Kumi Chetty of HPE South Africa on How to make generativeAI boring – and productive ~
As South African companies increasingly explore generative AI projects, they may well find productive applications of the technology are less exciting than the hype suggests.Recently, the situation around ChatGPT was compared with the hype that was unleashed by the appearance of AI “Watson” in the Jeopardy show in 2011.
When communicating with the AI assistant, the factory staff does not have to adhere to any predefined system or use any specific terminology. The dialogue is also possible in several languages, regardless of the language with which it was trained. A simple example of dialogue would be: “Emergency! How can I stop the robot immediately?” Answer: “Press the emergency stop button. It’s the big red button on the top right of the handheld unit.
The capabilities of such an AI assistant can be extended to the entire production environment of a factory and also to the supply chain – for example by being trained with further technical documentation as well as with information on suppliers, supply agreements, legal terms and regulations, costs, or CO2 emitters. Generative AI is thus becoming a tool to reduce costs, minimise risks and improve sustainability along the entire supply chain.
This includes basic requirements such as expertise in regard to data value creation and artificial intelligence, as well as the integration of AI assistants in operational security and risk management processes. Running the large language model on a private on-premises infrastructure helps protect trade secrets and avoid cloud dependencies.
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