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Building a Data-Driven HR Platform at 15Five with Guy Dassa

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Content provided by The Data Flowcast. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by The Data Flowcast or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ro.player.fm/legal.

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

  continue reading

35 episoade

Artwork
iconDistribuie
 
Manage episode 446645985 series 2053958
Content provided by The Data Flowcast. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by The Data Flowcast or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ro.player.fm/legal.

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

  continue reading

35 episoade

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