Streamlining AI and ML Operations at IBM with BJ Adesoji and Ryan Yackel episode artwork

EPISODE · Jun 5, 2025 · 24 MIN

Streamlining AI and ML Operations at IBM with BJ Adesoji and Ryan Yackel

from The Data Flowcast: Mastering Apache Airflow ® for Data Engineering and AI · host Astronomer

The orchestration layer is foundational to building robust AI- and ML-powered data pipelines, especially in complex hybrid enterprise environments. IBM’s partnership with Astronomer reflects a strategic alignment to simplify and scale Airflow-based workflows across industries.In this episode, we’re joined by IBM’s Senior Product Manager, BJ Adesoji, and GTM PM and Growth Leader, Ryan Yackel. We discuss how IBM customers are using Airflow in production, the challenges they face at scale and what the new IBM–Astronomer collaboration unlocks.Key Takeaways:(03:09) The growing importance of orchestration tools in enterprise environments.(04:48) How organizations are expanding orchestration beyond traditional use cases.(05:24) Common patterns across industries adopting orchestration platforms.(07:16) Why orchestration is essential for supporting business-critical workloads.(10:00) The role of orchestration in compliance and regulatory processes.(13:02) Challenges enterprises face when managing orchestration infrastructure.(14:58) Opportunities to simplify and centralize orchestration at scale.(19:11) The value of integrating orchestration with broader data toolchains.(20:54) How AI is shaping the future of orchestrated data workflows.Resources Mentioned:BJ Adesojihttps://www.linkedin.com/in/bj-soji/Ryan Yackelhttps://www.linkedin.com/in/ryanyackel/IBM | LinkedInhttps://www.linkedin.com/company/databand-ai/IBM Databandhttps://www.ibm.com/products/databandIBM DataStagehttps://www.ibm.com/products/datastageIBM watsonx.governancehttps://www.ibm.com/products/watsonx-governanceIBM Knowledge Cataloghttps://www.ibm.com/products/knowledge-catalogApache Airflowhttps://airflow.apache.org/watsonx Orchestratehttps://www.ibm.com/products/watsonx-orchestrateDominohttps://domino.ai/Astronomerhttps://www.astronomer.io/Snowflakehttps://www.snowflake.com/en/dbt Labshttps://www.getdbt.com/Amazon SageMakerhttps://aws.amazon.com/sagemaker/Clouderahttps://www.cloudera.com/MongoDBhttps://www.mongodb.com/https://www.astronomer.io/events/roadshow/london/ https://www.astronomer.io/events/roadshow/new-york/ https://www.astronomer.io/events/roadshow/sydney/ https://www.astronomer.io/events/roadshow/san-francisco/ https://www.astronomer.io/events/roadshow/chicago/ Thanks for listening to “The Data Flowcast: Mastering Apache Airflow® for Data Engineering and 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

The orchestration layer is foundational to building robust AI- and ML-powered data pipelines, especially in complex hybrid enterprise environments. IBM’s partnership with Astronomer reflects a strategic alignment to simplify and scale Airflow-based workflows across industries.In this episode, we’re joined by IBM’s Senior Product Manager, BJ Adesoji, and GTM PM and Growth Leader, Ryan Yackel. We discuss how IBM customers are using Airflow in production, the challenges they face at scale and what the new IBM–Astronomer collaboration unlocks.Key Takeaways:(03:09) The growing importance of orchestration tools in enterprise environments.(04:48) How organizations are expanding orchestration beyond traditional use cases.(05:24) Common patterns across industries adopting orchestration platforms.(07:16) Why orchestration is essential for supporting business-critical workloads.(10:00) The role of orchestration in compliance and regulatory processes.(13:02) Challenges enterprises face when managing orchestration infrastructure.(14:58) Opportunities to simplify and centralize orchestration at scale.(19:11) The value of integrating orchestration with broader data toolchains.(20:54) How AI is shaping the future of orchestrated data workflows.Resources Mentioned:BJ Adesojihttps://www.linkedin.com/in/bj-soji/Ryan Yackelhttps://www.linkedin.com/in/ryanyackel/IBM | LinkedInhttps://www.linkedin.com/company/databand-ai/IBM Databandhttps://www.ibm.com/products/databandIBM DataStagehttps://www.ibm.com/products/datastageIBM watsonx.governancehttps://www.ibm.com/products/watsonx-governanceIBM Knowledge Cataloghttps://www.ibm.com/products/knowledge-catalogApache Airflowhttps://airflow.apache.org/watsonx Orchestratehttps://www.ibm.com/products/watsonx-orchestrateDominohttps://domino.ai/Astronomerhttps://www.astronomer.io/Snowflakehttps://www.snowflake.com/en/dbt Labshttps://www.getdbt.com/Amazon SageMakerhttps://aws.amazon.com/sagemaker/Clouderahttps://www.cloudera.com/MongoDBhttps://www.mongodb.com/https://www.astronomer.io/events/roadshow/london/ https://www.astronomer.io/events/roadshow/new-york/ https://www.astronomer.io/events/roadshow/sydney/ https://www.astronomer.io/events/roadshow/san-francisco/ https://www.astronomer.io/events/roadshow/chicago/ Thanks for listening to “The Data Flowcast: Mastering Apache Airflow® for Data Engineering and 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

NOW PLAYING

Streamlining AI and ML Operations at IBM with BJ Adesoji and Ryan Yackel

0:00 24:44

No transcript for this episode yet

We transcribe on demand. Request one and we'll notify you when it's ready — usually under 10 minutes.

Frequently Asked Questions

How long is this episode of The Data Flowcast: Mastering Apache Airflow ® for Data Engineering and AI?

This episode is 24 minutes long.

When was this The Data Flowcast: Mastering Apache Airflow ® for Data Engineering and AI episode published?

This episode was published on June 5, 2025.

What is this episode about?

The orchestration layer is foundational to building robust AI- and ML-powered data pipelines, especially in complex hybrid enterprise environments. IBM’s partnership with Astronomer reflects a strategic alignment to simplify and scale Airflow-based...

Can I download this The Data Flowcast: Mastering Apache Airflow ® for Data Engineering and AI episode?

Yes, you can download this episode by clicking the download button on the episode player, or subscribe to the podcast in your preferred podcast app for automatic downloads.
URL copied to clipboard!