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At the core of all RxDS solutions is a versatile analytics ecosystem comprised of open-source libraries for machine learning and complex web development frameworks to implement the machine learning capabilities.

The architecture is compatible with both on-premises deployments for sensitive workloads as well as virtual-private cloud enabled implementations in AWS, Azure, Google Cloud, and other environments. RxDS also provides containerized solutions that can be deployed in various operating systems for consistency.

Underlying Components Include:

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ML and AI Open-Source Software Stack

The ML/AI Open-Source Software (OSS) Stack comprises of R, Python, and Julia libraries. Popular ML packages such as scikit-learn, tensorflow, pyTorch (Python), caret, e1071, nnet (in R), and JuliaML utilities are pre-configured within the solutions and can be executed in-database.

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High-Performance Computing Hardware Stack

All solutions are backed by a High-Performance Computing (HPC) architecture stack that comprises NVMe and GPU based AWS EC2 instances for fast I/O, multi-core parallel processing, and deep learning capabilities via GPU integration.

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Web Frameworks and Visualization

Web-frameworks from the Javascript world, the industry and enterprise standard, power all RxDS applications. Our full-stack team leverages well-known solutions such as Angular, Ember, React, and node.js to deliver functionality-rich interactive front-ends for end-users to make use of the underlying machine learning capabilities.

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Governance, Security, and Administration

All solutions from RxDS include an administrative layer that includes various administrative functionalities such as user management, auditing, and granular table-level access control. Industry-leading security standards are integrated along with a governance layer that includes process management.

Major Differentiators of the Platform Include:

  • 50% reduction in set-up time of typical BI Project using next-generation BI Apps integrating large data and ML, delivered in a ready-to-use app.
  • 60% reduction in ongoing BI maintenance costs through agile delivery of next-generation BI, bringing data science to masses.
  • 50% cycle time reduction in setup using on-premises or cloud-based data lake including well-defined proven governance framework, Agile-based program governance, fail fast.
  • 40% cost reduction in comparable streaming infrastructure using a proven platform handling streaming health data.

What Others Are Saying

"RxDataScience's customer service focus is just fantastic. They are incredibly responsive to requests, and, in the rare instance an issue arises, the team is very proactive about communicating resolution timelines. I have worked in the industry for 20+ years and my experience with RxDataScience has ranked among my top data & analytics vendor experiences."

Senior Director, Market Insights

Global Pharma Company

"The RxDataScience team brings agility, advanced capabilities, and technology we simply cannot get from the other top consulting firms."

Chief Data Officer

Top 10 Pharma

"Vendors like to talk agile and use the latest buzzwords, but the RxDataScience team has Agile as part of their DNA. We benefit from it every day working with their team."

Director, Commercial Systems

Orphan Drug Company

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