Evaluating today's data storage landscape & preparing for the future of AI

10am Houston / 12pm São Paulo / 4pm London

Access to historical process data is no longer just an operational necessity; it's the foundation for advanced analytics, regulatory compliance, and successful AI implementation. Yet many manufacturers struggle to understand how the most widely used data storage systems differ, and how to design a cohesive architecture that meets their unique data goals.

This webinar takes a deep dive into industrial historians, data lakes, and time-series databases to explain how each system is designed, where it excels, and how they work together to scale from real-time operations to advanced analytics and predictive modeling. Whether you're evaluating your first historian implementation or modernizing an enterprise-wide data stack, you'll leave with a clear framework for turning today's data storage options into a scalable, future-ready industrial data architecture.

Key Takeaways:

• A practical comparison of industrial historians, data lakes, and time-series databases
• How to design a data architecture that supports operations, compliance, and AI
• Strategies for centralizing and contextualizing process data to improve production outcomes
• How AI and advanced analytics are reshaping industrial data management decisions

Industry experts from dataPARC will answer your questions during the session.

Click the following link to see the starting time in your local time zone:
https://www.timeanddate.com/worldclock/fixedtime.html?iso=20260617T08&p1=202