Industry guide: Energy & Utilities
This guide highlights sessions and learning opportunities at re:Invent 2024 specifically for energy and utilities professionals that explore opportunities to reimagine how energy is produced, distributed, and consumed worldwide.
Howard Gefen
General Manager, Energy & Utilities, AWS
The global energy landscape is changing rapidly. Driven by rising demand, the need to decarbonize, and an increase in technological disruption, the industry must reimagine how energy is produced, distributed, and consumed worldwide. This evolution requires innovative thinking, bold actions, and unprecedented collaboration across the energy ecosystem.
At re:Invent 2024, we will unite executives and builders across the energy and utility industries to take on the challenge of our generation as we reinvent energy, together. Whether you’re interested in a breakout session, chalk talk, builders’ session, or workshop, there’s something for everyone at re:Invent to help you along your transformation journey.
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 Energy & Utilities blog and follow us on our LinkedIn page to stay up to date on all things energy and utilities at re:Invent.
Breakout session
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.
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.
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.
SUS203 | Enabling the future: Nuclear fusion on Elastic Fabric Adapter
Fusion energy is a potential source of clean energy that could contribute to the global transition to a net-zero economy. It has been a topic of research for the last 50+ years, and now cloud technologies are helping to accelerate its pace of development. In this session, hear from AWS energy experts on the role of cloud technologies in fusion. Also learn how Realta Fusion has leveraged Amazon EC2 HPC instances and Elastic Fabric Adapter to demonstrate, for the first time, that plasma physics stability simulations are possible using the highest-fidelity plasma models available.
SUS204 | How to achieve water goals with AWS technology
Water is a precious resource, and organizations around the globe are stepping up to do their part in protecting it. In this session, learn about AWS efforts to conserve and reuse water across its onsite operations and in communities where it operates as part of its Water+ commitment. Also learn how AWS customer Generation Park, a McCord Development project, is leveraging the Garnet Framework and AWS Partners to build an IoT water monitoring solution to reduce water wastage and set a foundation for future smart city projects.
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.
AIM118-S | Transforming customer service with data, AI, and Amazon Connect (sponsored by PwC)
Join this session with PwC and industry executives to discover how transformational strategies using generative AI and conversational AI are revolutionizing customer service. Learn how leading CIOs have transformed their approach from multichannel to omnichannel contact center solutions using Amazon Connect, Amazon Lex, and Amazon Bedrock. Discover ways to enhance customer experience through real-time data, predictive analytics, and a unified customer data platform. See the impact of using generative AI and conversational AI to increase containment, reduce transfers, and personalize interactions. Don’t miss this chance to explore the future of customer service on AWS with PwC. This presentation is brought to you by PwC, an AWS Partner.
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]
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-R1 | 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.
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]
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-R | 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.
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]
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-R | 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.
Chalk talk
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.
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.
BIZ319 | Driving operational excellence with AWS Supply Chain
Join this chalk talk to learn how AWS Supply Chain Work Order Insights enables operational visibility for gas, petroleum, and manufacturing companies. The solution provides end-to-end tracking of work order material movement, accurately forecasting onsite delivery dates, proactively identifying risks that impact planned maintenance, and recommending mitigations. By shifting to a proactive approach, Work Order Insights helps reduce expedited shipping, minimize inventory buffers, and maximize asset uptime—driving operational excellence and cost savings in your operations.
ENU302-R | Increasing productivity in energy trading with generative AI [REPEAT]
In this chalk talk, learn how TotalEnergies used generative AI to streamline energy trading activities. Discover how an AI assistant enabled access to trades through natural language, enhancing trader productivity. Additionally, explore an LLM-powered reconciliation system deployed on Amazon Bedrock that improved transaction integrity. Gain insights into the journey—from ideation to production implementation—with these transformative applications.
ENU302-R1 | Increasing productivity in energy trading with generative AI [REPEAT]
In this chalk talk, learn how TotalEnergies used generative AI to streamline energy trading activities. Discover how an AI assistant enabled access to trades through natural language, enhancing trader productivity. Additionally, explore an LLM-powered reconciliation system deployed on Amazon Bedrock that improved transaction integrity. Gain insights into the journey—from ideation to production implementation—with these transformative applications.
ENU301-R | Migrating an energy trading application to AWS [REPEAT]
In this chalk talk, hear how an international energy company migrated its business-critical energy trading and risk management system, Openlink Endur, to AWS. This talk dives into the technical and strategic aspects of this migration, showcasing how the organization used AWS services to enhance performance, scalability, and resilience. Learn about the challenges faced, the innovative solutions implemented, and the tangible business benefits realized, including faster feature delivery, improved developer experience through enabling rapid provisioning of dedicated environments, and increased global availability. Come discover how this migration to AWS has positioned the company for long-term success in the dynamic energy market.
ENU301-R1 | Migrating an energy trading application to AWS [REPEAT]
In this chalk talk, hear how an international energy company migrated its business-critical energy trading and risk management system, Openlink Endur, to AWS. This talk dives into the technical and strategic aspects of this migration, showcasing how the organization used AWS services to enhance performance, scalability, and resilience. Learn about the challenges faced, the innovative solutions implemented, and the tangible business benefits realized, including faster feature delivery, improved developer experience through enabling rapid provisioning of dedicated environments, and increased global availability. Come discover how this migration to AWS has positioned the company for long-term success in the dynamic energy market.
QTC302 | Quantum computing empowering classical workflows in technical computing
In this chalk talk, explore how you can integrate cutting-edge quantum computing into existing classical tools and workflows. Discover how MATLAB, a leading platform for scientific and engineering computing developed by MathWorks, has already made that connection. Hear about the MATLAB Support Package for Quantum Computing, which, by integrating with Amazon Braket, allows uses to incorporate quantum programs and execute on gate-based quantum hardware directly from within the MATLAB environment. Through practical demonstrations that include quantum machine learning, quantum Monte Carlo, and protein folding, learn how MATLAB and Amazon Braket can be combined to assess the potentially disruptive potential of quantum computing.
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-R | 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-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.
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]
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.
IOT312 | Talking to your smart home using conversational generative AI
Discover how generative AI can revolutionize smart home experiences by enabling intelligent, responsive multistep task planning and execution, such as building grocery lists based on fridge contents. In this chalk talk, learn foundational concepts for connecting smart home devices to the cloud and building conversational generative AI systems to interact with the physical world. Using large language models, explore how to integrate sensor data, automate smart home devices, and orchestrate applications to generate actions and recommendations based on context from sensors or cloud data sources.
ENU303 | Unlocking subsurface data with Energy Data Insights on AWS
Explore the synergy of business intelligence, data management, and geospatial analytics within subsurface workflows. AWS has iterated the OSDU Data Platform into a managed service called Energy Data Insights on AWS (EDI). Discover how the EDI solution, along with industry-specific data offerings, integrate with Amazon Q to empower energy companies to overcome data silos, streamline workflows, and gain actionable insights. Learn how this seamless integration of subsurface data is enabling faster decision-making, improved collaboration, and increased exploration success. Dive into real-world use cases and unlock the full potential of your energy data through this technical chalk talk.
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
ENU314 | Bring AWS IoT SiteWise visualizations into web applications
AWS IoT SiteWise Monitor allows you to build portals and dashboards for visualizing asset measurements on AWS IoT SiteWise. AWS IoT Application Kit is a development library for building industrial IoT web-based applications; it helps retrieve data from AWS IoT SiteWise and AWS IoT TwinMaker and provides frontend components and utilities. In this workshop, build a React web application with AWS Amplify and, using components of AWS IoT Application Kit, connect to AWS IoT SiteWise to incorporate live visualizations of telemetry data into the application. 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.
NTA404 | Empower executives: Self-service dashboards with Generative BI
In today’s data-driven business landscape, executives and decision-makers need real-time access to actionable insights. However, traditional business intelligence (BI) tools often require technical expertise and can be time-consuming to navigate. This hands-on workshop shows you how to empower your executives to get insights on their own. Leverage the latest Generative BI capabilities in Amazon QuickSight to build a powerful executive dashboard in minutes using natural language. Learn how Amazon Q makes it easier for business users to understand data with executive summaries, context-aware Q&A, and data stories that help drive decisions from insights. 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.