Cloud migration has shifted from a question of "if" to one of "how fast and how well." For today's enterprise leaders, the true differentiator is not just reaching the cloud, but doing so with efficiency, predictability and readiness for an AI-powered future.
As digital transformation accelerates, automation of code translation and, in particular, AI-driven code translation, has emerged as a critical enabler for organizations seeking to modernize at scale.
Legacy data warehouses and applications, often built on platforms like Teradata or SQL Server with complex data pipelines, pose significant complexity. These systems can contain millions of lines of code, intricate data dependencies and deeply embedded business logic developed over decades. Traditionally, translating this code for cloud-native platforms has been a manual, error-prone process that can stall transformation and exhaust valuable resources.
That landscape is rapidly changing. AI-powered code translation and automation now enable organizations to accelerate migrations, minimize risk and achieve rapid cutovers, unlocking the full potential of the cloud and AI.
Modern automation platforms, powered by generative AI, can analyze legacy code, translate it for cloud environments such as Snowflake or AWS and optimize it for performance and compliance. These tools handle SQL, ETL, stored procedures and complex data pipelines, reducing manual effort and compressing migration timelines from years to months or even weeks. (Disclosure: My company, Next Pathway, has a partnership with AWS and Snowflake.)
In practice, AI-driven translation platforms ingest legacy codebases, parse and map logic to cloud-native constructs and automatically generate target code. Machine learning models, trained on millions of lines of code, enable these platforms to recognize patterns, optimize queries and suggest architectural improvements. Automated validation and testing frameworks further ensure that translated code is functionally accurate and high-performing in its new environment.
According to Forrester, organizations adopting AI-driven automation in cloud migration are achieving faster transitions, greater agility and improved operational efficiency—key advantages for enterprises modernizing at scale.
Read the full article here: Best Practices: AI-Powered Code Translation In Enterprise Cloud Migration
About Next Pathway
Next Pathway is the Automated Cloud Migration company. Powered by CRAWLER360, SHIFT Cloud, and the TESTER, Next Pathway automates the end-to-end challenges companies experience when migrating applications to the cloud.
For more information, please visit nextpathway.com.