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Artificial Intelligence is shaping how modern organizations make decisions, drive critical business outcomes, and support their customers and stakeholders. But behind the innovation is a continually changing set of requirements and best practices that are key to the success of getting AI into production.

Join us for this webinar where resident AI/ML experts from AWS and Astronomer will explore:

● Real world applications driven by Apache Airflow, including conversational AI, code generation, automated troubleshooting, and practical examples of model deployment and operational LLMs ● The unique opportunities and challenges around adopting and deploying generative AI at scale ● How they are also helping their collective customers drive their own AI initiatives ● Top strategies to harness the potential of AI and natural language processing to drive innovation

Panelists:

Steven Hillion \| SVP of Data and AI @ Astronomer David Xue \| Machine Learning Engineer @ Astronomer Parnab Basak Solutions Architect @ Amazon Web Services

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To access this webinar, please register here: https://hubs.li/Q02s_8dk0

Topic: "Reliable Data Orchestration for AI Applications"

Speaker#1: Steven Hillion, SVP of Data and AI at Astronomer Steven is working on applications of Apache Airflow for operational machine learning. Previously, he founded Alpine Data, acquired by TIBCO, to build a collaborative platform for data science. Before that he led engineering at a series of start-ups in open-source machine learning and enterprise analytics. Steven is originally from Guernsey, in the British Isles, and studied mathematics at Berkeley and Oxford University.

Speaker#2: Devin Stein, Founder of Dosu Devin started Dosu to make engineering accessible to everyone. Like an engineering teammate, Dosu uses its understanding of code and code changes to answer undocumented questions from sales, triage customer-facing bugs with support, collaborate on release notes with product, and more. Previously Devin has held positions ranging from product lead, head of engineering, software engineer, data scientist, and developer.

Abstract: As Apache Airflow has become the standard for both data processing and machine learning pipelines, it has been foundational in supporting AI applications by providing an easy-to-use platform to build advanced data workflows. The teams at Astronomer and Dosu know this first-hand, applying Generative AI to automate tedious tasks for developers. They use Airflow to support AI use cases with connection management, heightened visibility, and easy setup for data orchestration tasks.

Join us for this webinar where resident AI/ML experts will explore: - Best practices for successfully getting AI into production - Real world applications\, including conversational AI\, code generation\, automated issue triage\, and practical examples of model deployment and operational LLMs - Unique opportunities and challenges when deploying generative AI at scale - How Airflow is supporting AI data pipelines\, and why dependable data orchestration is critical

ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q02w1GKB0 • Code of conduct: https://odsc.com/code-of-conduct/

To access this webinar, please register here: https://hubs.li/Q02s_8dk0

Topic: "Reliable Data Orchestration for AI Applications"

Speaker#1: Steven Hillion, SVP of Data and AI at Astronomer Steven is working on applications of Apache Airflow for operational machine learning. Previously, he founded Alpine Data, acquired by TIBCO, to build a collaborative platform for data science. Before that he led engineering at a series of start-ups in open-source machine learning and enterprise analytics. Steven is originally from Guernsey, in the British Isles, and studied mathematics at Berkeley and Oxford University.

Speaker#2: Devin Stein, Founder of Dosu Devin started Dosu to make engineering accessible to everyone. Like an engineering teammate, Dosu uses its understanding of code and code changes to answer undocumented questions from sales, triage customer-facing bugs with support, collaborate on release notes with product, and more. Previously Devin has held positions ranging from product lead, head of engineering, software engineer, data scientist, and developer.

Abstract: As Apache Airflow has become the standard for both data processing and machine learning pipelines, it has been foundational in supporting AI applications by providing an easy-to-use platform to build advanced data workflows. The teams at Astronomer and Dosu know this first-hand, applying Generative AI to automate tedious tasks for developers. They use Airflow to support AI use cases with connection management, heightened visibility, and easy setup for data orchestration tasks.

Join us for this webinar where resident AI/ML experts will explore: - Best practices for successfully getting AI into production - Real world applications\, including conversational AI\, code generation\, automated issue triage\, and practical examples of model deployment and operational LLMs - Unique opportunities and challenges when deploying generative AI at scale - How Airflow is supporting AI data pipelines\, and why dependable data orchestration is critical

ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q02w1GKB0 • Code of conduct: https://odsc.com/code-of-conduct/

To access this webinar, please register here: https://hubs.li/Q02s_8dk0

Topic: "Reliable Data Orchestration for AI Applications"

Speaker#1: Steven Hillion, SVP of Data and AI at Astronomer Steven is working on applications of Apache Airflow for operational machine learning. Previously, he founded Alpine Data, acquired by TIBCO, to build a collaborative platform for data science. Before that he led engineering at a series of start-ups in open-source machine learning and enterprise analytics. Steven is originally from Guernsey, in the British Isles, and studied mathematics at Berkeley and Oxford University.

Speaker#2: Devin Stein, Founder of Dosu Devin started Dosu to make engineering accessible to everyone. Like an engineering teammate, Dosu uses its understanding of code and code changes to answer undocumented questions from sales, triage customer-facing bugs with support, collaborate on release notes with product, and more. Previously Devin has held positions ranging from product lead, head of engineering, software engineer, data scientist, and developer.

Abstract: As Apache Airflow has become the standard for both data processing and machine learning pipelines, it has been foundational in supporting AI applications by providing an easy-to-use platform to build advanced data workflows. The teams at Astronomer and Dosu know this first-hand, applying Generative AI to automate tedious tasks for developers. They use Airflow to support AI use cases with connection management, heightened visibility, and easy setup for data orchestration tasks.

Join us for this webinar where resident AI/ML experts will explore: - Best practices for successfully getting AI into production - Real world applications\, including conversational AI\, code generation\, automated issue triage\, and practical examples of model deployment and operational LLMs - Unique opportunities and challenges when deploying generative AI at scale - How Airflow is supporting AI data pipelines\, and why dependable data orchestration is critical

ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q02w1GKB0 • Code of conduct: https://odsc.com/code-of-conduct/