You’re working on the shop floor of a propeller shaft factory and need information in a hurry. What was the percentage change in the weekly defect rate? Has a key component supplier been on time to deliver parts? How often is the production line going down?
Over the years, as the market for ERP has grown, the system has been managed by an elite cadre of administrators entrusted with access privileges to retrieve data or change workflows within the system. That’s how IT works. The job of these system experts has been to safeguard data, monitor workflows and speak in the arcane language of complex enterprise software, sharing information on an as-needed basis.
Some organizations are already integrating generative AI into their operations, applying it across various functions such as product descriptions, customer service chatbots, natural language querying, reporting and in-application assistance. The overarching goal is to ensure that workers can access the right intelligence in a timely fashion to make decisions more efficiently and do what they do best.Of course, technology transitions rarely move in a straight line.
If a factory plant or a production line is underperforming or a specific material is found to be causing problems, that will now show up in a report. Also, the system will be able to piece together related data points to pick up on nascent trends and even offer predictive advice. And the updates will get pushed out in a timely fashion allowing managers to make smarter decisions based on up-to-date intelligence.