Stefan Menschner, Alexander Weißhaupt
Breaking Silos: Successful Collaboration Between Tech & Business Teams in Complex Enterprise Systems
#1about 4 minutes
Operating at scale in the German financial sector
Finanz Informatik serves over 50 million customers and handles 205 billion transactions annually, creating a complex development environment.
#2about 6 minutes
Using AI to improve the entire development process
AI can enhance productivity not just in coding, but by optimizing surrounding tasks like log analysis and acting as a translator between siloed teams.
#3about 5 minutes
Shifting from rigid process thinking to impact thinking
Overcoming the classic tech-business divide requires teams to move beyond describing their process step and focus on their actual contribution to the final outcome.
#4about 2 minutes
Developing essential AI and human skills for modern teams
Future-proof teams require a blend of technical AI skills like data literacy, AI collaboration skills like prompt engineering, and critical human skills like creativity.
#5about 2 minutes
A practical example of an AI collaboration assistant
An AI assistant can bridge knowledge gaps by summarizing complex business specifications for developers, highlighting integration points and improving team alignment.
#6about 5 minutes
Implementing agile practices within waterfall structures
Even within rigid waterfall processes, teams can find opportunities to introduce agile elements and experiment with cross-team collaboration to improve efficiency.
#7about 3 minutes
Key takeaways for driving lasting cultural change
Successful transformation requires a long-term cultural shift built on shared goals, end-to-end responsibility, communication, and psychological safety for teams.
Related jobs
Jobs that call for the skills explored in this talk.
Featured Partners
Related Videos
The End of Software as we know it
Paul Adams
Next Level Enterprise Architecture: Modular, Flexible, Scalable, Multichannel and AI-Ready?
Maik Wietheger, Jan-Christoph Schlieker
The AI Skills Gap: What Tech Leaders Must Get Right
Thomas Wollmann, Gerrit Einhoff, Kara Sprague, Alexandra Wudel
AI in Action: Real Use Cases with Real Impact - Hanna Hennig, Michael Ameling, Tobias Regenfuss
Hanna Hennig, Michael Ameling, Tobias Regenfuss and Mike Butcher
AI in Leadership: How Technology is Reshaping Executive Roles
Jeff Hausmann, Jasmin Kaiser, Bernd Datler, Sonja Alvarez
Leading efficiency, empathy, and the human experience with AI
Ming Wu, Alexander Birke, Benjamin Perlzweig, Emmanuel Viale
AI-Augmented DevOps with Platform Engineering
Romano Roth
The AI-Ready Stack: Rethinking the Engineering Org of the Future
Jan Oberhauser, Mirko Novakovic, Alex Laubscher, Keno Dreßel
From learning to earning
Jobs that call for the skills explored in this talk.


Senior Backend Engineer – AI Integration (m/w/x)
chatlyn GmbH
Vienna, Austria
Senior
JavaScript
AI-assisted coding tools


DevOps Engineer – Kubernetes & Cloud (m/w/d)
epostbox epb GmbH
Berlin, Germany
Intermediate
Senior
DevOps
Kubernetes
Cloud (AWS/Google/Azure)


Softwareentwickler Java, Python oder Ruby (w|m|d)
zeb consulting
Frankfurt am Main, Germany
Junior
Intermediate
HTML
React
JavaScript
Enterprise Architect (m/w/d) für AI-enabled Development
Siemens AG
Vienna, Austria
Chief Product Owner - AI DevOps 80-100%, Schweiz
Siemens AG
Senior
DevOps
Data analysis
Agile Methodologies
Continuous Integration
Enterprise AI Architect Enterprise AI Architect
Salesforce.com Germany GmbH
Jena, Germany
Remote
Salesforce
Microsoft Office
Product Owner (m/w/d) AI-gestütztes FinOps
Serviceware SE
München, Germany





