Natalie Gilbert, a 30-year-old data scientist at AT&T, describes using foundational speech-recognition research her father Mazin Gilbert helped pioneer to build AI agents and copilots. She says those agents now power projects that identify HR policies and streamline employee workflows, while most development work centers on prompt engineering and understanding model behavior. The projects aim to reduce friction across AT&T's large organization.
Key Points
- 1Builds AI agents using convolutional neural network foundations from early speech recognition research.
- 2Transforms HR workflows by locating relevant policies, reducing employee confusion across AT&T’s large organization.
- 3Urges practitioners to pair prompt engineering with model understanding and human interaction for reliable deployments.
Scoring Rationale
Practical industry profile highlights agent deployments and prompt engineering, but offers limited novel technical detail and scope.
Sources
Public references used for this report.
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