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Cloud and big data acceleration platform for innovation in environmental industry

机译:环境工业创新的云和大数据加速平台

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Innovation in the environmental industry requires more than just creation of technology and use of cloud computing or big data platforms. It requires accelerated commercialization or aptly called go-to-market processes. To successfully accelerate, companies need a new type of product development, the so called validated learning process. Validated learning process systematically searches the fit between technology and market, by validating the mechanics of a business model. Acceleration consists in rapidly iterating between experiments, data collection, and informed decision making. However, every company needs to apply its own version of the validated learning process, focused on its context and industry. In this paper we describe a cloud platform that bring together several services and instruments that the companies usually rely on in their go-to-market process. The main contribution of this paper consists in analyzing the integration of big data sources in a cloud platform for accelerating the building, management and promotion of innovation in industry.
机译:环境行业的创新需要不仅仅是创建技术和使用云计算或大数据平台。它需要加速商业化或恰当地称为上市进程。为了成功加速,公司需要一种新型的产品开发,所谓的验证学习过程。通过验证商业模式的机制来系统地搜索技术和市场之间的适合。加速包括在实验,数据收集和知情决策之间快速迭代。但是,每个公司都需要应用自己版本的验证的学习过程,专注于其背景和行业。在本文中,我们描述了一个云平台,将公司通常依赖于其上市过程的多种服务和仪器。本文的主要贡献在于分析大数据源的集成在一个云平台,为加快创新的建设,管理和推广的产业。

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