Stream: AI
Time: 10:00 - 10:45
In the modern era of data-driven decision-making, leveraging the power of mainframe data, such as data in IMS db on z/OS, can provide deep insights into business operations. However, visualizing this data and utilizing advanced analytics can often seem challenging. This session will explore how Python libraries, along with machine learning tools, can bridge the gap by providing intuitive and powerful solutions to visualize and analyze data in IMS db on z/OS. We will begin by discussing the fundamentals of accessing IMS db on z/OS using Python library. Once data is ready we will explore popular python libraries to create clear and informative visualizations. The session will then dive into the integration of machine learning tools, to uncover hidden patterns in the data, perform predictive analytics, and gain deeper insights.
There is currently no attachment for Connect, Visualise, Predict: Visualizing data in IMS Db on z/OS using Python libraries and ML
Email: niraj_garudkar@bmc.com
Email: anshul_agrawal@bmc.com
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