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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The largest bottler that produces, distributes, and markets bottle and canned liquid non-alcoholic refreshment products in North America.
MuleSoft was chosen as the integration platform of the future with corollary goal of accelerating the adoption of best practices to increase the overall quality of service. The goal was to achieve the vision of seamlessly connecting to Cloud, Enterprise and Partner applications, systems and data across the bottler community with lower cost but higher quality and a greater degree of agility. Issues included:
AI infrastructure architecture is the enterprise framework powering AI at scale, integrating data pipelines, compute, deployment, monitoring, and governance.
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