Although AI is relatively new, the same old rule applies: if businesses cannot trust the technology, they simply won’t use it. Nowhere is this more true than in frontline industrial applications. In these cases, a wrong answer is much more than inconvenience and can lead to real-world impacts such as a grounded aircraft, stalled production lines, and cities without power. Trust in industrial AI is built from getting accurate answers into the hands of the people doing the work while enabling them to act on them safely in live operations.

Achieving this goal comes down to one thing above all else: the strength of your ecosystem. Industrial AI will largely succeed or fail based on the underlying ecosystem the frontier labs, hyperscalers, and industry specialists and how effectively they can be brought to bear around the unique challenges of individual businesses.

IFS and Siemens’ collaboration provides an excellent example of just what can be achieved when like-minded companies work together effectively.

Bridging the space between design and operation

Siemens has a deep understanding of how products are designed and engineered, through to operations. IFS, on the other hand, brings expertise in how products are operated, maintained, and serviced. However, industrial organisations have long struggled to access the valuable information that’s lost in the space between the two and the complexities that arise. This is exactly the challenge that IFS and Siemens are working to solve across the entire asset lifecycle. Rapid innovation, underpinned by industrial AI, but with the level of context and control that industrial operators require.

This is possible because each partner complements the other perfectly. Through its comprehensive digital twin, Siemens brings engineering, design, manufacturing, production and operational intelligence to the table. IFS augments this with operational data – information on how an asset performs in the real world. The partnership provides a much broader and realistic picture of what’s happening to an asset at any given time by further enriching the comprehensive digital twin with data on what’s happening and has happened in the field. As a result, engineering intent reaches maintenance technicians and field feedback informs design and engineering teams.

Siemens and IFS are bridging a gap that the industry has thus far failed to span, that between design and operational reality. The respected strengths of each partner add up to an end-to-end approach to managing assets in the field, one that enables industrial AI leaders to connect design, production and asset performance in one continuous loop from engineering intent to operational outcome.

Better insights for better outcomes

In practical terms, the difference shows up in productivity improvements, as failures are anticipated before they happen and resolved before they cause downtime – this is technology that industrial leaders can trust. It also shows up in higher quality products as service insights are fed back to engineering teams so subsequent iterations of a product get better and better. And it means faster decision making across the board, as the entire organization works from a single source of truth that gives employees the confidence to move ahead at speed.

AI is changing the face of industry and opening whole new avenues for what is possible for industrial businesses to achieve. In the midst of this change one thing is clear: organisations that connect engineering, operations, and frontline expertise will have a significant competitive advantage. Achieving that means plugging in to the right AI ecosystem.