As part of your Master thesis, you will build an Agentic AI system within the Robert Bosch IT infrastructure.
You will connect this system to the Semiconductor Database (DB) and its DB description, as well as train the agent using it.
In addition, you will research how effectively the agent can translate natural language intent into deterministic database operations.
Furthermore, you will investigate the efficiency and accuracy of Agentic's autonomous reasoning loops compared to traditional human-in-the-loop data science workflows.
Last but not least, you will learn how the agent tests hypotheses against historical data by simulating interventions (e.g. in manufacturing processes), in order to make robust, data-driven decisions.
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