Big Data Analysis, AI, and Visualization Workshop: Road Mapping Infrastructures for Artificial Intelligence Supporting Advanced Visual Big Data Analysis
{"title":"Big Data Analysis, AI, and Visualization Workshop: Road Mapping Infrastructures for Artificial Intelligence Supporting Advanced Visual Big Data Analysis","authors":"Thoralf Reis, M. X. Bornschlegl, M. Hemmje","doi":"10.1145/3399715.3400860","DOIUrl":null,"url":null,"abstract":"The overall scope and goal of the workshop is to bring together researchers active in the areas of Artificial Intelligence (AI), Big Data Analysis, and Visualization to achieve a road map, which can support the acceleration in research and data science activities by means of transforming, enriching, and deploying AI models and algorithms as well as intelligent advanced visual user interfaces supporting creation, configuration, management, and usage of distributed Big Data Analysis. Big Data Analysis and AI mutually support each other: AI-powered algorithms empower data scientists to analyze Big Data and thereby exploit its full potential whereas Big Data enables AI experts to comfortably design, validate, and deploy AI models. One of the workshop's objectives is the examination of the importance and necessity of a third, a more straightforward relationship of Big Data and AI: AI supporting all user stereotypes and organizations involved in Big Data Analysis on their exploration journey from raw input data to insight and effectuation.","PeriodicalId":149902,"journal":{"name":"Proceedings of the International Conference on Advanced Visual Interfaces","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2020-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the International Conference on Advanced Visual Interfaces","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3399715.3400860","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
The overall scope and goal of the workshop is to bring together researchers active in the areas of Artificial Intelligence (AI), Big Data Analysis, and Visualization to achieve a road map, which can support the acceleration in research and data science activities by means of transforming, enriching, and deploying AI models and algorithms as well as intelligent advanced visual user interfaces supporting creation, configuration, management, and usage of distributed Big Data Analysis. Big Data Analysis and AI mutually support each other: AI-powered algorithms empower data scientists to analyze Big Data and thereby exploit its full potential whereas Big Data enables AI experts to comfortably design, validate, and deploy AI models. One of the workshop's objectives is the examination of the importance and necessity of a third, a more straightforward relationship of Big Data and AI: AI supporting all user stereotypes and organizations involved in Big Data Analysis on their exploration journey from raw input data to insight and effectuation.