The access of suppliers to digitalization with AI
Basically, the manufacturers have committed the following pattern to business application:
- Engage Customer
- Reinforcement of customer loyalty, efficiency through the use of AI at the M2M interface (examples: Chatbot, Recommendations, voice assistants …)
- Enable Employees
- Know-how management, accelerating structures and improving corporate knowledge access (examples: semantic search, knowledge models, …)
- Transform Products
- AI / ML enhanced product functionality and product generation as well as product redesign (examples: MR Assistant, Siri, Alexa, Handsfree Operations …)
- Optimize Operations
- Efficiency increase through optimization in / of process steps, simulation of subject knowledge, predictions of events on process level, quality enhancements, maintenance predictions (examples: land price forecasts, planning / forecast support, pattern check on structures, …)
This is achieved through the methodical data usage for the business purpose
- Reasoning
- Reason over Data; To reach a better understanding – To derive action
- Understand
- Reasoning to predict the future and understanding; AI to go beyond reasoning
- Interaction
- To form more natural Interactions
- Transform
- Transform Business – meaning transform Production types; To raise: Additions Revenues
- Optimize
- raise efficiency in process and people and products
