Industrial AI
Connect equipment, procedures, quality, safety and site operations.
An AI application expert maintains the customer relationship, working with product, technology, delivery, quality and domain teams.
Understands the business, matches products, defines scope, coordinates data, models and systems, and supports activation and continued use.
Connect equipment, procedures, quality, safety and site operations.
Support recruiting, audit, knowledge and professional outcomes.
Define model tasks, data requirements, evaluation and deployment outcomes.
Product teams maintain capabilities; technology teams manage architecture, data and models; delivery configures customer environments; quality and domain experts verify results; operations supports ongoing use.
Select a mature product, standard modules and work nodes. Agree on customer workflows, configuration scope, extensions and acceptance criteria.
Reuse, configure and orchestrate established work nodes on VIF. Connect customer data and systems, and assemble knowledge and RAG, domain rules, permissions and business workflows.
Select models, rules and tools from the capability library for each node’s task. Improve retrieval and outcomes, and fine-tune or train specialized vision, action or time-series capabilities where needed.
Bind product, VIF, node and customer configuration versions in one release manifest. Complete integration, quality and operating acceptance, user training and activation.
Use the VIF evolution engine to collect feedback and difficult cases, update knowledge, models and work nodes, and release regression-tested upgrades. Retain reusable improvements in the foundation and products.