1. AI Enhancements for Developers

• Open Model Integration: Pega 24 now supports importing gradient boosting models and ONNX-based AI models, which can be seamlessly integrated into applications. This provides flexibility to use pre-trained models or custom AI solutions, greatly enhancing the ability to build intelligent workflows.
• Python Library Integration: The new dedicated client for Python makes it easier to connect Pega applications with Python libraries, enabling complex data manipulations and predictive analytics without the need to leave the Pega ecosystem

2. Enhanced Developer Tools

• Unified Development Experience: Improved tools for building applications ensure fewer errors and more efficient debugging. The platform's guided low-code features help maintain the balance between agility and control.
• Integration-Friendly Updates: Simplified connections with third-party platforms like Snowflake and Google BigQuery streamline data operations. This is particularly helpful when working on data-intensive applications

3. Operational Observations

• Performance Optimization: Enhanced orchestration capabilities automate repetitive tasks. The platform’s refined cloud-native architecture provides better scalability, which is critical when deploying applications that need to handle unpredictable workloads.
• Cloud-Native Support: Updates to the architecture ensure improved reliability and dynamic scaling, making migrations and operations smoother for cloud-based implementations.

4. Team Collaboration Boost

• Real-Time Collaboration: With tools like real-time response suggestions in Digital Messaging, developers and other stakeholders can engage in productive collaboration, especially during sprint reviews or support operations