{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Factory Field Notes","title":"Ep. 15 | AI in Industrial Automation: Where It Actually Works and Where It Fails on the Plant Floor","html":"","width":"100%","height":180,"duration":1894,"description":"AI in industrial automation is producing real productivity gains and real risk at the same time. This is an honest account of where it helps and where it will confidently hand your team a wrong answer.\nSubscribe for industrial automation and manufacturing perspective from active project work.\nLearn more at Joltek:\n- Edge Computing, AI and Manufacturing Data: https://www.joltek.com/blog/edge-computing-ai-value-manufacturing-data\n- Root Causes of Downtime in Industrial Automation: https://www.joltek.com/blog/root-causes-downtime-industrial-automation\n- Workforce Development and Education: https://www.joltek.com/services/service-details-workforce-development-education\n- Operations and Performance Improvement: https://www.joltek.com/services/service-details-operations-performance-improvement\nStart with the economics, because it is the first question a manager asks. A basic subscription runs $20 per month and runs out of capacity within a few hours a day under heavy use. The higher tier is $200 per month. Against a loaded engineering rate that is not a meaningful line item. The real cost is the learning curve, paid up front by the people least able to spare the time. Anyone expecting a gain in week one will stop before getting one.\nWhere the gains are genuine. Problem definition comes first and is underrated. A systems architect is usually handed a vague requirement already attached to a proposed solution. Putting that in front of a model and asking where the approach fails produces counterpoints worth raising before anybody commits. Second, carrying context across platforms. Experience spread over Rockwell Automation, Siemens, Omron, Mitsubishi Electric, Phoenix Contact PLCnext and Opto 22 cannot be held in working memory, and returning to one after months away is where scaffolding a known function saves hours.\nThird, and this is the strongest case, reading code somebody else wrote. A conveyor that will not start, logic written by a firm nobody can reach, is a normal...","thumbnail_url":"https://img.transistorcdn.com/bLSthDC6mLkQ3vEghIEbytYZBvBBofsfsFEpsA-BvSs/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS83ZDg0/MTRlOGJkNzQxN2Ex/M2NlNjg4N2EwMzI1/MmM4NS5wbmc.webp","thumbnail_width":300,"thumbnail_height":300}