Processing millions of medical images in the cloud: DoiT helps QMENTA keep costs under control
QMENTA and DoiT optimize clinical trials, using AI and Google Cloud for efficient medical image management, yielding a 22% cost reduction.
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PerimeterX and DoiT International combined Premium Tier Networking on Compute Engine with Cloud Load Balancing to cut response times by 20 percent to 40 percent. With BigQuery as an IaaS data warehouse to support the backend, PerimeterX has now moved all of its infrastructure to Google Cloud Platform.
By taking advantage of granular pricing, it can optimize cost-efficiency and determine where measures including Preemptible VMs can create savings. Now PerimeterX is exploring Cloud Dataflow stream processing and using Google Kubernetes Engine in the CI/CD pipeline to further speed development.
By working with DoiT International to leverage Google Cloud Platform, PerimeterX was able to:
– Pinpoint cost-efficiencies with granular Google Cloud pricing.
– Explore new, innovative approaches working closely with Google product teams.
– Manage a scalable and elastic data warehouse (EDW) without having to build it out themselves.
QMENTA and DoiT optimize clinical trials, using AI and Google Cloud for efficient medical image management, yielding a 22% cost reduction.
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