Building a Data-Driven HR Platform at 15Five with Guy Dassa
Data and AI are revolutionizing HR, empowering leaders to measure performance and drive strategic decisions like never before.
In this episode, we explore the transformation of HR technology with Guy Dassa, Chief Technology Officer at 15Five, as he shares insights into their evolving data platform. Guy discusses how 15Five equips HR leaders with tools to measure and take action on team performance, engagement and retention. He explains their data-driven approach, highlighting how Apache Airflow supports their data ingestion, transformation, and AI integration.
Key Takeaways:
(01:54) 15Five acts as a command center for HR leaders.
(03:40) Tools like performance reviews, engagement surveys, and an insights dashboard guide actionable HR steps.
(05:33) Data visualization, insights, and action recommendations enhance HR effectiveness to improve their people's outcomes.
(07:08) Strict data confidentiality and sanitized AI model training.
(09:21) Airflow is central to data transformation and enrichment.
(11:15) Airflow enrichment DAGs integrate AI models.
(13:33) Integration of Airflow and DBT enables efficient data transformation.
(15:28) Synchronization challenges arise with reverse ETL processes.
(17:10) Future plans include deeper Airflow integration with AI.
(19:31) Emphasizing the need for DAG versioning and improved dependency visibility.
Resources Mentioned:
Guy Dassa -
https://www.linkedin.com/in/guydassa/
15Five -
https://www.linkedin.com/company/15five/
Apache Airflow -
https://airflow.apache.org/
MLflow -
https://mlflow.org/
DBT -
https://www.getdbt.com/
Kubernetes -
https://kubernetes.io/
RedShift -
https://aws.amazon.com/redshift/
15Five -
https://www.15five.com/
Thanks for listening to The Data Flowcast: Mastering Airflow for Data Engineering & AI. If you enjoyed this episode, please leave a 5-star review to help get the word out about the show. And be sure to subscribe so you never miss any of the insightful conversations.
#AI #Automation #Airflow #MachineLearning
Información
- Programa
- FrecuenciaCada semana
- Publicado24 de octubre de 2024, 10:00 UTC
- Duración20 min
- Temporada1
- Episodio14
- ClasificaciónApto