, it can also be leveraged for yards, sort centers, cross-docks, transload sites, reverse logistics/returns centers, and other related nodes of a supply chain network.

Builders' session

IOT306-R2 | Automate LoRaWAN device setup with AWS IoT Core and gen AI [REPEAT]

In this builders’ session, learn the essential steps to integrate a LoRaWAN gateway with AWS IoT Core for LoRaWAN. Learn how to onboard your first LoRaWAN device effectively and set up an AWS Lambda function to decode the payload. Leave this session with the practical skills to manage LoRaWAN communications with AWS, enhancing your IoT projects. You must bring your laptop to participate.

IOT306-R | Automate LoRaWAN device setup with AWS IoT Core and gen AI [REPEAT]

IOT306-R1 | Automate LoRaWAN device setup with AWS IoT Core and gen AI [REPEAT]

MFG304 | Build a unified namespace and connect factories at scale

This hands-on builders’ session guides you through the process of connecting Siemens PLCs at scale, determining the exposed data, and generating an AWS IoT SiteWise hierarchy using generative AI with Amazon Bedrock. Learn how to take exposed data from a brownfield PLC; create an ISA-95-compliant asset hierarchy using AWS IoT SiteWise, AWS IoT Greengrass, and Amazon Bedrock; and build a dashboard displaying live data. This session offers a step-by-step, practical approach to mastering the skills needed to build a unified namespace and connecting a factory at scale. You must bring your laptop to participate.

MFG303-R1 | Building a generative AI–powered shop floor assistant [REPEAT]

Learn how to build a generative AI assistant to analyze data from industrial IoT sensors, documents, manuals, and other manufacturing systems. Also learn how to provide natural language summaries of operation statuses and current issues with suggestion actions, and how to help operators, manufacturing engineers, and factory leaders conduct Q&A–based exploratory root cause analysis to increase overall plant productivity. You must bring your laptop to participate.

MFG303-R2 | Building a generative AI–powered shop floor assistant [REPEAT]

MFG303-R | Building a generative AI–powered shop floor assistant [REPEAT]

IOT307-R2 | Deploy LLMs at the edge with AWS IoT [REPEAT]

In this builders’ session, learn how to deploy offline LLMs and a web portal as AWS IoT Greengrass components. Discover how to synchronize contextual data from private sources or Amazon S3 to build local knowledge bases. Explore Retrieval Augmented Generation (RAG) for more relevant, accurate, and customized responses, and learn how to integrate multimodal local agents for complex edge tasks. This approach unlocks LLM power at the edge, helping ensure data privacy, low latency, and tailored experiences by combining contextual knowledge with edge computing and multimodal agent capabilities. You must bring your laptop to participate.

IOT307-R1 | Deploy LLMs at the edge with AWS IoT [REPEAT]

IOT307-R | Deploy LLMs at the edge with AWS IoT [REPEAT]

MFG319 | Robotic simulation with NVIDIA Isaac Lab on AWS Batch

Simulation-based reinforcement learning (RL) has benefited the field of robotics, helping manufacturers automate complex tasks. With generative AI, robotic simulation has accelerated the development and training of models. NVIDIA Isaac Lab enables RL with realistic physics and high fidelity virtual worlds to train and test robots. This builders’ session dives deep into NVIDIA’s Isaac Lab, AWS Batch, and Amazon EC2 instances powered by NVIDIA GPUs. Through hands-on exercises, learn distributed training for robots across multiple GPU nodes, and explore the crucial sim-to-real transfer, sharing insights and strategies for effectively translating simulation learnings to real-world robotic applications. You must bring your laptop to participate.

Chalk talk

IOT308-R1 | AWS best practices for IoT and AI for industrial smart products [REPEAT]

AWS helps manufacturers connect high-value industrial products by leveraging analytics and AI capabilities from the edge to the cloud. In this chalk talk, explore how AWS helps organizations connect industrial assets, reduce total cost of ownership, accelerate innovation, and unlock industrial data, while offering more capabilities and services for their B2B customers. Learn about the latest architecture patterns using AWS IoT and AI managed services, like AWS IoT SiteWise and Amazon Bedrock. Get an opportunity to engage with other attendees and AWS IIoT specialists to get best practices and exchange insights on industrial smart products.

IOT308-R | AWS best practices for IoT and AI for industrial smart products [REPEAT]

IOT308-R2 | AWS best practices for IoT and AI for industrial smart products [REPEAT]

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.

MFG308-R1 | Build a seamless network between the factory shop floor and the cloud [REPEAT]

In the world of modern manufacturing, the concept of a ubiquitous network has emerged as a game-changer, promising to revolutionize the way we connect, process, and leverage data across production systems. Imagine an environment where computing and communication capabilities are seamlessly embedded into every aspect of your manufacturing operations, enabling real-time access to information and services, anytime and anywhere. This chalk talk explains how to build such a network on AWS and accelerate various manufacturing use cases such as predictive maintenance, quality control, supply chain optimization, and energy management, while addressing best practices and considerations for a successful implementation.

MFG308-R | Build a seamless network between the factory shop floor and the cloud [REPEAT]

CMP414-NEW | Build and run cloud-native HPC with AWS Parallel Computing Service

AWS Parallel Computing Service (AWS PCS) is a managed service that makes it easier for you to run and scale your high performance computing (HPC) workloads and build scientific and engineering models on AWS using Slurm. In this chalk talk, learn how AWS PCS works, how to build and customize your first HPC clusters, and how to get your favorite HPC workloads running on them. See how AWS PCS simplifies HPC cluster management by providing high availability, automatic patching and updates, and observability features in integration with other AWS services.

MAE307 | Build tailored, industry-specific rendering workflows on AWS

Whether you’re in media and entertainment, architecture, engineering, or beyond, this chalk talk equips you to tailor rendering workflows on AWS to your unique industry needs. Dive into building rendering environments that integrate digital content creation software, proprietary tools, and industry-leading graphics applications using open standards like Open Job Description and Conda. Optimize costs with best practices for Amazon EC2 Spot Instances for rendering workloads, and learn to use AWS Identity and Access Management (IAM) to secure your intellectual property. Maintain consistent software configurations across scalable AWS compute resources, and streamline job execution through the AWS Deadline Cloud managed infrastructure.

ENU313 | Building a gen AI factory on AWS to unlock value across business units

In this chalk talk, Moeve shares how they built their first specific gen AI use cases and how they tackled the challenge of scaling these solutions in a secure and robust way. Moeve created their gen AI factory to facilitate the development and deployment of gen AI assistants and agents across the company in order to empower people and create value. This talk provides details on the use case–oriented design and architecture based on security, privacy, and responsible use of AI.

DEV206-R1 | Containers are not scary [REPEAT]

Fear containers no more, intrepid AWS builders! This session demystifies container basics using Amazon Elastic Container Service (ECS) and Amazon Elastic Kubernetes Service (EKS) so you can learn to effortlessly build, package, and deploy apps. But wait, there's more cloud magic! This talk will also reveal how to summon the powers of AWS generative AI services like Amazon Q Developer to turbocharge your workflow. No more manually spinning up containers – learn to make AI assistants automate those mundane tasks using AWS Lambda functions. By the end, become an AWS container extraordinaire wielding the power of AI to boost productivity.

DEV206-R | Containers are not scary [REPEAT]

ENU312 | Convergence of OT/IT data in the cloud: An energy industry use case

In this chalk talk, you learn how to build a secure global operational technology and information technology (OT/IT) network on AWS, connecting disparate and remote assets like solar farms or well sites to the cloud via OPC Unified Architecture servers, supervisory control and data acquisition systems, and programmable logic controllers. The architecture promotes a 100% private OT/IT network, segregates OT/IT traffic in transit and at rest, and implements the Purdue model on AWS.

MFG310 | Deploying an MES in the cloud or at the edge on AWS Outposts

Manufacturers today are looking at how the cloud can provide flexibility and resilience, as well as reduce cost for their production critical systems. Manufacturing execution system (MES) can be deployed in the cloud or for manufacturers who need low latency or have limited bandwidth on an AWS Outpost running at the edge. In this chalk talk, deep dive into the architectural patterns for deploying a MES system on AWS and on an AWS Outpost, including network topology and connectivity. This talk also walks through the reference architecture for running Siemens Opcenter Execution on AWS in general and on AWS Outposts in particular.

MFG301 | Design an industrial data foundation for generative AI in manufacturing

This chalk talk dives deep into the architectural patterns that underpin an industrial data strategy. This foundation is critical to enabling the application of generative AI for use cases such as assisted diagnosis and troubleshooting, advanced quality defect detection, and automated information modeling and digital threads. In addition to sharing and whiteboarding architectural patterns for operational and enterprise data ingestion, data storage and transformation, and contextualization, the talk showcases generative AI manufacturing use cases with live demos and code samples.

MFG315 | Edge-to-cloud robotic solutions for optimizing manufacturing processes

Within manufacturing, the integration of robotics has revolutionized operations. However, successful implementations require careful planning. Robotic simulation is a powerful tool to virtually test and validate robotic systems before physical deployments, minimizing risks and optimizing processes. This chalk talk presents architectural patterns and a demonstration of robotic simulation with AWS IoT Greengrass and AWS IoT Core, enabling edge-to-cloud connectivity for manufacturers. This approach facilitates a validation of robotic systems using real-world data from Open 3D Engine (O3DE) simulators and AWS IoT Core, enabling manufacturers to simulate the entire manufacturing process including robotic systems, conveyors, and other equipment before physical implementation.

MFG311-R1 | Engineer and develop innovative products faster with generative AI [REPEAT]

In this session, learn how generative AI can be used in product engineering and development, from responding to a Request for Proposal (RFP) to generating new concepts and developing digital threads. Watch how to extract the key functional, technical, compliance, and user experience requirements from multiple document types including 2D technical drawings. Explore how to share data across engineering disciplines in various languages and how to enrich generative design for new product ideas. This session showcases some of these generative AI product engineering use cases with live demos and code samples.

MFG311-R | Engineer and develop innovative products faster with generative AI [REPEAT]

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.

IOT320 | IoT architecture cost optimization & explainability via Generative BI

Cost optimization is crucial for scaling IoT workloads on AWS. This chalk talk explores design patterns and AWS tools that you can use to continuously optimize workloads, maximizing resource usage while limiting infrastructure costs. Discover how to use Generative BI for cost reconciliation by automating dashboard and narrative creation. Gain insights into building cost-effective architectures that can maximize your cloud investment’s value. Learn how to create optimal IoT architectures while enhancing cost transparency, control, and forecasting.

PEX306 | Leverage ISVs and AWS generative AI to optimize your SAP RISE journey

SAP and AWS announced the publication of RISE journey maps, accessible for all AWS customers from AWS Migration Hub, and highlighted our ISVs that have proven services to facilitate the assessment, migration, modernization, and maintenance of RISE deployments on AWS. In this chalk talk, dive deep on the migration scenarios for on-premises, legacy SAP customers and learn how you can leverage Amazon Bedrock, Anthropic Claude, and Amazon Titan FMs in your business process transformation in-line with the guidance published with SAP’s Joint Reference Architecture (JRA). This chalk talk is intended for AWS Partners.

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.

MFG312 | Managing value-chain product carbon emissions data with generative AI

Manufacturers face increasing demand from customers and public authorities to accurately model, calculate, and report on their product-based carbon emissions. A credible assessment requires internal data management capabilities and the efficient exchange of high-trust information with suppliers. For larger manufacturers this may involve scaling to thousands of suppliers and/or products. Learn how connectivity, trust, and information exchange come together in the value chain, and about the mechanisms behind the modeling and calculation of product-based carbon emissions — and how it all can be accelerated using generative AI services on AWS.

IOT301-R | Preparing for the US Cyber Trust Mark: A guide for AWS IoT developers [REPEAT]

The US Cyber Trust Mark program is set to roll out in late 2024, providing a new benchmark for IoT device security. In this chalk talk, get a guide for AWS IoT developers on how to prepare for the program. Explore the program’s criteria, which include asset identification, data protection, and software updates, among others. Also learn how AWS IoT services can be used to meet these criteria and help you achieve US Cyber Trust Mark certification.

IOT301-R1 | Preparing for the US Cyber Trust Mark: A guide for AWS IoT developers [REPEAT]

DEV314-R | Relax and let the data flow: A zero-ETL pipeline [REPEAT]

Discover how to build a real-time data visualization pipeline using Amazon OpenSearch Service, Amazon Redshift, and Amazon DynamoDB, without the complexity of traditional ETL processes. Learn how to use Amazon Redshift and OpenSearch Ingestion to efficiently process and transform data, and implement a serverless architecture using AWS CDK. Explore how this zero-ETL solution can enable faster, more informed decision-making by letting you focus on deriving insights from data rather than managing infrastructure.

DEV314-R1 | Relax and let the data flow: A zero-ETL pipeline [REPEAT]

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.

IOT310 | Scaling industrial transformation with the AWS Digital Twin Framework

In this chalk talk, discover how the AWS Digital Twin Framework helps organizations build and deploy digital twins at scale, unifying capabilities across IoT, AI/ML, simulations, and spatial data planes. Learn best practices for using the framework to systematically add capabilities for common industrial use cases, such as asset performance management, production optimization, and product design. Work through flexible pathways to collect and contextualize data, overlay visual assets, deploy predictive models and simulations, and build actionable applications. Find out how the framework can help organizations overcome obstacles to deploying digital twins at scale, including integration with existing systems, information models, synchronization, and closing the loop.

IOT311-R1 | Seamless migration: Safely transitioning large IoT fleets to AWS [REPEAT]

In an era where managing extensive fleets of IoT devices and backend systems poses significant challenges, transitioning to managed solutions like AWS IoT Core becomes imperative. In this chalk talk, dive into the intricate process of migrating vast numbers of devices and backend services from self-managed brokers to AWS IoT, enabling a controlled and risk-free transition. Learn essential techniques to seamlessly migrate to AWS IoT Core without perceptible impact, minimizing error surfaces and enabling quick rollbacks in case of failures. Leave this talk with expert-level guidance on how to safely and efficiently migrate to the cloud, empowering your IoT infrastructure for the future.

IOT311-R | Seamless migration: Safely transitioning large IoT fleets to AWS [REPEAT]

BIZ204-R1 | Smarter, faster, better: Using generative AI on your supply chain data [REPEAT]

Join this chalk talk to learn how you can use the generative AI capabilities in AWS Supply Chain to get more value from your supply chain data. The talk includes an interactive discussion about how you can access a broader range of data faster, then use that data with the help of generative AI to minimize risk, lower costs, and make better supply chain decisions.

BIZ204-R | Smarter, faster, better: Using generative AI on your supply chain data [REPEAT]

MFG313 | Transforming manufacturing operations: AWS e-bike smart factory demo

In this session, dive deep into how manufacturers can leverage AWS services and partner solutions to optimize their manufacturing operations. This chalk talk uses the story of a fictitious e-bike company and a purpose-built e-bike smart factory demo. Through an architectural walk through, explore the use of AWS industrial IoT, generative AI, AI/ML, and analytics services that were used to build the demo for the use case. This includes real-time visibility of production metrics, detection of equipment anomalies, automated quality inspection and defect detection, and a generative AI assistant that provides contextual insights and guided troubleshooting.

MFG309 | Use generative AI to transform product R&D docs into MBSE models

In this chalk talk, learn how generative AI can transform product R&D documentation into actionable model-based systems engineering (MBSE) models. Organizations developing highly complex, safety-critical products like aircraft, space systems, and medical equipment require extensive collaboration across engineering disciplines and global stakeholders. Traditionally, this has relied on using documents for R&D specification and design. Explore how users can leverage generative AI to migrate from document-based to model-based systems engineering approach to help reduce design cycle times and improve operational readiness.

MFG314 | Using autonomous robot & gen AI technologies for an industrial facility

Autonomous robot inspection solutions have the potential to mitigate unplanned downtime due to undetected issues caused by human errors or knowledge gaps. They can also reduce work-related injuries inside hazardous plant environments, improve cost-efficiency, and increase productivity through the fully automated inspection process. In this chalk talk, discover the collaborative journey of Air Products, ANYbotics, and AWS on building and deploying the inspection solution in one of Air Products’ facilities, as well as using gen AI technologies to analyze and provide insights to the inspection results. Explore learnings, challenges, and best practices for creating value from this technology.

Workshop

MFG306 | A connected & optimized supply chain with AWS Supply Chain & gen AI

Supply chain-related processes and solutions usually rely on complex environments made by homegrown applications, several siloed execution systems, and point-to-point integrations. This can lead into a lack of visibility and consequent inefficiency in making the right decisions at the right time. AWS Supply Chain is able to mitigate risks, lower costs, improve visibility, and accelerate the decision-making process thanks to ML- and LLM-powered connectors, ML-powered insights and recommendations, generative AI–powered insights and analysis. In this workshop, learn how to set up the application, ingest the data, generate a demand forecast and supply plan, and use generative AI fine-tuned for supply chain to extract insights. You must bring your laptop to participate.

IOT313 | Build a generative AI industrial diagnosis & troubleshooting assistant

In this workshop, construct a generative AI–powered assistant that enhances operational efficiency and reduces machine downtime in industrial settings. While harnessing the power of large language models from Amazon Bedrock, learn how to integrate AWS IoT SiteWise and an enterprise knowledge graph, and find out how to connect knowledge bases, configure agents, and establish robust guardrails. When finished, see your generative AI assistant in action in a simulated factory environment and the impact it makes to deliver contextualized insights and actionable recommendations to plant operators. You must bring your laptop to participate.

MAM310 | Build generative AI assistants for SAP supply chain and manufacturing

SAP customers must take full advantage of their enterprise data to stay ahead. In this hands-on workshop, use SAP, generative AI, and both structured and unstructured data to optimize multiple manufacturing processes. Build a secure generative AI assistant to engage with SAP supply chain data using a conversational interface to identify top-performing suppliers, dependencies, and risk factors. Next, employ a generative AI agent to promptly address machinery issues on the shop floor leveraging unstructured data to advise users on immediate solutions and triggering processes in SAP to deploy additional resources when necessary. You must bring your laptop to participate.

MFG302 | Building a generative AI–based manufacturing digital thread

Manufacturers have vast amounts of knowledge dispersed across the product lifecycle, often resulting in limited visibility, significant knowledge gaps, and the inability to continuously improve. A digital thread offers an integrated approach to combine disparate data sources across enterprise systems to drive traceability, accessibility, collaboration, and agility. In this workshop, learn how to create an intelligent manufacturing digital thread using a combination of knowledge graph and generative AI technologies based on the data generated throughout the product lifecycle. Explore several use cases and discover actionable steps to kick-start your intelligent digital thread journey. You must bring your laptop to participate.

MFG305 | Building a smart factory with Amazon Q Business

Learn how to build and deploy an AI assistant that seamlessly integrates with AWS services, enabling interaction with your industrial data in real time. Imagine an assistant that can answer questions like “What is the OEE for this line?” or compose maintenance requests. This workshop walks through the process of deploying an API to interface with industrial IoT services and creating a custom plugin in Amazon Q Business. Coding experience isn’t required, but some API design and industrial automation knowledge is helpful. Leave this workshop with a functional AI assistant that can be tailored to your factory’s needs. 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.

IOT314 | Generative AI recommendations for effective alarm management

In this hands-on workshop, learn how to reduce operator response times with a generative AI–powered alarm management system and managed alarm events. Traditionally, when an operator receives a critical alarm due to equipment malfunction or process deviation, they must gather information from various sources including event details, sensor data, manuals, and standard operating procedures that are often scattered across data silos. This workshop demonstrates how you can build an effective alarm management system using AWS services like AWS IoT SiteWise, AWS IoT Events, Amazon Bedrock, and Amazon SNS to notify operators with contextual event information and a repair plan, enhancing the operator performance. You must bring your laptop to participate.

ENU304 | Predictive maintenance with generative AI and agentic workflows

In the era of Industry 4.0, predictive maintenance has become a cornerstone for enhancing operational efficiency and reducing downtime. Generative AI enhances predictive maintenance workflows by enabling real-time anomaly detection and actionable insights while facilitating natural language interactions and dynamic task execution through agentic workflows. During this workshop, learn how to use generative AI to detect anomalies in sensor readings from an electric motor by comparing them with the specifications in the motor's operating manual. When anomalies are detected, a large language model will utilize agents to determine who is on call and notify them of the issue. You must bring your laptop to participate.

IOT316-R1 | Unleash edge computing with AWS IoT Greengrass on NVIDIA Jetson [REPEAT]

In this workshop, walk through the process of loading AWS IoT Greengrass onto an NVIDIA Jetson server via NVIDIA JetPack SDK, remotely logging in to the edge server, and deploying an AWS IoT Greengrass component to the edge device. Gain practical experience using AWS IoT Core and AWS IoT Greengrass to orchestrate and manage edge runtime devices from the cloud. Through a step-by-step, interactive format, learn how to build solutions that extend cloud functionality to edge devices with processing, management, and AI microservices capabilities, while addressing real-world use cases. You must bring your laptop to participate.

IOT316-R | Unleash edge computing with AWS IoT Greengrass on NVIDIA Jetson [REPEAT]

MFG307 | Use ML for CAE simulation to morph geometries and predict flow fields

Jump into the role of a simulation engineer who is redesigning a vehicle’s exterior and has to show critical metrics to leadership. Learn how to deploy the AWS machine learning (ML) for simulation toolkit, and prepare a generative AI–enabled engineering environment to see how fast simulation can be. You can upload your own vehicle geometry or choose one that’s provided for you, morph it using generative AI, get aerodynamic flow field and KPI predictions, and experience how to exceed leadership expectations by delivering engineering data days ahead of schedule. Get hands-on with advanced product engineering techniques. You must bring your laptop to participate.