In the past two years, many organizations have struggled to successfully implement generative AI due to escalating costs and extended timelines. A 2023 AWS MIT survey reveals that while 71% of Chief Data Officers are experimenting, only 6% have deployed solutions. Platform engineering concepts can significantly enhance efficiency by building reusable components, which accelerate development and control costs. This approach not only fosters rapid deployment but also enhances security, compliance, and innovation. Generative AI applications maintain a three-layer structure, incorporating a generation layer instead of just traditional data handling. Effective platform engineering ensures reusable front-end components and robust data governance, optimizing structured and unstructured data access. Organizations can leverage AWS services like API Gateway and SageMaker to streamline operations, customize models, and enforce security controls. Embracing a platform-centric strategy can facilitate seamless integration of evolving large language models, supporting scalable and innovative generative AI applications.
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