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Augmented analytics

Dataconomy

Augmented analytics is revolutionizing how organizations interact with their data. By harnessing the power of machine learning (ML) and natural language processing (NLP), businesses can streamline their data analysis processes and make more informed decisions. What is augmented analytics?

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Expanding augmented analytics to help more people get answers from their data

Tableau

Earlier this year we shared the development of Tableau Business Science that brought the power of data science and AI to business people. Now, we're extending AI to every employee with reimagined augmented analytics capabilities, empowering more people to go from curious to confident—even if they don’t know where to start.

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Expanding augmented analytics to help more people get answers from their data

Tableau

Earlier this year we shared the development of Tableau Business Science that brought the power of data science and AI to business people. Now, we're extending AI to every employee with reimagined augmented analytics capabilities, empowering more people to go from curious to confident—even if they don’t know where to start.

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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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Top Data Analytics Trends Shaping 2025

Pickl AI

This democratisation of data access empowers cross-functional teams to collaborate effectively on analytics initiatives. Feature Stores for AI/ML Feature stores play a vital role in operationalising Machine Learning (ML). They centralise and standardise the creation, storage, and reuse of featureskey inputs for ML models.