Python Tools of IBM Db2 for Implementing AI Systems

Shaikh Quader, IBM

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With each passing year, Python’s dominance as the top AI language becomes more pronounced. ML practitioners encounter a range of challenges when implementing an AI system in Python that uses data from a RDBMS. These challenges include data access and protection, model deployment, and model integration with business processes. IBM Db2 offers a range of Python tools, including Python drivers, a Jupyter notebook extension, Python wrappers for in-database machine learning procedures, and Python user-defined functions (UDFs). This talk will delve into the seamless integration of Db2’s Python tools in your next AI project, leading to a reduction in time to value.