AI-ready operations: Why standardized product identification is fundamental for AI initiatives
AI-ready operations: Why standardized product identification is fundamental for AI initiatives
Date: December 10
Time: 10am ET/ 4pm CET
AI Is Ready. Your Operations Might Not Be.
AI is no longer a future ambition, it's a competitive imperative. Yet for most businesses, the path to AI-ready operations is blocked by a common, preventable problem: inconsistent processes, fragmented systems, and unreliable data that vary across sites, teams, and platforms. Years of growth, acquisitions, and evolving technologies have created complex brownfield operating environments that make it difficult to achieve the consistency, visibility, and data integrity needed to support AI, smart factory, and intelligent organizations.
The challenge is not a lack of AI opportunity; it's an absence of operational standardization and trusted data. Organizations want to pursue smart factory, AI, and autonomous operations initiatives, but fragmented processes and poor-quality data create an unstable foundation. Without fixing this, AI initiatives stall before they scale.
Join experts from SAP, AWS, and Loftware for a fireside chat as they explore why product identification and operational standardization are not simply best practices, but fundamental for successful AI adoption.
In this session, you'll learn:
AI is no longer a future ambition, it's a competitive imperative. Yet for most businesses, the path to AI-ready operations is blocked by a common, preventable problem: inconsistent processes, fragmented systems, and unreliable data that vary across sites, teams, and platforms. Years of growth, acquisitions, and evolving technologies have created complex brownfield operating environments that make it difficult to achieve the consistency, visibility, and data integrity needed to support AI, smart factory, and intelligent organizations.
The challenge is not a lack of AI opportunity; it's an absence of operational standardization and trusted data. Organizations want to pursue smart factory, AI, and autonomous operations initiatives, but fragmented processes and poor-quality data create an unstable foundation. Without fixing this, AI initiatives stall before they scale.
Join experts from SAP, AWS, and Loftware for a fireside chat as they explore why product identification and operational standardization are not simply best practices, but fundamental for successful AI adoption.
In this session, you'll learn:
- Why fragmented processes, siloed applications, and unreliable data are the #1 barrier to AI adoption in manufacturing
- How standardization creates the reliable operational data AI and automation depend on
- How to scale AI from targeted use cases to cross-application and increasingly intelligent processes
- Why physical AI is becoming relevant to manufacturing, warehouse transformation, and supply chain logistics
- Examples of organizations that standardized first and scaled AI faster as a result
Speakers
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![Ben.jpg](https://resources.loftware.com/rs/255-NIX-729/images/ben-headshot.jpg?version=0?version=0") |
| Martin Kersch CTO Loftware |
Adelya Fatykhova Global Lead Architect Physical AI SAP |
Ben Schreiner
Head of AI and Modern Data Strategy Business Development
AWS |
Register Here!
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