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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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Now available in Tableau 2021.2—Ask Data and Explain Data for Viewers, Collections, a connected Tableau Desktop experience for web authoring, and more

Tableau

Associate Product Marketing Manager, Tableau. The newest release of Tableau is here! Tableau 2021.2 brings new and improved ways to interact with your data to ensure everyone across your organization can ask meaningful questions and get valuable answers from their data. In Tableau 2021.2, In Tableau 2021.2,

Tableau 102
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Now available in Tableau 2021.2—Ask Data and Explain Data for Viewers, Collections, a connected Tableau Desktop experience for web authoring, and more

Tableau

Associate Product Marketing Manager, Tableau. The newest release of Tableau is here! Tableau 2021.2 brings new and improved ways to interact with your data to ensure everyone across your organization can ask meaningful questions and get valuable answers from their data. In Tableau 2021.2, In Tableau 2021.2,

Tableau 52
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Expanding augmented analytics to help more people get answers from their data

Tableau

Chief Product Officer, Tableau. When it comes to asking questions of their data, how comfortable are most people in your organization? Even with a deep understanding of the business, if your users can’t find the right data or navigate dashboards to answer their questions, they aren’t likely to embrace analytics for making decisions.

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

Tableau

Chief Product Officer, Tableau. When it comes to asking questions of their data, how comfortable are most people in your organization? Even with a deep understanding of the business, if your users can’t find the right data or navigate dashboards to answer their questions, they aren’t likely to embrace analytics for making decisions.

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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.