Creating Fearless Teams: The Power of Psychological Safety

Track 1

This talk introduces AndroidEnv, a Python library that turns Android devices into RL environments. It explores how to design reward systems in model-free RL, using algorithms like DQN and Q-learning to demonstrate how rewards shape an agent’s learning and goal achievement.
Explore the exciting world of GitHub Copilot Extensions! Learn how these tools enhance productivity by integrating custom services within Copilot Chat. We’ll build a custom extension together to answer questions in GitHub.com and Visual Studio Code – offering a hands-on experience to supercharge your workflows with AI-driven assistance.
Web components enable reusable UI components based on web standards, independent of frameworks. Using them in React was tricky, but React 19 now fully supports web components, simplifying library development. This talk covers past React limitations, workarounds, and how the new version resolves these challenges.
As Flutter apps grow, modular architecture is key for managing complexity. This talk explores when to adopt it, how to organize code into feature, layer, and core modules, and best practices for module communication, state management, and testing.
This talk presents an automated solution using machine learning and knowledge graphs to streamline CO2 footprint analysis and sustainable building certification. We’ll explore how these technologies address unstructured data challenges, enabling efficient, scalable climate action plans and certifications for buildings and urban districts.
Creating a fear-free workplace is vital for innovation and productivity. Teams thrive when they feel safe to take risks and share ideas. This session explores psychological safety, showcasing Parship Group’s practices, real-world examples, and strategies to build open, trusting environments for success.
Explore how the “Don’t Repeat Yourself” (DRY) principle can lead to rigid, complex code in frontend development. Learn to balance abstraction trade-offs and discover why composition often results in cleaner, more flexible solutions across frameworks.
Generative AI is transforming industries but often acts as a “black box.” How can we trust and deploy such technology responsibly? This talk explores Explainable and Responsible AI (XAI/RAI), covering their importance, cutting-edge methods, and real-world adoption to ensure transparency and accountability.