Data Integration Architectures: Challenges, Best Practices & Benefits
AI infrastructure architecture is the enterprise framework powering AI at scale, integrating data pipelines, compute, deployment, monitoring, and governance.
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A leading U.S healthcare technology provider teams with Quinnox to build an innovative relational health platform that reduces costs, creates efficiencies and more.
Building the platform involved a high degree of complexity, tight timelines, a lack of resources, many open-source technology issues and several other challenges.
Quinnox deployed an agile methodology and built a Persuasion Engine built on open source technology, powered by big data analytics for a responsive web solution.
The program goals were achieved at 20 percent less cost than estimated, with a 40 percent increase in transactions; over $100 million in Payment transaction costs saved.
AI infrastructure architecture is the enterprise framework powering AI at scale, integrating data pipelines, compute, deployment, monitoring, and governance.
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