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Challenges in Hybrid Cloud for AI, Python vs. R Language Speed Comparison
This chapter delves into the complexities and problems encountered in AI and analytics within hybrid cloud settings, such as data silos, toolset discrepancies, and effective resource allocation. The discussion also touches on the speed disparities between Python and R languages, recounting a notable incident emphasizing Python's pace and the guest's pledge to enhance its speed, alongside a comparison acknowledging the superior speed of languages like Julia over Python.