From Point-to-Point Chaos to Streamlined Connectivity

As manufacturing embraces AI and IoT, enterprises face increasing complexity in data connectivity. The piece discusses the costs of disjointed data systems and provides guidance on building a unified data foundation.

Given that smart factory initiatives and AI in manufacturing are accelerating, enterprises face increasing pressure to improve industrial data connectivity. Unfortunately, as industrial IoT expands across machines, sensors, PLCs and production systems, the data foundation underneath continues to be shaky. Ad hoc IT/OT integrations leave data siloed and of not much use to deliver actionable insights.

This asset explains why even though the manufacturing industry is awash in data, many companies have not realized its full potential. It explores:

  • The factors fueling the increase in point-to-point industrial connectivity 
  • The challenges and complexity created by fragmented point-to-point architectures 
  • The operational, security, and scalability costs of lacking a standardized connectivity strategy 
  • How manufacturers can build a scalable industrial data foundation to support AI, analytics, and automation initiatives

Especially as industrial AI continues to boom, this infographic serves as a necessary overview of what’s at stake when point-to-point integrations create brittle architectures that are difficult to govern, scale, and secure.  Download the asset to map your next steps as you build a scalable and connected enterprise data foundation.