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Emerging challenges in information management: A perpective from the industry

机译:信息管理中的新兴挑战:行业观点

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The digital ecosystem and information management are being hit by the perfect storm — the exponential growth of both structured and unstructured information, the astoundingly varied digital sources from social networks to the cars we drive, and the rising expectation and need for speedy decision making. Paradoxically, as the information grows, the ability to harness it intelligently is diminishing. It is further compounded by our difficulty in actually discovering the relevant piece of information needed to drive the decision in the context within the systemic constraints. The paper presentation will explore the challenges in the digital information management space with specific focus on analyzing, securing and harnessing the information, what needs to be done to foster the ecosystem, the challenges/gaps that exist, and the progress that is crying to be made in the coming decade. The paper will expound on the spectrum of complexities starting from the fundamental information extraction from data, and then discuss the approaches for synthesizing, standardizing and harmonizing noisy data to derive a holistic view. The paper will then elaborate ways of discovering information, and touch upon industry challenges in the space. The conclusion will highlight the emerging trends of gaining insights and intelligence, and being able to model and predict competitive behavior.
机译:数字生态系统和信息管理正受到完美风暴的打击-结构化和非结构化信息的指数增长,从社交网络到我们驾驶的汽车的数字来源惊人地变化,以及对快速决策的期望和需求不断提高。矛盾的是,随着信息的增长,智能地利用它的能力正在下降。由于我们难以真正发现在系统性约束下根据情境做出决定所需的相关信息,这使情况更加复杂。论文介绍将探讨数字信息管理领域的挑战,特别着重于分析,保护和利用信息,促进生态系统需要做什么,存在的挑战/差距以及迫在眉睫的进步在未来十年内取得。本文将从数据的基本信息提取入手,阐述复杂性的范围,然后讨论合成,标准化和协调噪声数据以得出整体观点的方法。然后,本文将阐述发现信息的方式,并探讨该领域中的行业挑战。结论将突出显示获得洞察力和情报以及能够建模和预测竞争行为的新兴趋势。

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