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Predicting the Future of Data Science

Pickl AI

Summary: The future of Data Science is shaped by emerging trends such as advanced AI and Machine Learning, augmented analytics, and automated processes. As industries increasingly rely on data-driven insights, ethical considerations regarding data privacy and bias mitigation will become paramount.

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An open-source, low-code Python wrapper for easy usage of the Large Language Models such as…

Mlearning.ai

ML/AI Enthusiasts, and Learners Citizen Data Scientists who prefer a low code solution for quick testing. Experienced Data Scientists who want to try out different use-cases as per their business context for quick prototyping. I have worked on several key strategic & data-monetization initiatives in the past.

Python 52
professionals

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The Modern Data Stack Explained: What The Future Holds

Alation

Powered by cloud computing, more data professionals have access to the data, too. Data analysts have access to the data warehouse using BI tools like Tableau; data scientists have access to data science tools, such as Dataiku. Better Data Culture.

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Data scientist

Dataconomy

As the demand for data expertise continues to grow, understanding the multifaceted role of a data scientist becomes increasingly relevant. What is a data scientist? A data scientist integrates data science techniques with analytical rigor to derive insights that drive action.