Projected to reach a value of $11 billion by 2025, the global market for data migration is set to explode with the emergence of Generative AI. This is unsurprising as more enterprises move from legacy environments to cloud systems. It’s now a business necessity to leverage the power of Generative AI to harness their data potential.
While 2022 was the year when Generative AI came into public consciousness, 2024 is the year when Generative AI moves beyond the hype and tackles real-life business challenges. One such challenge is the complex state of data migration.
Here’s a deeper dive into the impact of Generative AI on data migration.
How Generative AI Improves Data Migration
80% of data migration projects do not meet their goals or overrun their costs and deadlines. With Generative AI tools, companies can mitigate common migration challenges by cleansing and validating the metadata. Further, AI-powered migration can maintain compliance with data privacy regulations like GDPR.
Here are some areas in data migration and modernization that Generative AI can impact:
- Data generation
Generative AI tools can generate synthetic data, which can augment existing datasets – or even create new data for incomplete datasets. This ensures the migrated data is complete without any missing data. - Data validation
Advanced AI technologies can enable data cleansing through automation by understanding data semantics and structures. This helps companies detect inconsistencies and errors in migrated data. Further, it can accelerate the migration process by automating the data validation process. - Semantic understanding
By understanding data semantics like attributes and relationships, Generative AI solutions can accurately map between the source and target of data schemas. This capability is crucial for maintaining data integrity and the context during migration. Additionally, it can prevent data losses by automating the mapping process. - Data security
In a recent data breach, a technology giant ended up compromising data of approximately 30 million customers. Generative AI can safeguard data by generating synthetic data that preserves the properties of sensitive information. Sensitive data includes financial data or personally identifiable information (PII). Generative AI also enables data regulatory compliance by generating synthetic “substitutes” for highly sensitive data.
Benefits of Generative AI for Data Migration
By accelerating the migration process, Generative AI can help enterprises reap the benefits of cloud migration quickly. Here are the main benefits of deploying Generative AI during migration:
- Streamlining the migration process
Depending on the complexity of the existing legacy systems, migration can be cumbersome and involve a lot of manual tasks – such as data analysis, infrastructure modernization & provisioning, and compatibility testing.
Generative AI can automate these manual tasks, thus freeing up human resources to focus on other operational tasks. - Improved schema mapping
Generative AI-powered algorithms are trained to understand database schemas, data relationships, and structures. With this capability, these algorithms can build intelligent mappings for schemas.
Additionally, Generative AI can facilitate schema mapping through data pre-joining, where database tables are pre-joined in data warehouses and merged into a single structure. This is crucial in the process of modernizing databases. - Faster accurate code translation
Also known as refactoring, code translation is an integral part of data migration and modernization. For a smooth migration, the refactored code must be compatible with the target platform.
Generative AI can understand the intricacies of the source code, thus enabling migration tools to translate it accurately to the target language. With code optimization, enterprises can also enhance code performance on the cloud platform. - Cost-effectiveness and ROI
Generative AI helps enterprises cut migration costs and improve ROI as they move to the cloud. According to McKinsey, Generative AI can deliver incremental ROI to cloud migration through the following 3-point benefits:
- Discovering new business use cases.
- Reducing the application remediation and migration costs and time.
- Improving the productivity of application development on the cloud.
All about the upcoming fireside chat on data migration
In association with QKS Group, Onix has organizing a fireside chat on the future of data migration. The chat is all about how Generative AI and autonomous data management can transform data migration.
Here’s the main agenda of the fireside chat:
- The use of Generative AI and autonomous data management in cloud migration.
- How Generative AI can enrich data quality – along with synthetic data generation and automated mapping.
- Leveraging no-code/ low-code solutions to simplify data migration.
- Learning about AI-powered automated testing and real-time observability.
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Reference links:
https://www.hcltech.com/blogs/ai-and-data-migration-a-winning-combination-for-business
https://systechusa.com/decoding-the-allure-of-generative-ai-in-cloud-migration
