Which manufacturing industry are you from?
Manufacturing Plants (Steel, Automobile, Oil & Gas, Pharma etc)
OEMs (Furnace, Turbines, Cutting machine manufacturers)
Tool / Component Suppliers
Consutling related to manufacturing ( IT, Process, Manufacturing Technology)
Software & Sensors
Which data is more important in your field?
People productivity Data
Logistics (Supplier and Buyer) Data
Do you think big-data and artificial intelligence based decision making and smart factory makes a strong business case in your industry/Manufacturing plant?
What are the issues hindering adoption of AI/big-data technologies in your field of work?
Too Expensive and too difficult
High Uncertainly and risky
Financial benefits not good enough despite investment
Require considerable organizational change and people movement
Lack of success stories
At your workplace/factory, how is data produced (and collected) ?
Machine data extracted manually (manully stored in Excel sheet by shop floor engineer)
Data Logger + PLC
Data Bus ( ex. J-Bus) for external analysis
IoT sensors and cloud services deployed to collected and transmit data
No data collected
How is data used to make decisions at the manufacturing level?
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