Sign up to save your podcasts
Or
Share AI in Hours: Instantly Feed IBM Z Data to watsonx, SageMaker, Vertex AI & Azure ML
Share to email
Share to Facebook
Share to X
Share to email
Share to Facebook
Share to X
Or
AI in Hours: Instantly Feed IBM Z Data to watsonx, SageMaker, Vertex AI & Azure ML
Modern AI projects stall when critical data is trapped on the mainframe. In this Podcast, we discuss how PropelZ™ moves VSAM, SMF, COBOL-copybook, IMS/Db2, and other IBM Z data to any AI platform in hours, not weeks—without ETL, change-data-capture headaches, or extra MIPS.
What you’ll learn:
Why legacy ETL & CDC fail for real-time AI and analytics
Inside PropelZ’s three-stage architecture (ingest ▸ transform ▸ deliver)
Incremental updates & zIIP-eligible performance
One-click targets: Amazon SageMaker & S3, Google Vertex AI, Azure ML, IBM watsonx, Postgres, Snowflake, more
Flat-rate pricing: $50 K/yr, unlimited data, 5 certified JDBC drivers
View all episodes
By VirtualZModern AI projects stall when critical data is trapped on the mainframe. In this Podcast, we discuss how PropelZ™ moves VSAM, SMF, COBOL-copybook, IMS/Db2, and other IBM Z data to any AI platform in hours, not weeks—without ETL, change-data-capture headaches, or extra MIPS.
What you’ll learn:
Why legacy ETL & CDC fail for real-time AI and analytics
Inside PropelZ’s three-stage architecture (ingest ▸ transform ▸ deliver)
Incremental updates & zIIP-eligible performance
One-click targets: Amazon SageMaker & S3, Google Vertex AI, Azure ML, IBM watsonx, Postgres, Snowflake, more
Flat-rate pricing: $50 K/yr, unlimited data, 5 certified JDBC drivers