Should Banks Go Serverless? Pros, Cons, and Real Examples

A straightforward look at how serverless technology can change banking, its benefits, challenges, and a case study.

"Gather your party before venturing forth" - collaborative problem exploration.

Effective strategies for team alignment and productivity.

Startup Boost 2024

Our initiative Startup Boost is now officially up and running.

Maximising Team Potential: Data-Driven Strategies for Collaboration and Productivity

3 Data-Driven Insights Boosting Team Efficiency by 50%

Navigating the AI Revolution in Software Engineering: A Collaborative Insight

A collective perspective from a panel discussion with Matej Hočevar, Luka Prebil Grintal, Domen Gabrovšek, Erik Drobne, and Biserka Cvetkovska

Shifting from a Fixed to a Growth Mindset

Transform Your Approach to Challenges

Redefining User Experience: A Journey Through UX Design, Psychology, and Ethical Innovation

Good UX design isn't just about creating an aesthetically pleasing interface; it's about crafting experiences that seamlessly bridge the gap between user needs and technological capabilities.

Harnessing Data: Data-driven product development

Tips for modern product teams

Small things, big impact: Shaping your unique digital journey

Leveraging Contionous Improvement and Innovation for Digital Evolution

Fast Company talks about tretton37's natural mentorship approach

3 easy ways to elevate your company’s floundering mentorship program

How to Effectively Control IoT Devices: Managing the Future of Connectivity

Navigate the IoT Wave: Smart Strategies for Device Management

Cloud Banking in the Financial Industry

Unlocking Cloud Banking: Advantages, Challenges, and Future Trends in Finance

Machine learning: A "symphony" of patterns and probabilities

How do large language models work?

Inc. Magazine writes about tretton37's approach to Digital Evolution

From Transformation to Evolution: Embracing Digital Change for Long-Term Success

Machine Learning in Finance: A New Era of Opportunities

Machine Learning (ML) is more than just tech industry jargon. It represents the transformative force technology has to reshape entire industries, and the financial sector is no exception.