Big Data Analysis, AI, and Visualization Workshop: Road Mapping Infrastructures for Artificial Intelligence Supporting Advanced Visual Big Data Analysis

Thoralf Reis, M. X. Bornschlegl, M. Hemmje
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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.
大数据分析、人工智能和可视化研讨会:支持高级可视化大数据分析的人工智能道路测绘基础设施
研讨会的总体范围和目标是汇集活跃在人工智能(AI)、大数据分析和可视化领域的研究人员,制定路线图,通过转换、丰富和部署AI模型和算法,以及支持分布式大数据分析的创建、配置、管理和使用的智能高级可视化用户界面,支持研究和数据科学活动的加速。大数据分析和人工智能相互支持:人工智能算法使数据科学家能够分析大数据,从而充分利用其潜力,而大数据使人工智能专家能够轻松地设计、验证和部署人工智能模型。研讨会的目标之一是考察大数据和人工智能之间更直接的关系的重要性和必要性:人工智能支持所有参与大数据分析的用户和组织从原始输入数据到洞察力和效果的探索之旅。
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