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                    <h1 class="content-header-heading">Big Data – from Science and Medicine to Business Innovation</h1>
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<p style="padding: 1.5em; text-align: center; background-color: #ffc266; font-weight: bold">
    Please note, this page has been archived and is no longer being updated.
</p>
    <p class="news-item-summary">This event is organised by the Welsh Node of the Cisco National Virtual Incubator (NVI Wales) – part of a ground breaking UK wide virtual network – based at ehi2, College of Medicine, Swansea University.</p>

    <div class="news-item-content">
        <hr />
<p><strong>Date:</strong> Thursday 23<sup>rd</sup> October 2014</p>
<p><strong>Time:</strong> 12.30pm &ndash; 3.00pm</p>
<p><strong>Venue:</strong> ILS 2, Swansea University</p>
<p><strong>Cost:</strong> free to attend (buffet lunch provided)</p>
<p><strong>Book:</strong> <a href="http://www.eventbrite.co.uk/e/big-data-from-science-and-medicine-to-business-innovation-nvi-network-event-tickets-13279171359" target="_blank"><strong><span style="text-decoration: underline;">Click this link to book your free seat at the event.</span></strong></a></p>
<hr />
<p><strong><em>This NVI Network event will bring together key note speakers from across the UK &ndash; to explore how Big Data is offering key insights and emerging trends in data, which can be used for medical and business innovation.</em></strong></p>
<p>Data collection and exploitation is a growing phenomenon.&nbsp; Every single minute, the world generates 1.7 million billion bytes of data, over 6 megabytes of data for each person every day. As a result, the data sector is growing by 40% per year, 7 times quicker than the overall information and communications market, and big data is already helping us speed up diagnosis of brain injuries, avoid traffic congestion, forecast crop yields in developing countries to name a few examples.&nbsp;</p>
<p>It is estimated that global big data technology and services will grow to USD 16.9 billion in 2015 and data will create hundreds of thousands of new jobs in Europe. Businesses that build their decision-making processes on knowledge generated from data see a 5‑6% increase of productivity. <strong><em>(EU PR, Brussels, 2 July 2014).</em></strong></p>
<hr />
<p><strong>Keynote Speakers:</strong></p>
<ul>
<li><strong>Who&rsquo;s Big Data is it anyway - </strong>Professor Rick Chandler, BCS.<strong>&nbsp; </strong>London Node.</li>
<li><strong>Super Computers and Super Bugs -&nbsp;</strong>Farzana Rahman, University of South Wales (speaker supported by High Performance Computing (HPC) Wales <a href="http://www.hpcwales.co.uk/">www.hpcwales.co.uk</a>). &nbsp;Welsh Node, Swansea University.</li>
<li><strong>Text Similarity Analysis with Big Data a case study from </strong><strong>ErrorJoy.com</strong>&nbsp;-&nbsp;Dan Thompson, D4 Software.&nbsp; Birmingham Node, Innovation Birmingham.</li>
<li><strong>Data Driven business Models -&nbsp;</strong>Dr Mohamed Zaki, Research Associate at Cambridge Service Alliance. Cambridge Node.</li>
</ul>
<p><strong><span style="text-decoration: underline;">This is a UK wide <a href="http://www.nvinetwork.com/"><strong>Cisco National Virtual Incubator</strong></a>&nbsp;event, with guest speakers and live audiences at NVI Nodes including: Innovation Birmingham, Swansea University, Ideal London and Accelerate Cambridge.</span></strong></p>
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           Posted by
            <span class="fn">Bethan Evans</span>
            &lt;<a class="email" href="mailto:b.w.evans@swansea.ac.uk">b.w.evans@swansea.ac.uk</a>&gt;
        </li>

        <li class="news-item-post-info">
            <a href="/press-office/news-archive/2014/bigdatafromscienceandmedicinetobusinessinnovation.php" rel="bookmark">
                <abbr class="published" title="2014-10-01T01:00:00+01:00">Wednesday 1 October 2014 01.00 BST</abbr>
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        <li class="news-item-post-info updated-container">
            <abbr class="updated" title="2019-09-24T12:24:42+01:00">Tuesday 24 September 2019 12.24 BST</abbr>
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        	<span class="fn org">Swansea University</span>, Tel: <span class="tel">01792 295049</span>
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