Latest news with #ChetanMathur
Forbes
5 days ago
- Business
- Forbes
Best Practices: AI-Powered Code Translation In Cloud Migration
Chetan Mathur is CEO of Next Pathway, the Automated Cloud Migration company. 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. The New Imperative: Modernize At Speed 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. How AI And Automation Are Transforming Migration 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. Real-World Proof: Automation In Action Danske Bank, one of Europe's largest financial institutions, migrated 16,600 servers and 25 PB of data to AWS using hyper automation. Automation cut the migration timeline in half, reduced costs by 50% and replaced weeks of manual runbook creation with seconds, enabling rapid, secure and large-scale cloud adoption. Micron migrated 500 TB of data from a legacy data warehouse to Snowflake. Automation was central to the process, enabling rapid data ingestion, transformation and analytics, unlocking new business insights and accelerating scientific innovation. WHOOP transitioned from a legacy data warehouse to Snowflake in just three months. Automation and Snowflake's managed services enabled rapid migration, improved governance and eliminated resource contention, supporting business growth and innovation. Nomura Research Institute leveraged AWS Transform's agentic AI to automate the analysis, documentation and code translation of millions of lines of mainframe COBOL and JCL. This AI-driven approach reduced code analysis and migration time from months to weeks, enabling rapid, accurate modernization with minimal manual effort. Best Practices For AI-Powered Cloud Migration AI-driven automation is transforming cloud migration from a technical hurdle into a strategic opportunity. Here's how leading organizations are rethinking their approach: Start with a sharp focus on business impact. Map migration priorities to outcomes such as accelerating innovation, enabling real-time analytics or supporting new digital business models. This ensures every decision is guided by measurable value and enterprise-wide alignment. Manual processes cannot keep pace with today's complexity. AI-powered crawler systems provide deep visibility into legacy environments, surfacing hidden dependencies and risks. Automated translation and orchestration accelerate timelines and preserve critical business logic. Integrating automated quality assurance (QA) testing throughout ensures accuracy, security and performance before cutover. Break migration into manageable phases to minimize business disruption and risk. Start by automating the migration of pilot workloads to validate your approach and processes. Once your automated approach is proven, progressively migrate larger and more complex workloads in subsequent phases. This structured strategy helps meet critical deadlines and ensures business continuity throughout the migration journey. Automated, continuous testing validates data accuracy and application performance at every stage. Real-time monitoring provides immediate feedback, helping teams address issues proactively and maintain high standards of security and compliance. Invest in training and foster cross-functional collaboration. Empowering teams to work with cloud-native and AI-driven tools ensures your organization can fully leverage new capabilities and sustain innovation over time. By approaching migration as a strategic enabler, organizations can achieve agility, resilience and innovation while minimizing disruption. This positions them to lead in an AI-powered future. Conclusion AI-powered code translation is more than a technical breakthrough—it's a strategic imperative. Enterprises that seize this capability will not only accelerate their migrations, but will also unlock the agility, resilience and innovation required to lead in the AI-driven future. The organizations that act now will shape the standards and set the pace for digital transformation in their industries. Forbes Technology Council is an invitation-only community for world-class CIOs, CTOs and technology executives. Do I qualify?
Cision Canada
03-06-2025
- Business
- Cision Canada
Next Pathway Enhances its Migration Planning Tool, CRAWLER360, with AI-Powered Advancements
TORONTO, June 3, 2025 /CNW/ - Next Pathway Inc., the Automated Cloud Migration Company, announces significant improvements to its migration planning tool, CRAWLER360 ™, powered by cutting-edge AI models and advanced infrastructure innovations. These enhancements elevate the platform's ability to streamline cloud migration projects, delivering unprecedented speed, accuracy, and efficiency. Our engineering team has integrated AI to revolutionize how CRAWLER360 crawls data warehouses, data lakes and ETL Pipelines —both cloud-based and on-premises. This new capability distills valuable insights from vast data environments, improving migration planning and empowering clients to better prepare for complex cloud migration initiatives. Using AI to improve our crawling capabilities has allowed us to deliver better, faster reports which detail code composition, job categorization, job and dataflow lineages as well as the ability to rationalize the components contained in a data warehouse prior to code translation. This is giving our customers great confidence in how we plan to tackle complex migrations. Four key features have been launched in this latest version of CRAWLER360: Asset Analysis – a comprehensive overview of your legacy system by object type. Data Lineage – visual representation of the data flow and transformations in your legacy system. Job Lineage – illustrates the relationship between jobs, scripts and procedures. Asset Rationalization – insights into the modernization opportunities. The output from CRAWLER360 provides users with the capability to: Build scenario-based wave plans: Create cloud migration wave plans by tables, data warehouse or jobs dependent on specific applications. Profile each ETL platform. Specify each job, control flow, data flow steps, sources and sinks for each ETL platform. Automatically trigger the creation of test scripts to verify their cloud migration. Download for off-line use. Download the output from CRAWLER360 for further analysis or pull the metadata into other data tools. Next Pathway is now offering the enhanced version of CRAWLER360 as part of its Migrate360 ™ solution package — a complimentary 1-week technical migration assessment. "Never before has a cloud migration been easier and faster," said Chetan Mathur, CEO of Next Pathway. "As clients demand shorter turnaround times for their cloud migration projects, Next Pathway's innovations ensure we stay ahead of the curve by providing the fastest and most accurate solutions in the market.", Mathur added. About Next Pathway Next Pathway automates the end-to-end challenges our clients face when migrating legacy applications to the cloud. Our SHIFT Product Platform simplifies and speeds up the migration process for data warehouses and complex ETL platforms.
