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Summary: This is a summary of an article originally published by The New Stack. Read the full original article here →
In the evolving landscape of technology, platform teams are emerging as a critical component in the integration of artificial intelligence into software development processes. These teams specialize in creating and maintaining platforms that enable other teams to deploy their applications efficiently. By focusing on standardization and scalability, platform teams provide a strong foundation that allows development teams to innovate without getting bogged down by operational concerns.
The increasing reliance on AI tools and services underscores the importance of robust platform engineering. With many organizations adopting AI into their workflows, the need for seamless integration, deployment, and monitoring of AI-driven applications becomes paramount. Platform teams help bridge the gap between development and operations, fostering collaboration through the use of DevOps practices.
By embracing a DevOps mindset, platform teams are also instrumental in ensuring that the tools and technologies used align with best practices in continuous delivery and integration. This not only improves the efficiency of deployments but also enhances the overall quality of software while reducing the time it takes to respond to market changes. Their role is essential in crafting an environment where rapid development, deployment, and feedback loops are possible, leading to more agile organizations.
As artificial intelligence continues to shape the future of software development, the influence of platform teams will likely grow, making them a vital asset in any organization’s tech arsenal. This evolution presents opportunities for professionals skilled in DevOps to thrive as they adopt new technologies and innovate within their domains.
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