In this episode of IoT Innovators, host Brandon Kooman discusses the strategic value of SAS Event Stream Processing (ESP) integrated with Python. Experts Rik de Ruiter and Tom Tuning share insights on how this integration enhances real-time analytics, facilitates collaboration between coders and non-coders, and leverages Python's extensive ecosystem. They also explore future innovations and the overall impact on data science and machine learning workflows.

Key Takeaways:

• Python's popularity allows users to leverage existing knowledge in ESP.
• Collaboration between coders and non-coders is enhanced with ESP and Python.
• Python's ecosystem includes powerful libraries like PyTorch and NumPy.
• Using Python in ESP bridges the gap between experimentation and production.
• ESP's low code environment simplifies analytics project development.
• Python integration allows for code reuse across projects.
• Future innovations will enhance the integration of Python models in ESP.

• The combination of ESP and Python accelerates streaming project development.

Link to video