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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:行业的视角

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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受到完美风暴的影响 - 结构化和非结构化信息的指数增长,社交网络到我们开车的汽车的令人震惊的数字来源以及对快速决策的期望和需求的上升和需求。矛盾的是,随着信息的增长,智能地利用它的能力正在减少。我们难以在实际发现在系统限制内在上下文中驾驶决定所需的相关信息的相关信息进一步复杂化。本文演示文稿将探讨数字信息管理空间中的挑战,具体侧重于分析,确保和利用信息,需要促进生态系统,存在的挑战/差距以及哭泣的进展在未来十年中制造。本文将阐述从数据的基本信息提取开始的复杂性的频谱,然后讨论综合,标准化和协调噪声数据的方法,以获得整体视图。然后,本文将详细阐述发现信息的方法,并触及该空间中的行业挑战。结论将突出获得洞察力和智能的新兴趋势,能够模拟和预测竞争行为。

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