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.

The automotive industry is rapidly changing the way it has conducted business for more than a hundred years. Safety, meeting regulatory requirements, and a commitment to generating consumer excitement remain top priorities. But achieving those goals in the context of a connected, autonomous, shared, and electric future demands new ways of working.

AWS for Automotive is dedicated to enabling what’s next in the auto industry with solutions that help organizations gain new capabilities across 8 strategic workloads. Listen to AWS Automotive Solutions Director Bill Foy describe how data and software-defined are poised to empower automotive companies with new insights, agility, and revenue streams.

Explore Auto Solutions