The main device Since about 1900, a steel cannon has been the same for grinding, but manufacturers steadily automatically automatically automatically. Today, this process is directed by a conveyor belt and is automatic in most cases. The most urgent thing for humans is to understand when it is wrong – and even soon the artificial intelligence can be left.
The Shepherd factory in Hamburg begins with a steel wire, which is cut and pressed to rough balls. These cannons are hardened in a series of furnaces and then placed three precise incremental wheels until the spherical is in the tenth of the micron. The result is one of the most diverse components of the modern industry and makes low friction connections in everything from laathes to car engines.
This level of accuracy requires continuous testing – but when the defects are turned on, their tracking can provide a puzzle. The experiment may show the defect that occurs at some point in the assembly line, but the cause may not be obvious. The torque may be off on a screw tool, or a newly replaced grinding wheel affects the quality. The problem tracking means comparing data in several pieces of industrial equipment, none of which are designed.
This may be the work of machinery soon. Last year, Shafler became one of the first users of Microsoft’s factory operations, a new product made from large language models, specifically designed for manufacturers. The ChatBot style tool can help track the causes of defects, failures or extra energy consumption. The result is something like ChatGpt for factories that Openai models are used thanks to its cooperation with Microsoft’s Azure in the background.
Microsoft’s vice president of Kathleen Mitford describes the project as “an argument that operates at the top of manufacturing data”. As a result, Mitford says, “The agent is capable of understanding the questions and translating them with accuracy and accuracy against standard data models.” So a factory worker may be a question like “What makes it higher than usual?” And this model can respond with data available throughout the production process.
This representative has been deeply integrated into the products of Microsoft’s existing company, especially Microsoft’s fabric, its data analysis system. This means that Shafler, which runs hundreds of plants on the Microsoft system, is capable of training his representative on data around the world.
Stephen Sotchek, Vice President of President Shafler, says the scope of data analysis is the real power of the system. “The main benefits of your chat are not your chat, though it helps,” he says. “This composition is this ot [operational technology] The data platform in the background, and the chatbot by relying on the data. “
Despite the name, this is not AI: it has no purpose and its power is limited to answering any question the user wants. You can set the factor to execute the basic commands through Microsoft’s Copilot Studios, but the goal is not to make the decisions. This is primarily AI as a data access tool.
