thomson-reuters-case-study.html

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      <h1 class="case-study-heading">Thomson Reuters Case Study</h1><img src="images/tr-logo.png" class="case-study-logo">
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          <h3 class="case-study-template-heading">What Was Built?</h3>
          <p class="case-study-text">A contextual rich-video search and distribution platform serving banks, trading desks and financial risk news consumers.</p>
          <h3 class="case-study-template-heading">Why Kaltura?</h3>
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            <li class="case-study-template-li-bullets"><strong>Platform API and SDKs</strong>
              <br>Custom workflows, tight integrations with 3rd party systems and native mobile apps</li>
            <li class="case-study-template-li-bullets"><strong>Player Toolkit<br></strong>Seamless playback across web browsers, social networks and native apps</li>
            <li class="case-study-template-li-bullets"><strong>Sophisticated ingestion, indexing and BPM flows</strong>
              <br>Multi-channel content ingestion using custom data and rich content discovery, at scale</li>
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          <h3 class="case-study-template-heading">Background</h3>
          <p class="case-study-text">Thomson Reuters Insider is a news platform featuring contextual, time-sensitive video news distribution and discovery for financial institutions and trading desks featuring semantically analyzed content by Reuters and from 100+ news partners globally.</p>
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            <blockquote class="case-study-quote">͞"Kaltura technology has helped us move our content and business offering forward, consolidate under one flexible API and provide our users with robust and intelligent  media widgets that are easy to embed and contextually aware, bringing valuable on-time insights to our customers, across any of their applications."</blockquote>
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              <li class="case-study-template-li"><span class="fa fa-check"></span> &nbsp;Custom Ingestion Workflows</li>
              <li class="case-study-template-li"><span class="fa fa-check"></span> &nbsp;Scalable Indexing and Discovery</li>
              <li class="case-study-template-li"><span class="fa fa-check"></span> &nbsp;Usage of Kaltura APIs and SDKs</li>
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