{"id":549,"date":"2012-03-24T10:34:57","date_gmt":"2012-03-24T02:34:57","guid":{"rendered":"http:\/\/www.hkkms.hk\/?p=549"},"modified":"2012-05-13T11:05:12","modified_gmt":"2012-05-13T03:05:12","slug":"big-data","status":"publish","type":"post","link":"http:\/\/www.hkkms.hk\/index.php\/2012\/03\/big-data\/","title":{"rendered":"\u201dBig Data\u201d \u2013 help or hindrance to Knowledge management?"},"content":{"rendered":"<p>Our ability to sense, analyse, process, create and store digital information is leading to a huge increase in stored data. \u00a0This is a problem for many enterprises who see the benefits of tapping into this cornucopia of digital wealth to improve decision support. But how to make this data accessible and meaningful is a considerable challenge.<\/p>\n<p>Joining us at our monthly event on Tuesday 3 April will be representatives of the specialist software companies that are working on the problem of \u2018Big Data\u2019 .<\/p>\n<p>The event will held in our usual location, \u00a0Conference Room 1, 22\/F, United Centre, 95 Queensway (Admiralty MTR Station).<\/p>\n<p><strong>Time<\/strong>: Tuesday 3rd April 2012 (6.30pm \u2013 8.00 pm)<br \/>\n<strong>Venue<\/strong>:\u00a0 Conference Room 1, 22\/F, United Centre 95 Queensway (Admiralty MTR Station)<\/p>\n<p>The event is free for HKKMS members \u00a0and $200 for non-members.<\/p>\n<p>Registration for the event has closed.<\/p>\n<p>More details can be found below<\/p>\n<p><!--more-->Big data is big news and a big problem.<\/p>\n<p>The numbers are staggering. To quote McKinsey:<\/p>\n<ul>\n<li>30 billion pieces of content are shared every month on Facebook<\/li>\n<li>40% projected growth in volume of data generated per year<\/li>\n<\/ul>\n<p>Big data comprises huge datasets that cannot be managed effectively with traditional methods and tools. As well as large quantities of numerical data it includes vast amounts of unstructured data such as documents, emails, and social media messages that threaten to swamp KM and IT systems and processes. Before it can be managed and turned into valuable information and knowledge it has to be analysed and indexed and this needs new skills, tools and processes.<\/p>\n<p>Speakers from Pingar, specialists in the analysis of unstructured data, will explain what big data is, how it can be managed and the value (and knowledge) that can be extracted from it.<\/p>\n<p><strong>Speaker notes:<\/strong><br \/>\n<strong>Mark Lunt<\/strong> \u2013 MD of Pingar Hong Kong, has over 25 years experience in the IT sector in Europe, Australia and New Zealand and Asia.<\/p>\n<p><strong>Ryan Sin<\/strong> \u2013 Senior Technical Consultant, has many years experience in text and data mining, search and content aggregation and has worked in Hong Kong, Japan and China.<\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Our ability to sense, analyse, process, create and store digital information is leading to a huge increase in stored data. \u00a0This is a problem for many enterprises who see the benefits of tapping into this cornucopia of digital wealth to improve decision support. But how to make this data accessible and meaningful is a considerable <a href='http:\/\/www.hkkms.hk\/index.php\/2012\/03\/big-data\/' class='excerpt-more'>[&#8230;]<\/a><\/p>\n","protected":false},"author":14,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3],"tags":[42,43],"class_list":["post-549","post","type-post","status-publish","format-standard","hentry","category-meetings","tag-information-overload","tag-unstructured-data","category-3-id","post-seq-1","post-parity-odd","meta-position-corners","fix"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>\u201dBig Data\u201d \u2013 help or hindrance to Knowledge management?<\/title>\n<meta name=\"description\" content=\"How to make the huge increase in stored data, accessible and meaningful is a considerable challenge for Knowledge management 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