AWS for Industries

AWS re:Invent 2024 – Powering Automotive and Manufacturing Innovation

The annual AWS re:Invent conference is right around the corner, and this year’s event is shaping up to be one of the most exciting yet – especially for companies in the automotive and manufacturing industries. Taking place from December 2-6, 2024, in Las Vegas, re:Invent 2024 will provide an inside look at how leading automotive and manufacturing companies are using AWS to accelerate innovation and transformation. Not only will there be dedicated session tracks and demos, but there will also be inspiring keynotes, educational bootcamps, and plenty of peer-to-peer networking opportunities.

At the heart of this year’s automotive and manufacturing presence will be the transformative power of generative AI. Learn how generative AI is revolutionizing the industries by enabling global engineering teams to collaborate more effectively, accelerating software development and testing, and bringing products to market faster. Read on to get a sneak peek of what attendees can expect to learn and see at re:Invent 2024.

Automotive – accelerating the future of mobility

The automotive industry is undergoing a profound transformation with rapid technology advancements, and you get a chance to learn about it through the focused automotive sessions and demos in the expo hall.

The Automotive session track will feature a mix of breakout, chalk talks, workshops, builders’ sessions. The technical sessions will allow you dig into topics like the acceleration of vehicle software development and enable you to learn how to build a vehicle insights assistant. The breakout sessions showcase real world examples from customer speakers like Toyota, Honda, Ford, and Rivian.

Get hands on with Automotive demos in the Industries Pavilion at the Expo in the Venetian. You’ll be able to check out a new vehicle from Toyota and engage with a virtual assistant to learn more. You’ll also see how generative AI can speed up software development and testing in the cloud by making a software change in the cloud and then see it come to life on digital cockpit hardware. Additionally, you can sit in a racing seat, drive in a simulation, and be able to see your driving data stream live on a dashboard monitor, and then use a generative AI-powered application to ask questions about the data and gain insights.

Manufacturing: accelerating manufacturing innovation

re:Invent 2024 promises to showcase the art of what’s possible for industrial companies through customer examples and interactive displays. Through a variety of focused sessions and demos in the expo hall, attendees will see how manufacturers are using AWS cloud technology to accelerate product development, optimize factory operations, and create software defined products for new customer experiences.

The Manufacturing track at re:Invent is the largest ever, with a broad range of content sessions. The Breakouts sessions highlight customer use cases with customer speakers from Volkswagen, Gousto, Samsung, Georgia-Pacific, and Rehrig Pacific. The technical chalk talks, workshops, and builders’ sessions will cover topics from how to build an industrial data fabric to building your own operator assistant with generative AI to developing a seamless network between the shop floor and the cloud. There are sessions covering the full manufacturing value chain – from design to smart products through supply chain and sustainability.

In the expo hall, the manufacturing presence will feature a dedicated space showcasing a range of demos aligned to strategic workloads from engineering and design to smart manufacturing. At the heart of this area will be the “e-Bike Smart Factory” machine, which will bring to life an end-to-end process for manufacturing electric bicycles, showcasing how AWS services and Solutions can be used to drive improvements in product quality, operational efficiency, and agility. This Smart Factory demo tells the story of a company that designs, manufactures, and manages a fleet of e-bikes for a bike sharing program. You can see several bike frames rotating along the conveyor belt across 3 stations: welding, inspection and sealing. We are continuously collecting and processing data at each station, analyzing that data and deriving metrics for use cases such as asset monitoring, predictive maintenance, and anomaly detection that can help the manufacturer identify and predict anomalies, defects, and equipment issues.

Alongside the e-Bike Smart Factory, the manufacturing demo area will feature five additional demos covering a variety of use cases – including how generative AI can be used to connect industrial machines at scale and map the data automatically, and how to build an industrial data fabric.

Industry partner alignment

To further enhance the automotive and manufacturing presence at re:Invent, seven AWS Partners, including Siemens, Matterport, MongoDB, Belden, Wind River Systems, Upstage, and Claroty, will have a dedicated presence in the Industry Partnership Expo area, showcasing their solutions running on AWS.

Build your experience

AWS re:Invent 2024 promises to be the must-attend event for automotive and manufacturing customers looking to transform their business. Get ready for an insightful week, and plan to visit re:Invent 2024:

  • Visit the re:Invent 2024 website to learn everything you need to know about the event, including the latest updates
  • Use the Automotive Attendee Guide and the Manufacturing Attendee Guide to create a custom agenda and build your experience at the show.
  • While you’re in Las Vegas, stop by the Industries Pavilion at the Expo Hall located in the Venetian to learn more about AWS manufacturing and automotive solutions.
Tiffany Pfremmer

Tiffany Pfremmer

Tiffany is a Sr. Marketing Manager at Amazon Web Services focused on the Manufacturing and Industrial industry. With over 15 years at Rockwell Automation where she held various roles in Marketing, Quality, and Services, Tiffany has focused on marketing and providing customer-focused solutions to manufacturers on their all aspects of their value chain.