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Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.
Since 2022, she has been driving digital transformation, designing cloud architectures, and developing cutting-edge dataplatforms incorporating IoT, real-time analytics, machine learning, and generative AI. A published author on AI and large language models, she shares her expertise through insightful articles and technical writing.
Automation You want the ML models to keep running in a healthy state without the data scientists incurring much overhead in moving them across the different lifecycle phases. It would make sure that all development and deployment workflows use good softwareengineering practices. My Story DevOps Engineers Who they are?
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