Emerson Added AI and Scheduling to SystemLink Software
Engineering teams can now leverage automated test planning and troubleshooting to accelerate product development cycles.
Updated on Sept. 28, 2026 in Manufacturing
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Emerson has released significant enhancements to its NI SystemLink software, incorporating AI-driven troubleshooting and resource scheduling features to boost testing efficiency. The updates were unveiled during the NI Days Japan event to help firms manage increasing product complexity.
Why it matters
Engineering organizations often struggle with low test throughput and the inability to pinpoint failure root causes using raw data alone. These software changes aim to provide better operational visibility to reduce diagnostic bottlenecks in high-volume testing environments.
Customer studies of the NI SystemLink platform demonstrate a 95 percent reduction in reporting and analysis time versus prior manual workflows. Organizations leveraging the platform have also reported up to 2x higher daily test throughput.
The players
Emerson
A global technology and engineering company that provides automation and testing solutions for industrial and manufacturing sectors.
The details
The platform centralizes connectivity between test data, physical assets, and software versions to streamline fragmented engineering workflows. By integrating preconfigured dashboards and the new NI Nigel AI, the system automates troubleshooting processes that previously required manual analysis. This allows engineering managers to synchronize resource scheduling with test planning to address failure root causes more rapidly.
Timeline
2018: The NI SystemLink platform was originally introduced.
September 16, 2026: Emerson announced the latest software enhancements.
Market Landscape
The NI SystemLink platform represents a critical infrastructure layer for hardware testing and product development. Integrating AI into this workflow signals a transition toward automated root-cause analysis in an industry previously dependent on manual data review.
Managers overseeing product testing should evaluate whether current data silos prevent effective root-cause analysis and limit daily throughput. Consider if your existing dashboard workflows can integrate with these new automated troubleshooting tools to reduce overall labor costs.
The takeaway
Emerson’s update underscores a trend where test throughput is increasingly gated by data interpretation speed rather than hardware capacity. Operators should track their average reporting and analysis time as a key performance indicator for their testing departments.
Further reading
For more on the latest developments in testing and automation, visit the Manufacturing section.
Source note: This article includes information reported by Embedded Computing Design.
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