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The Data Flowcast에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 The Data Flowcast 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
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Streamlining AI and ML Operations at IBM with BJ Adesoji and Ryan Yackel

24:44
 
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Manage episode 486931159 series 2053958
The Data Flowcast에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 The Data Flowcast 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

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 Adesoji

https://www.linkedin.com/in/bj-soji/

Ryan Yackel

https://www.linkedin.com/in/ryanyackel/

IBM | LinkedIn

https://www.linkedin.com/company/databand-ai/

IBM Databand

https://www.ibm.com/products/databand

IBM DataStage

https://www.ibm.com/products/datastage

IBM watsonx.governance

https://www.ibm.com/products/watsonx-governance

IBM Knowledge Catalog

https://www.ibm.com/products/knowledge-catalog

Apache Airflow

https://airflow.apache.org/

watsonx Orchestrate

https://www.ibm.com/products/watsonx-orchestrate

Domino

https://domino.ai/

Astronomer

https://www.astronomer.io/

Snowflake

https://www.snowflake.com/en/

dbt Labs

https://www.getdbt.com/

Amazon SageMaker

https://aws.amazon.com/sagemaker/

Cloudera

https://www.cloudera.com/

MongoDB

https://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

  continue reading

69 에피소드

Artwork
icon공유
 
Manage episode 486931159 series 2053958
The Data Flowcast에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 The Data Flowcast 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

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 Adesoji

https://www.linkedin.com/in/bj-soji/

Ryan Yackel

https://www.linkedin.com/in/ryanyackel/

IBM | LinkedIn

https://www.linkedin.com/company/databand-ai/

IBM Databand

https://www.ibm.com/products/databand

IBM DataStage

https://www.ibm.com/products/datastage

IBM watsonx.governance

https://www.ibm.com/products/watsonx-governance

IBM Knowledge Catalog

https://www.ibm.com/products/knowledge-catalog

Apache Airflow

https://airflow.apache.org/

watsonx Orchestrate

https://www.ibm.com/products/watsonx-orchestrate

Domino

https://domino.ai/

Astronomer

https://www.astronomer.io/

Snowflake

https://www.snowflake.com/en/

dbt Labs

https://www.getdbt.com/

Amazon SageMaker

https://aws.amazon.com/sagemaker/

Cloudera

https://www.cloudera.com/

MongoDB

https://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

  continue reading

69 에피소드

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