Projected to reach $11 billion by 2025, the global data migration market is set to transform with AI and ML solutions. As enterprises shift from legacy environments to cloud systems, leveraging generative AI technology services becomes a necessity to maximize data potential.

While 2022 introduced generative AI to the public, 2024 is the year AI and ML solutions move beyond the hype to solve real business challenges. One such challenge is the complexity of data migration.

Here’s a deeper look at how AI and ML solutions enhance data migration processes.

Studies show that 80% of data migration projects fail to meet goals, exceeding budgets and deadlines. AI-powered solutions mitigate these challenges by automating metadata cleansing, validation, and compliance adherence to regulations such as GDPR.

Key Impacts of AI and ML Solutions on Data Migration and Modernization:

1. AI-Powered Data Generation tool like Kingfisher use AI to generate synthetic data, augment existing datasets, and fill gaps in incomplete datasets. AI models can train algorithms to create richer, more comprehensive datasets, ensuring that migrated data is complete and reliable.

2. Automated Data Validation:  AI-driven technologies enable automated data cleansing by understanding data semantics and structures. This allows companies to detect inconsistencies and errors in migrated data, accelerating the migration process while maintaining data integrity.

3. Semantic Understanding for Data Mapping: Maintaining data integrity during migration is critical. With solutions like Eagle migration planning tools, enterprises can automate schema mapping between source and target databases. AI-powered mapping tools analyze data attributes and relationships, ensuring accurate mapping and preventing data loss.

4. Enhanced Data Security: Recent data breaches have compromised millions of users’ data. AI-generated synthetic data safeguards sensitive information by providing artificial yet realistic substitutes for personally identifiable information (PII) and financial records. AI-driven data security ensures compliance with global regulations while protecting real-world data.

Benefits of AI and ML Solutions in Data Modernization

By accelerating migration timelines, AI and ML solutions enable enterprises to quickly leverage cloud computing benefits. Here are the key advantages of deploying AI and ML solutions during migration:

1. Streamlining the Migration Process Legacy systems requires extensive manual intervention for data analysis, infrastructure provisioning, and compatibility testing. AI automates these tasks, freeing up valuable human resources for other operational needs.

2. Improved Schema Mapping AI-powered algorithms understand complex database schemas and relationships. These algorithms facilitate schema mapping by pre-joining database tables and merging structures, a crucial step in modernizing databases.

3. Faster and More Accurate Code Translation Code refactoring is essential for a seamless migration. AI-enabled solutions understand source code intricacies and enable migration tools to accurately translate code to the target language, ensuring optimal cloud performance.

4. Cost-Effectiveness and Increased ROI AI and ML solutions help enterprises reduce migration costs and maximize ROI. According to McKinsey, AI can deliver enhanced cloud migration ROI through:

Onix, in association with QKS Group, is hosting an exclusive fireside chat on the future of AI-powered data migration. This session will explore the transformative role of generative AI technology services and autonomous data management.

Unlock the true potential of your data with our AI and ML solutions. Gain exclusive insights by filling out the form now.