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Navigating Data Science Budgets and Deployment Challenges
This chapter examines the pandemic's impact on data science budgets, revealing varied investment levels among organizations and their implications for digital engagement. It discusses the hurdles data scientists face in model deployment, including IT security, language complexities, and recoding challenges. The analysis further highlights the contrast between programming languages and the growing importance of innovation in fostering data-driven strategies amid economic pressures.
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