Harvester Agent
Harvester Agent: Efficiently gather and process data for unparalleled insights.
Publisher
Accenture
Product Details
This agent continuously collects and parses raw multi-modal data streams from simulated employee sources, including digital activity data, raw audio data, and raw face data. It prepares the data for further processing by publishing it to dedicated Pub/Sub topics. It monitors and pulls from defined sources and filters out irrelevant or redundant data points during ingestion.
The agent provides a complete data foundation for well-being assessment, minimizing blind spots and ensuring that clean raw data leads to more accurate downstream analysis and interventions. It enables a proactive well-being system with continuous, diverse data streams and supports data-driven HR strategies. Its primary users are HR teams and data analysts, with employees benefiting indirectly. It is built with Google Cloud Pub/Sub, Cloud Functions or Run, and Colab Enterprise.
Key Use Cases
Continuous Multi-Modal HR Ingestion
Leverages Google Cloud Pub/Sub and Cloud Functions to parse and ingest disparate digital activity and behavioral signals into centralized streams for well-being analysis.
Upstream Noise Filtration for People Analytics
Filters out redundant enterprise telemetry points at the ingestion layer, ensuring downstream machine learning models receive clean, relevant workplace behavioral data.
Explore detailed deployment path
Requires Gemini. Access integration prerequisites, specialized agent configuration guides, and implementation documentation.