Clean up case study images.

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TAKAHASHI Shuuji
2020-07-22 12:44:37 +09:00
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<div class="article image overlay" style="background-image: url('/images/babylon4.jpg')">
<div class="article image overlay" style="background-image: url('/images/case-studies/babylon/banner4.jpg')">
<h1> CASE STUDY: Babylon</h1>
<div class="subhead">How Cloud Native Is Enabling Babylons Medical AI Innovations</div>
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Instead of waiting hours or days to be able to compute, teams can get access instantaneously. Clinical validations used to take 10 hours; now they are done in under 20 minutes. The portability of the cloud native platform has also enabled Babylon to expand into other countries.</div>
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</section>
<div class="article image overlay" style="background-image: url('/images/babylon1.jpg');">
<div class="article image overlay" style="background-image: url('/images/case-studies/babylon/banner1.jpg');">
<div class="quotetext">
“Kubernetes is a great platform for machine learning because it comes with all the scheduling and scalability that you need.”
<p><div class="quoteauthortext">- JÉRÉMIE VALLÉE, AI INFRASTRUCTURE LEAD AT BABYLON</div></p>
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<div class="article image overlay" style="background-image: url('/images/babylon2.jpg');">
<div class="article image overlay" style="background-image: url('/images/case-studies/babylon/banner2.jpg');">
<div class="quotetext">
“Giving a Kubernetes-based platform to our data scientists has meant increased security, increased innovation through empowerment, and a more affordable health service as our cloud engineers are building an experience that is used by hundreds on a daily basis, rather than supporting specific bespoke use cases.” <p><div class="quoteauthortext">- JEAN MARIE FERDEGUE, DIRECTOR OF PLATFORM OPERATIONS AT BABYLON</div></p>
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