As manufacturers accelerate investments in AI and advanced analytics, many encounter unexpected barriers rooted in their existing IT and operational technology (OT) environments, according to an analysis by E Tech Group, an Ohio provider of industrial automation and systems integration.
Specifically, challenges related to data quality, system integration, and infrastructure readiness remain key obstacles. And issues such as unstable network architecture, fragmented systems, inconsistent data, and gaps in historian strategy can significantly limit the effectiveness of AI-driven solutions.
“Manufacturers are under pressure to adopt AI, but many are trying to build on a foundation that isn’t ready,” said Matt Wise, CEO of E Tech Group. “Without a secure, well-architected IT/OT environment, organizations risk stalled initiatives and missed ROI.”
To help manufacturers address their foundational challenges before they derail AI initiatives, E Tech Group is hosting an online training session to help attendees understand the risks and take a more strategic approach to AI readiness.
“Manufacturers need a clear picture of how their systems, networks, and data environments are performing and where vulnerabilities exist,” said Eric Medecke, Director of IT/OT Solutions at E Tech Group. “By identifying gaps in cybersecurity, network design, and system integration, organizations can prioritize improvements that reduce risk and create a scalable foundation for AI and other advanced technologies.”
