Tableau：2021年Tableau中的人工智能和机器学习研究报告（英文版）（19页）.pdf

1、Artificial Intelligence and Machine Learning in TableauPrepared by Joshua Gillmore and David SearsContentsVisually driven AI and ML.3AI throughout the analytics flow.4Explain Data.5Ask Data.7Analytics Pane models.9Predictive analytics in calculated fields.11Einstein Discovery integration.13Analytics

2、 integration.16Extensions.18Learn more.19About Tableau.19Visually driven AI and ML At the center of the Tableau experience is seeing and understanding data.Combining Tableau visual analytics with the power of Artificial Intelligence(AI)and Machine Learning(ML)keeps the human at the center of decisio

3、n-making while unlocking advanced analytics across the entire organization that is typically limited to highly technical teams within an organization.The platforms ease of use provides users at all levels of expertise the ability to tap into visually-driven,advanced AI and ML-based analytics to get

4、immediate time to value and uncover unanticipated insights.At the core of Tableaus approach to AI and ML are three themes:1.AI and ML naturally integrate into the users workflow to enhance their analysis while avoiding disrupting their thought process and flow.2.Full-featured AI and ML capabilities

5、are usable regardless of experience and expertise.3.AI and ML results are transparent,interpretable,and trusted.4Artificial Intelligence and Machine Learning in TableauAI throughout the analytics flow Tableau offers a complete,integrated analytics platform.AI and ML will enhance decisions throughout

6、 the analytics flow.Whether its handling missing data or understanding the why behind a data point,Tableau has integrated central AI and ML functions to assist human-decision making throughout the analytics flow:1.Explain Data Utilize intelligent AI modeling at the click of a button to quickly under