______________________________________________________________ The Manufacturing Data Summit 2026
The approach supported more detailed forecasting of stock requirements, replenishment schedules, and future inventory positions. AI-assisted development also enabled the creation of tailored planning tools and systems capable of identifying changes in operational information and bringing them to the attention of relevant employees.
However, the experience demonstrated that technological capability does not automatically create user confidence. Employees need to understand how systems reach their conclusions, particularly when AI-generated recommendations replace familiar spreadsheets and established manual processes.
Trust must therefore be developed alongside technical capability. A system that produces useful recommendations but cannot explain the information and calculations behind them may struggle to gain acceptance, even when its underlying models are reliable.
Building the foundations for lasting transformation
Beyond the immediate challenges of AI deployment, the summit program considered how manufacturers can ensure that digital transformation strengthens rather than complicates established operational disciplines.
As factories become more connected, cybersecurity is taking on greater importance, with manufacturers having to balance the benefits of greater data availability against the risks of exposing production environments to additional systems and potential vulnerabilities. The program examined emerging regulatory pressures, supply chain exposure, and the responsibilities
manufacturing-today. com 39