Generative AI: Transforming Data Migration in the Cloud Era - Onix
The global data migration market is on track to soar to an impressive $11 billion by 2025—a surge fueled by the growing shift from legacy systems to cloud-based environments and the rising influence of Generative AI. As enterprises seek to unlock the full potential of their data, leveraging these advanced technologies has become essential for driving efficiency and competitive advantage.
The Generative AI advantage in data migration
Despite its promise, nearly 80% of data migration projects struggle to meet their goals, often exceeding cost estimates and deadlines. Generative AI is now stepping in to address these challenges, offering innovative solutions that can streamline processes and reduce errors. Here’s how:
Data generation:
Synthetic test data generation tool, such as Kingfisher, are revolutionizing data creation. By generating synthetic data, these solutions can fill gaps in incomplete datasets or even enhance existing ones, ensuring that all necessary data is present for a successful migration.Data validation:
With an advanced AI understanding of data semantics and structures, automated tools can cleanse and verify metadata more effectively than traditional methods. This capability helps detect inconsistencies and errors early in the process, accelerating migration timelines and bolstering data integrity.Semantic understanding:
Tools like the Eagle migration planning system utilize Generative AI to accurately map the complex relationships within data schemas. By comprehending attributes and data interdependencies, these solutions can automate mapping processes, minimize the risk of data loss, and ensure that the integrity of information is maintained throughout the migration.Data security:
In today’s environment where data breaches can affect millions of users, protecting sensitive information is paramount. Generative AI solutions can generate synthetic versions of real data, preserving key characteristics while shielding personally identifiable information (PII) and other sensitive details. This approach not only enhances security but also helps companies comply with regulations such as GDPR.
Benefits of data modernization
Integrating Generative AI into data migration doesn’t just improve the process—it transforms it. Here are the primary benefits that enterprises can expect:
Streamlined migration processes:
Migrating from outdated legacy systems often involves cumbersome manual tasks such as data analysis, infrastructure updates, and compatibility testing. AI-powered automation can handle these tasks, freeing up valuable resources to focus on strategic initiatives.Enhanced schema mapping:
With algorithms trained to understand complex database schemas, Generative AI can intelligently create mappings between source and target systems. This not only simplifies the migration process but also improves the accuracy of data transfers by pre-joining and merging database tables where necessary.Accurate and efficient code translation:
Known as refactoring, code translation is a critical step during data modernization. Generative AI can decipher the nuances of source code and accurately translate it into a format compatible with the target platform, ensuring smooth integration and optimal performance in the cloud.Cost savings and improved ROI:
By automating many of the labour-intensive aspects of data migration, context-aware AI tools help cut costs and boost return on investment. According to insights from industry leaders like McKinsey, these tools can unlock new business opportunities, reduce remediation expenses, and enhance overall productivity in cloud-based environments.
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