Discover how to streamline your data management from cloud to edge, align your infrastructure and security strategies, and maximize your current investments to make the AI opportunity viable and impactful. This session will demonstrate how Azure’s adaptive cloud approach can empower manufacturers to harness the full potential of AI. By fostering collaboration between IT and OT, we can address our biggest challenges with diverse environments, knowledge gaps, and security concerns. With insights from customer and partner success stories, and support from a dedicated standards organization, we’ll show you how to achieve and repeat AI success in asset-heavy settings. This approach not only promises immediate benefits but also provides a scalable, future-proof architecture to keep you ahead of the competition.

Key message bullets:

• Prepare for AI: Develop a digital strategy to avoid pilot purgatory and capitalize on a significant opportunity for manufacturing.
• Innovative Integration: Explore a new approach to IoT, Edge, and Cloud technologies that enhances relevance and integration for both IT and OT.
• Collaborative Tools: Discover technology principles and tools that facilitate IT and OT collaboration, streamline workflows, and bridge knowledge gaps.
• Enhanced Security: Learn how to advance security across diverse environments without requiring new skills.
• Partner Support: Understand how partners, including the Linux Project’s Margo initiative, are driving interoperability and supporting this collaborative effort.

• Data Management: What are the best practices for streamlining data management from cloud to edge in a manufacturing environment?
• Infrastructure Alignment: How can manufacturers align their infrastructure and security strategies to maximize the impact of AI investments?
• IT and OT Collaboration: What are the key challenges and solutions for fostering collaboration between IT and OT teams in the context of AI implementation?
• Security Enhancements: How can manufacturers advance security across diverse environments without requiring new skills or extensive retraining?
• Partner Ecosystem: How can partnerships, such as those with standards organizations and initiatives like the Linux Project’s Margo, support the scalability and interoperability of AI solutions in manufacturing?