In this customer spotlight, Kevin Stanley, Manager of IT at FedEx, shares how his team built a scalable foundation for industrial data operations to support robotics and site automation.

In this session, Mary McDonald, Business Development Principal at AWS, shares how manufacturers can modernize their industrial data and AI foundations—bridging OT and IT to accelerate quality, empower the workforce, and scale securely from edge to cloud.

In this discussion, Andrew Davis, Digital Manufacturing Engineer at MSA Safety, Brian Zakrajsek, Specialist Leader and Senior Manager at Deloitte, and John Harrington, Chief Product Officer at HighByte, share real-world lessons on scaling Industrial DataOps—from early data visibility initiatives to enterprise-wide architectures that accelerate AI readiness.

In this keynote, Paige Bartley, Senior Research Analyst at S&P Global, outlines how industrial organizations can mature DataOps and data management to drive high-impact outcomes across manufacturing in oil and gas—spanning IT/OT integration, AI readiness, and use-case prioritization.

In this customer spotlight, Karthik Radhakrishnan, Staff Data Architect at ConocoPhillips, shares how the company is converging IT and OT by unifying time-series data from globally distributed assets into a single enterprise data platform using HighByte Intelligence Hub and Snowflake.

In this session, Karthick Srinivasan, Global Head Operations Technology (OT) Manufacturing at AWS, shares how AWS and partners are building a sustainable industrial data fabric to power software-defined manufacturing—bridging OT and IT to support automation, predictive maintenance, and GenAI at scale.

In this discussion, Chris Waters, Senior Solution Architect at Snowflake, Mathew Jose, Solution Architect at ATI, and John Harrington, Chief Product Officer at HighByte, share firsthand insights on how manufacturers are re-architecting their data environments to scale securely and intelligently across plants and enterprise systems.

In this keynote, Sebastián Trolli, Global Head of Research for Industrial Automation & Software at Frost & Sullivan, shares how Industrial DataOps has evolved from a buzzword to the backbone of modern industrial transformation.

In this customer spotlight, David Garrison shares how National Grid modernized its data pipeline architecture using HighByte Intelligence Hub and Snowflake to transition from batch to real-time data processing.

In this session, John Harrington, HighByte Chief Product Officer, outlines how manufacturers can build a modern data strategy to power Industry 4.0 and AI. He explains the rise of Industrial DataOps as the key to unifying disconnected systems and delivering contextualized, high-quality data across operations.

In this session, Alex Francois-Saint-Cyr, Business Development Executive for Industrials at AWS, explores how Industrial DataOps and cloud technologies are reshaping modern manufacturing. She discusses how manufacturers are moving away from traditional ISA-95 architectures toward software-defined factories powered by connected, contextualized data from edge to cloud.

In this session, Aron Semle, Chief Technology Officer at HighByte, delivers a technical demo showcasing how HighByte Intelligence Hub empowers manufacturers to unify, model, and scale industrial data to drive AI and advanced analytics.

In this panel discussion, moderated by John Harrington, Chief Product Officer at HighByte, Richard Shaw from Smith & Nephew, Eric Marandett from Tulip, and Chris Demers from Skellig Automation explore how Industrial DataOps and modern automation tools are transforming regulated manufacturing.

In this session, John Harrington, Chief Product Officer at HighByte, shares the product roadmap focused on scalability, governance, and AI-driven data management. He previews HighByte Intelligence Hub version 4.3, which introduces high availability with stateful failover, new AI capabilities through Model Context Protocol (MCP) client and agent integration, expanded Azure connectivity, and an updated dashboard for improved visibility.