论坛站务软件水平考试华为认证计算机等级PMP认证思科认证Photoshop3DMAX编程语言移动开发系统运维产品运营淘宝营销办公软件Ps修图云计算大数据摄影就业

<section style="padding: 10px; border: currentColor; color: rgb(62, 62, 62); line-height: 25.6px; margin-top: 5px; white-space: normal; word-wrap: break-word !important; max-width: 100%; box-sizing: border-box !important; background-image: none; background-color: rgb(255, 255, 255);" donone="shifuMouseDownOther('shifu_o_007')" label="Copyright © 2014 playhudong All Rights Reserved."><section style="font-family: 微软雅黑; word-wrap: break-word !important; max-width: 100%; box-sizing: border-box !important;" class="article135" label="powered by 135editor.com"><section style="border: 0px currentColor; word-wrap: break-word !important; max-width: 100%; box-sizing: border-box;" class="135editor" data-custom="rgb(252, 180, 43)" data-color="rgb(252, 180, 43)" data-id="391"><section style="margin: 1.5em 1em 1em; border: 0px rgb(252, 180, 43); line-height: 25px; display: inline-block; word-wrap: break-word !important; max-width: 100%; box-sizing: border-box; border-image-source: none;"><section style="padding: 22px 16px 16px; border: 1px solid rgb(252, 180, 43); color: rgb(0, 0, 0); font-size: 14px; margin-top: -24px; word-wrap: break-word !important; max-width: 100%; box-sizing: border-box;" class="135brush" data-style="line-height:24px;color:rgb(89, 89, 89); font-size:14px"><p style="color: rgb(89, 89, 89); line-height: 24px; word-wrap: break-word !important; min-height: 1em; max-width: 100%; box-sizing: border-box !important;">从传统互联网的人机互联，人人互联，到工业互联网的物物互联，人机物三种端各自互联，才带来大数据的产生，利用云进行大数据的存储和计算，实现数据的融合和服务，数据从哪里来，到哪里去，数据如何关联，如何找到市场需求实现价值是关键。</p><p style="color: rgb(89, 89, 89); line-height: 24px; word-wrap: break-word !important; min-height: 1em; max-width: 100%; box-sizing: border-box !important;"><br style="word-wrap: break-word !important; max-width: 100%; box-sizing: border-box !important;"/></p><p style="color: rgb(89, 89, 89); line-height: 24px; word-wrap: break-word !important; min-height: 1em; max-width: 100%; box-sizing: border-box !important;">数据采集加工的跑马圈地已入中盘，数据分析与应用的商业模式才刚刚开盘，而这需要模式具备可持续性和可扩展性。</p><p style="color: rgb(89, 89, 89); line-height: 24px; word-wrap: break-word !important; min-height: 1em; max-width: 100%; box-sizing: border-box !important;"><br style="word-wrap: break-word !important; max-width: 100%; box-sizing: border-box !important;"/></p><p style="color: rgb(89, 89, 89); line-height: 24px; word-wrap: break-word !important; min-height: 1em; max-width: 100%; box-sizing: border-box !important;">如今时代变了，以前以企业为核心的理念转向以消费者、以用户为核心的理念，以前的设计在进行创意时以往主要靠拍脑袋决策，如今需要数据的支持和支撑来指导创意。</p><p style="color: rgb(89, 89, 89); line-height: 24px; word-wrap: break-word !important; min-height: 1em; max-width: 100%; box-sizing: border-box !important;"><br style="word-wrap: break-word !important; max-width: 100%; box-sizing: border-box !important;"/></p><p style="color: rgb(89, 89, 89); line-height: 24px; word-wrap: break-word !important; min-height: 1em; max-width: 100%; box-sizing: border-box !important;">基于大数据的创新创业面临的挑战，主要有四个方面：一是拿到可以利用的数据比较难，目前不少创业公司都是基于互联网上公开的数据在进行应用开发。</p><p style="color: rgb(89, 89, 89); line-height: 24px; word-wrap: break-word !important; min-height: 1em; max-width: 100%; box-sizing: border-box !important;"><br style="word-wrap: break-word !important; max-width: 100%; box-sizing: border-box !important;"/></p><p style="color: rgb(89, 89, 89); line-height: 24px; word-wrap: break-word !important; min-height: 1em; max-width: 100%; box-sizing: border-box !important;">二是大数据应用可能威胁到企业中传统的角色地位甚至生存，这就涉及到与传统利益的冲突，因此大数据应用推广需要一把手牵头推动。</p><p style="color: rgb(89, 89, 89); line-height: 24px; word-wrap: break-word !important; min-height: 1em; max-width: 100%; box-sizing: border-box !important;"><br style="word-wrap: break-word !important; max-width: 100%; box-sizing: border-box !important;"/></p><p style="color: rgb(89, 89, 89); line-height: 24px; word-wrap: break-word !important; min-height: 1em; max-width: 100%; box-sizing: border-box !important;">第三个瓶颈是人力资源，不管美国还是中国大数据人才非常紧缺，包括数据科学家和数据分析师，这些人才需要高校和企业一起合作来进行培养。</p><p style="color: rgb(89, 89, 89); line-height: 24px; word-wrap: break-word !important; min-height: 1em; max-width: 100%; box-sizing: border-box !important;"><br style="word-wrap: break-word !important; max-width: 100%; box-sizing: border-box !important;"/></p><p style="color: rgb(89, 89, 89); line-height: 24px; word-wrap: break-word !important; min-height: 1em; max-width: 100%; box-sizing: border-box !important;">第四关于投资的难度加大，需要有更多大数据商业应用成功的项目和例子来引领投资的方向。</p><p style="color: rgb(89, 89, 89); line-height: 24px; word-wrap: break-word !important; min-height: 1em; max-width: 100%; box-sizing: border-box !important;"><br style="word-wrap: break-word !important; max-width: 100%; box-sizing: border-box !important;"/></p></section></section></section></section></section><p style="color: rgb(62, 62, 62); line-height: 25.6px; white-space: pre-wrap; word-wrap: break-word !important; min-height: 1em; max-width: 100%; box-sizing: border-box !important; background-color: rgb(255, 255, 255);"><strong style="word-wrap: break-word !important; max-width: 100%; box-sizing: border-box !important;">大数据时代创新创业的三个方向和四大挑战</strong></p><p style="color: rgb(62, 62, 62); line-height: 25.6px; white-space: pre-wrap; word-wrap: break-word !important; min-height: 1em; max-width: 100%; box-sizing: border-box !important; background-color: rgb(255, 255, 255);"><strong style="word-wrap: break-word !important; max-width: 100%; box-sizing: border-box !important;"><br style="word-wrap: break-word !important; max-width: 100%; box-sizing: border-box !important;"/></strong></p><p style="color: rgb(62, 62, 62); line-height: 25.6px; white-space: pre-wrap; word-wrap: break-word !important; min-height: 1em; max-width: 100%; box-sizing: border-box !important; background-color: rgb(255, 255, 255);"><strong style="word-wrap: break-word !important; max-width: 100%; box-sizing: border-box !important;">——ADEC联手浙大、五叶草大数空间举办“大数据时代的创新创业实践与思考”研讨会</strong></p><p style="color: rgb(62, 62, 62); line-height: 25.6px; white-space: pre-wrap; word-wrap: break-word !important; min-height: 1em; max-width: 100%; box-sizing: border-box !important; background-color: rgb(255, 255, 255);"><br style="word-wrap: break-word !important; max-width: 100%; box-sizing: border-box !important;"/></p><p style="color: rgb(62, 62, 62); line-height: 25.6px; white-space: pre-wrap; word-wrap: break-word !important; min-height: 1em; max-width: 100%; box-sizing: border-box !important; background-color: rgb(255, 255, 255);">在大众创新、万众创业的热潮中，基于大数据的创业创新备受关注。12月17日，阿里数据经济研究中心(ADEC)、浙江大学管理学院、五叶草大数空间三者携手合作，邀请20余位浙大学者走入云栖小镇，在杭州这个创新创业的基地，聆听大数据创业创新实践者的感受，共同开展“大数据时代创业创新的实践和思考”的相关话题研讨。</p><p><img src="/Public/forum/ueditor/image/20151226/1451102146148420.png" title="1451102146148420.png" alt="blob.png"/></p><p style="color: rgb(62, 62, 62); line-height: 25.6px; white-space: pre-wrap; word-wrap: break-word !important; min-height: 1em; max-width: 100%; box-sizing: border-box !important; background-color: rgb(255, 255, 255);">三家大数据创新创业领域的企业数能科技、华院数据和洛可可公司的负责人给大家分享了他们的实践方向、面临挑战以及心得体会。在分享结束后，就大家关注的话题分组讨论的环节受到参会企业以及研究者们的欢迎。</p><p style="color: rgb(62, 62, 62); line-height: 25.6px; white-space: pre-wrap; word-wrap: break-word !important; min-height: 1em; max-width: 100%; box-sizing: border-box !important; background-color: rgb(255, 255, 255);"><br style="word-wrap: break-word !important; max-width: 100%; box-sizing: border-box !important;"/></p><blockquote style="color: rgb(62, 62, 62); line-height: 25.6px; white-space: normal; word-wrap: break-word !important; max-width: 100%; box-sizing: border-box !important; background-color: rgb(255, 255, 255);"><p style="white-space: pre-wrap; word-wrap: break-word !important; min-height: 1em; max-width: 100%; box-sizing: border-box !important;"><strong style="word-wrap: break-word !important; max-width: 100%; box-sizing: border-box !important;">三个方向和四大挑战</strong></p></blockquote><p style="color: rgb(62, 62, 62); line-height: 25.6px; white-space: pre-wrap; word-wrap: break-word !important; min-height: 1em; max-width: 100%; box-sizing: border-box !important; background-color: rgb(255, 255, 255);"><br style="word-wrap: break-word !important; max-width: 100%; box-sizing: border-box !important;"/></p><p style="color: rgb(62, 62, 62); line-height: 25.6px; white-space: pre-wrap; word-wrap: break-word !important; min-height: 1em; max-width: 100%; box-sizing: border-box !important; background-color: rgb(255, 255, 255);">浙江大学管理学院教授刘渊老师在分享中提到，<span style="color: rgb(0, 0, 0); word-wrap: break-word !important; max-width: 100%; box-sizing: border-box !important;">从传统互联网的人机互联，人人互联，到工业互联网的物物互联，人机物三种端各自互联，才带来大数据的产生</span>，利用云进行大数据的存储和计算，实现数据的融合和服务，数据从哪里来，到哪里去，数据如何关联，如何找到市场需求实现价值是关键。</p><p><img src="/Public/forum/ueditor/image/20151226/1451102163521934.png" title="1451102163521934.png" alt="blob.png"/></p><p style="text-align: center; color: rgb(62, 62, 62); line-height: 25.6px; white-space: pre-wrap; word-wrap: break-word !important; min-height: 1em; max-width: 100%; box-sizing: border-box !important; background-color: rgb(255, 255, 255);"><span style="font-size: 14px; word-wrap: break-word !important; max-width: 100%; box-sizing: border-box !important;">图为浙江大学管理学院教授刘渊</span></p><p style="color: rgb(62, 62, 62); line-height: 25.6px; white-space: pre-wrap; word-wrap: break-word !important; min-height: 1em; max-width: 100%; box-sizing: border-box !important; background-color: rgb(255, 255, 255);"><br style="word-wrap: break-word !important; max-width: 100%; box-sizing: border-box !important;"/></p><p style="color: rgb(62, 62, 62); line-height: 25.6px; white-space: pre-wrap; word-wrap: break-word !important; min-height: 1em; max-width: 100%; box-sizing: border-box !important; background-color: rgb(255, 255, 255);"><span style="word-wrap: break-word !important; max-width: 100%; box-sizing: border-box !important;">以浙江大学郭斌老师为组长的小组认为大数据创新创业的商业模式有三个方向(Analytics , Data, Services ,ADS)值得关注</span>,其中A相当于为企业提供数据的计算分析能力；第二类D是提供数据为主，要做有效的决策背后所使用的数据可能来源于多个数据源，可以集聚数据成为运营的资源；第三类S相当于提供基于数据的服务，这种服务要嵌入到企业运营的业务流程。</p><p style="color: rgb(62, 62, 62); line-height: 25.6px; white-space: pre-wrap; word-wrap: break-word !important; min-height: 1em; max-width: 100%; box-sizing: border-box !important; background-color: rgb(255, 255, 255);"><br style="word-wrap: break-word !important; max-width: 100%; box-sizing: border-box !important;"/></p><p style="color: rgb(62, 62, 62); line-height: 25.6px; white-space: pre-wrap; word-wrap: break-word !important; min-height: 1em; max-width: 100%; box-sizing: border-box !important; background-color: rgb(255, 255, 255);">以郑刚老师为代表的小组总结了基于大数据的创新创业面临的挑战，主要有以下四个方面：<span style="color: rgb(0, 0, 0); word-wrap: break-word !important; max-width: 100%; box-sizing: border-box !important;">一是拿到可以利用的数据比较难，目前不少创业公司都是基于互联网上公开的数据在进行应用开发，二是大数据应用可能威胁到企业中传统的角色地位甚至生存，这就涉及到与传统利益的冲突，因此大数据应用推广需要一把手牵头推动；第三个瓶颈是人力资源，不管美国还是中国大数据人才非常紧缺，包括数据科学家和数据分析师，这些人才需要高校和企业一起合作来进行培养；第四关于投资的难度加大，需要有更多大数据商业应用成功的项目和例子来引领投资的方向。</span></p><p style="color: rgb(62, 62, 62); line-height: 25.6px; white-space: pre-wrap; word-wrap: break-word !important; min-height: 1em; max-width: 100%; box-sizing: border-box !important; background-color: rgb(255, 255, 255);"><span style="color: rgb(255, 76, 65); word-wrap: break-word !important; max-width: 100%; box-sizing: border-box !important;"><br style="word-wrap: break-word !important; max-width: 100%; box-sizing: border-box !important;"/></span></p><p><br/></p>

论坛站务软件水平考试华为认证计算机等级PMP认证思科认证Photoshop3DMAX编程语言移动开发系统运维产品运营淘宝营销办公软件Ps修图云计算大数据摄影就业