
Tech Talk
Here we gather content that is related to tech within product information and learning.
Aiming to lift the burden from the users
From product chaos to clarity – the importance of correct information
Our information architects Johan Elisson and Tobias Linder give us a sneak peek into product configurations in technical information: An area that has been tricky until now and is playing an increasingly important role.

Our main takeaways from BOTI 2025
From scattered AI tools to a smooth workflow
Our AI expert Elzbieta Wiltenburg shares the main takeaways from her presentation at the 2025 BOTI conference, emphasising the need for linking separate AI tools into a unified platform.

The new standard for doing business
An introduction to Digital Product Passports
Digital Product Passports are becoming the new standard for doing business in Europe. You need to comply according to law, but DPPs are also a way to show leadership in sustainability and traceability.

Interview with CTO Simon Vaarning and CSO Erik Baljeu
How Aleido is fundamentally transforming the industry
The amount of product information is growing rapidly as advanced systems and products are developed for a global market.

We went to AI the Docs
Five takeaways from AI the Docs
Our AI expert and Information Architect shares five takeaways from an AI conference she attended in June 2025.

Creating business value with AI: From idea to implementation
In our AI webinar series, we’ll share key steps, best practices, and what we’ve learned so far when working with AI solutions
Creating business value with AI: From idea to implementation
Making AI work responsibly in technical communication - Part 1
Responsible AI in technical communication
AI isn’t just for sci-fi or Silicon Valley. It’s already shaping how we create and deliver technical documentation. Whether it’s supporting writers with draft suggestions or helping technicians troubleshoot on-site, AI has become a real player in the world of product information.

Making AI work responsibly in technical communication - Part 2
Turning responsible AI into practice
Even as AI tools become more powerful, it’s the partnership between humans and machines that makes AI practical, safe, and effective. This collaboration is particularly crucial for enabling two of the Principles of Responsible AI: robustness and explainability.


