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Seit 34 Quartalen in Folge als Leader ausgezeichnet
Sommer 2026 Leader in den Bereichen Embedded BI, Analyseplattformen, BI, ETL-Tools, Datenaufbereitung und Data Governance
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Automating PM Life with Agentic AI

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Video transcript
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Speakers
Andrea Henderson
Andrea Henderson
Principal Product Manager
Andrea Henderson
Domo
Principal Product Manager

Andrea Henderson is a principal product manager at Domo, managing Domo's Data Transformation products, including Magic ETL. She started her Domo journey ten years ago, helping customers innovate by designing scalable, high-performance data pipelines and pushing the limits of the technology. In her role as product manager, Andrea has used her passion for elegant, robust, and scalable data architecture to lead the direction for Domo’s transformation tools, including Magic ETL. As an avid Magic ETL user (and raving fan) herself, her experience with the feature and deep empathy with the Domo user community make her excited to wake up and “make Magic” every single day. Andrea also co-chairs the Everbody@Domo council, serves as a member of Domo’s Strategic Architecture Group, and is the founder and leader of Domo’s yearly Kids Summer Code Camp. When not working, she most likely has her nose stuck in a book.

Tasleema Lallmamode
Tasleema Lallmamode
Sr. Product Manager
Tasleema Lallmamode
Domo
Sr. Product Manager

Tasleema (Leema) Lallmamode is a Product Manager at Domo, where she leads product strategy for cloud connectors, Workbench (Domo's on-premise data ingestion tool), and the Connector Library. Working closely with Domo's Connectors squad, she focuses on making it easier for organizations to reliably move data from their source systems into Domo and their CDWs — from expanding connector coverage to improving how customers manage and monitor their data pipelines once they're up and running.

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Andrea Henderson and Leema Lallmamode showcase how AI agents like Phil, Jill, and Inkling can transform product management by automating complex tasks such as analyzing support tickets, extracting SQL-based insights, and managing customer feedback. These tools free up time for strategic thinking, accelerate product iteration, and enhance user-centered design. They share best practices for successful AI adoption—including choosing the right use cases, protecting data privacy, and using effective prompt engineering—and encourage others to begin their AI journey, innovate with intention, and connect to continue the conversation.

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