Google Cloud recently published an article highlighting the three key steps in mapping out a modern platform strategy. As AI adoption accelerates, it's becoming clear that yesterday's developer platforms aren't enough to meet the demands of building and deploying AI-infused applications. The article focuses on the importance of updating platform strategies to ensure that developers—and the wider set of folks using AI—have what they need for the years ahead.
One aspect I found particularly interesting is the emphasis on defining the platform's purpose. Often, organizations focus on the technical aspects without a clear understanding of how the platform will be used and by whom. By clearly identifying the target users and their goals, organizations can build platforms that effectively address their needs.
I was also drawn to the emphasis on the importance of continuous measurement. Building a platform is just the first step; it's crucial to track its performance and impact on users. By defining success metrics and collecting data, organizations can continuously improve their platforms and ensure their effectiveness.
Overall, the article provides a valuable framework for organizations looking to modernize their platform strategies in the age of AI. By focusing on purpose, measurement, and continuous improvement, organizations can build platforms that support innovation and growth.
