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Self-Service BI vs Traditional BI: What’s Next?

Alation

Traditional BI approaches and technologies — even when using the latest technology, best practices, and architectures — almost always have a serious side effect: a constant backlog of BI requests. First, data and analytics teams never were comfortable ceding control up to business teams. The Emergence of Self-Service BI.

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The Modern Data Stack Explained: What The Future Holds

Alation

This shift addresses a growing demand for data access, which the modern data stack enables with cloud-based services and integration. There has also been a paradigm shift toward agile analytics and flexible options, where data assets can be moved around more quickly and easily, and not locked into a single vendor.

professionals

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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
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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.