Enhancing Technical Writing with Neural Networks: Applications and Benefits

Fachvortrag
Künstliche Intelligenz (KI) in der Technischen Kommunikation

14. November
10:00 - 10:45 AM (MEZ)
C6.2

beendet
Keine Folien hochgeladen

Suraj P S
- Siemens
Vikram NarayanaMurthy
- Siemens

Inhalt

Unleashing the power of neural networks in technical writing opens up new horizons. From automated content generation to language correction, simplifying complex concepts, automating information extraction, and enhancing search and retrieval, explore how neural networks revolutionize the field. Embrace the potential of these tools to streamline and elevate technical writing to unprecedented levels of efficiency and effectiveness.

Das lernen Sie

Harnessing neural networks in technical writing revolutionizes processes, improves accuracy, and enhances accessibility for both experts and non-experts, empowering efficient creation and comprehension of technical content.

Referent:innen

Suraj P S

Siemens

Zum Profil

Biografie

An experienced Technical Writer with a strong background in the field of documentation of Industrial Automation, Software, Hardware and Network domains. My expertise includes information design, graphic designs and project management. I have worked with different software such as Atlassian Confluence, Arbortext Editor, DITA, Adobe FrameMaker and Microsoft Suite. Among others, I am familiar working with Agile, V model, and Waterfall software models have a good understanding of various technologies and trends happening in the field of Information services with respect to Industry V4.0

Vikram NarayanaMurthy

Siemens

Zum Profil

Biografie

A program manager managing documentation teams across multiple locations. With around 15 years of experience in Technical Writing, my main aim is to see how I can make the documentation effective to the user and user friendly. With Industry V5.0, the documentation also needs to evolve. So, me and my team are focused on implementing various innovative techniques in the documentation that reduces customer’s effort, time and difficulty in finding the information.

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