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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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Self-service predictive business insights with Amazon SageMaker for Tableau

Tableau

Product Manager, Tableau . Holt Calder, Data Architect, InterWorks. Dylan Tong, Global Segment Lead Architect, AI Augmented Analytics, AWS. We want to help our Tableau and AWS customers democratize data science so that more people can benefit from the power of AI-driven analytics. May 27, 2021.

Tableau 102
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How Databricks and Tableau customers are fueling innovation with data lakehouse architecture

Tableau

EMEA Field CTO, Tableau. In many of the conversations we have with IT and business leaders, there is a sense of frustration about the speed of time-to-value for big data and data science projects. The division between data lakes and data warehouses is stifling innovation. Francois Zimmermann. Brian Dirking.

Tableau 102
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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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Self-service predictive business insights with Amazon SageMaker for Tableau

Tableau

Product Manager, Tableau . Holt Calder, Data Architect, InterWorks. Dylan Tong, Global Segment Lead Architect, AI Augmented Analytics, AWS. We want to help our Tableau and AWS customers democratize data science so that more people can benefit from the power of AI-driven analytics. May 27, 2021.

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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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Three ways to help everyone make fast, data-driven decisions with modern BI

Tableau

Vice President, Product, Tableau. This is the second post in a three-part series about transformational modern analytics. In case you missed it, read the first post to learn how governance and data management enable your digital business. Bring advanced analytics capabilities to more problem-solvers with AI. Loreal Lynch.

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