Anything Structured Can Be Automated

  • Fachvortrag
  • Softwaredokumentation
  • 11. November
  • 02:00 PM (MEZ) - 02:45 PM (MEZ)
  • C5.2/3
  • Poonam Yadav

    • Keysight Technologies

Inhalt

“Anything structured can be automated” is a practical principle for modern technical communication. This talk explores how documentation workflows can be transformed by introducing structure at every stage, from source authoring formats to machine-readable intermediate layers and publishing-ready outputs.

Drawing from real-world experience managing large documentation systems, the session will focus on how to design content pipelines that enable automation, consistency, and scalability. It will break down how structured content, metadata, and modular architectures allow teams to move beyond manual publishing toward repeatable, system-driven workflows. The talk will also examine how AI tools depend on structured inputs, making well-designed content systems a prerequisite for effective automation.

Das lernen Sie

If it’s structured, it can be automated. Learn how to design content pipelines that enable scalable, consistent, and AI-ready documentation workflows.

Vorkenntnisse

Basic familiarity with technical documentation workflows

Experience with authoring tools such as Markdown, XML, or similar

Interest in improving scalability and efficiency in content operations

Referent:in

Poonam Yadav

  • Keysight Technologies
Biografie

Poonam Yadav arbeitet dort, wo technische Komplexität auf Klarheit trifft. Mit 9 Jahren Berufserfahrung entwickelt sie Dokumentationssysteme für anspruchsvolle Engineering-Tools und konzentriert sich darauf, wie Wissen tatsächlich genutzt wird. Sie versteht Dokumentation als System, das Produktakzeptanz aktiv beeinflusst. Ihre Arbeit zeigt, wie KI verändert, wie technisches Verständnis in modernen Teams aufgebaut, geteilt und skaliert wird.

Poonam Yadav works where engineering complexity meets clarity. With 9 years of professional experience, she builds documentation systems for advanced engineering tools, focusing on how knowledge is used, not just written. She challenges traditional documentation by treating it as a system that shapes product adoption. Her work explores how AI is transforming how technical understanding is built, shared, and scaled in modern engineering teams.