Data and computation for customer experts
Your factory already has advanced experts, professional models and established systems. The difficulty may lie elsewhere: testing a judgement requires repeated requests to IT, while data from different systems does not align in time or assets. Prepare reliable site data and computation so expert judgement can become part of everyday research and operations.
General-purpose AI can help with coding and analysis. It does not automatically acquire your live production data or reconcile clocks and definitions across systems. Keeping a professional algorithm useful requires stable inputs, runtime conditions and outcome review, as well as code.
The intended result: Aligned model inputs, repeatable calculations and results with their versions and conditions, for customer specialists to review and reuse.
Customer experts define what to calculate or compare: the assets, variables and time windows needed for a quality, research or operating question. Start with existing systems and data, rather than requiring every customer to rebuild basic data management.
Connect equipment and systems, checking names, units, sampling, timestamps and missing records. Relate the data to actual assets and processes so experts can see which records can be compared and which need checking.
Connect the customer’s algorithms, models and computation tools within agreed access. A professional copilot can assist with retrieval, calculation and presentation. Customer experts judge applicability, interpret results and decide the next step.
When the site or systems change, review connections, data quality and the suitability of calculations. Retain model versions, calculation conditions and checks so later analysis can build on useful prior work.
Suited to teams with experts, systems or algorithms whose work is constrained by retrieval and runtime conditions. Define data and model access, the customer experts’ judgement responsibilities and runtime maintenance. Customer recipes, core processes and proprietary models are used under their authorization and are not treated as general knowledge to share with other customers.
Team members’ prior work in energy data, asset modelling, cross-process calculations and material quality tracking provides the professional foundation. The focus is helping your experts use their data. The technical guidance explains connections and computation conditions.
Bring one question your expert wants to resolve, the relevant systems and an available data sample. Review retrieval, time alignment and computation before choosing work that can be used and checked repeatedly.