The automotive track at re:Invent will highlight cutting-edge technology areas like vehicle to cloud connectivity, autonomous driving development, and software defined vehicles. Breakout sessions like Honda's future of EV charging with Amazon Bedrock demonstrate what’s possible now, and what’s next. You can also experience immersive demos in the Expo Hall such as the autonomous driving simulator, where you can step into the driver seat, navigate a virtual cityscape, and get real time driving insights.

Listen to the podcast to get a preview of the event and stay ahead of the crowds. Register for re:Invent online and make a detailed agenda with the automotive attendee guide.

AWS’ biggest event runs from December 2 – 6 in Las Vegas. This year, attendees will hear from leaders at Georgia Pacific, Samsung, and Volkswagen who will share their challenges and successes leveraging generative AI, data and analytics, and digital twins. AWS experts will also be available across 21 manufacturing sessions to offer insights and hands-on support for executives and developers alike. Listen to the episode to get ahead and maximize your time.

You can also register to attend and plan further with the detailed attendee guide.

One of the biggest barriers in the software-defined product journey is the transition to new ways of working. But consumer demand for software-defined products means companies in disparate industries, such as manufacturing, telco, and healthcare, have to make the decision to shift left.

In the latest episode, hear how gen AI can make the evolution to DevSecOps easier by boosting overall productivity, providing task automation, and generating entirely new code. We also highlight new gen AI demo features available from AWS Technology Partner Wind River and AWS. You can get first-hand experience with the new features at the AWS Prototyping and Innovation Lab in Santa Clara.

To schedule your visit email: [email protected] 

Listen to a related episode: Data & software-defined poised to reinvent auto industry

In manufacturing, every plant is unique, which is why there’s no universal solution to solve the data silo problem that’s blocking smart manufacturing initiatives. But there is a new path to Industry 4.0. AWS manufacturing customers are seeing success enterprise-wide with Industrial Data Fabric (IDF) solutions that are tailored to meet specific environments. IDF solutions address ingesting, storing, and contextualizing disparate datasets to provide needed insights.

Listen to the podcast and learn how Industrial Data Fabric can be the mechanism to deploy an enterprise-wide data strategy and lay a foundation to leverage generative artificial intelligence.

Autonomous mobility continues to expand its relevance beyond the automotive industry into other verticals, like agriculture and mining, because autonomously managing devices can enhance people's safety, boost efficiency, and reduce costs. Today, the requirements for delivering autonomous mobility are better understood, but challenges persist and evolve, such as increasing data volume, toolchain complexity, and pressures related to cost and time-to-market. In this episode, Ashika Schroll, Autonomous Mobility Partner Strategy Lead, shares best practices and the latest solutions that are helping customers realize their autonomous vision.

Chemical manufacturers are facing new challenges and costs associated with energy prices, supply chain issues, and sustainability regulations. Digitizing operations and migrating applications to the cloud are helping chemical manufacturers solve these challenges. For example, digitizing operations provides actionable data insights into energy consumption, allowing manufacturers to reduce usage and or select more renewable sources. It also creates new process efficiencies as data becomes centralized and readily available. And customers are getting these benefits while saving 20% in IT costs, on average. Listen to the podcast and learn how AWS is helping chemical manufacturers get new visibility and control over their environment, while providing a foundation for strategic innovation.

The latest connected mobility use cases are helping auto companies realize value and achieve business goals in new ways. Safety and convenience use cases are still top priorities for companies and consumers, and technology is fueling new capabilities, such as maintaining a 360 degree view of a parked vehicle. What’s more, emerging use cases, supported by artificial intelligence, will shape the purchasing experience and general vehicle operations. Meanwhile, the underlying foundation for better, more relevant offerings is data, which means developing and maintaining a data strategy is critical.

Listen to the podcast to hear about connected mobility trends, best practice strategies, and purpose-built solutions for accelerating delivery.

In the last year, manufacturers have been experimenting with generative artificial intelligence. While it’s still early days, there has been a maturity in the industry with some companies moving past experiments and advancing to implementing production workloads. How did they get there? Principal AI / ML Strategist Danny Smith explains. Danny also provides emerging gen AI trends, latest use cases, and best practice guidance to get started, from setting aside budget, establishing a data strategy, and approaching organizational change. If you have additional questions, reach out to your AWS team or email us at domorewithaws (at) amazon.com

Listen to the Gen AI in Auto episode.

Get a pulse check about generative AI in the auto industry and learn where the industry is now and areas its exploring for the future. Principal AI / ML Strategist Danny Smith shares top auto-specific gen AI use cases and details patterns he’s seeing from global automotive customers.

You’ll also hear best practice guidance to get started on your gen AI journey. If you have additional questions, reach out to your AWS team or email us at domorewithaws at amazon.com

By digitizing operations with a manufacturing execution system (MES), organizations can save costs while gaining new visibility into processes and KPIs. According to Aberdeen Strategy and Research, implementing an MES offers 2X total cost per unit improvement and a 6% increase in overall equipment effectiveness. What’s more, a cloud-based MES can further reduce costs, by lowering deployment and maintenance overhead. Listen to the podcast to hear from Darpan Parikh, Head of Composable Operations Solutions, and Magnus Akesson, Head of Manufacturing Solutions. They share specific MES best practices for any manufacturing organization, whether interested in deploying an MES for the first time or seeking to modernize an existing system.

Watch a recording of a virtual customer meeting with Darpan Parikh to dive deeper into the most relevant and emerging patterns.