The Future of Data Migration Fueled by Generative AI - Onix
As enterprises accelerate their move from legacy systems to the cloud, data migration is no longer a technical afterthought—it’s a strategic business imperative. And now, with the rise of Generative AI, the global data migration market is expected to skyrocket to $11 billion by 2025.
While 2022 marked the rise of Generative AI in public awareness, 2024 is the year it moves beyond the hype, solving real-world business challenges—starting with the complexity of data migration.
In this blog, we explore how GenAI is transforming every stage of the data migration journey.
Why Traditional Data Migration Falls Short
A staggering 80% of data migration projects fail to meet their goals, often exceeding budgets or deadlines. The process is intricate—dealing with inconsistent metadata, incomplete datasets, regulatory challenges, and poor data quality.
This is where Generative AI-powered tools come in, offering game-changing solutions for streamlining, securing, and scaling the data migration process.
Key Areas Where Generative AI Elevates Data Migration
1. Synthetic Data Generation
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Richer and more diverse than the original data
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Useful for filling gaps in incomplete records
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Safe to use in testing and development environments
2. Automated Data Validation
GenAI solutions automate data cleansing by understanding the structure and semantics of data, detecting inconsistencies, and validating integrity at scale. This significantly accelerates the migration timeline and ensures data accuracy.
3. Intelligent Schema Mapping
Tools like Eagle, cloud migration planning tools leverage semantic understanding to map source and target schemas with precision. Generative AI:
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Identifies attributes and relationships
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Automates schema mapping
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Minimizes risk of data loss
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Recommends mappings based on machine learning
4. Enhanced Data Security
Recent high-profile breaches highlight the need for secure migration. With synthetic data capabilities, GenAI:
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Generates “artificial” datasets that mimic sensitive data
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Maintains data privacy while training or testing models
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Ensures compliance with GDPR and other data privacy regulations
Business Benefits of GenAI in Data Modernization
Streamlined Migration
AI-powered tools automate repetitive, manual processes such as:
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Infrastructure provisioning
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Compatibility testing
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Data analysis and transformation
This frees up teams to focus on strategic initiatives.
Improved Schema Mapping
GenAI understands complex database structures and automates the schema mapping process, including data pre-joining—merging tables into a unified structure to modernize legacy databases.
Faster, More Accurate Code Translation
Also known as refactoring, this is critical to modernizing apps during migration. GenAI:
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Understand source code logic
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Translates it to target languages
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Optimizes performance on cloud platforms
Greater ROI & Cost Efficiency
According to McKinsey, GenAI tools contribute to:
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Discovering new use cases
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Reducing migration time and costs
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Boosting developer productivity on cloud platforms
Fireside Chat: The Future of Data Migration with Onix & QKS Group
To explore these innovations in-depth, Onix is hosting a fireside chat in collaboration with QKS Group. This conversation will uncover how Generative AI and autonomous data management are redefining cloud migration.
Agenda Highlights:
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The role of GenAI in data quality, synthetic generation, and intelligent mapping
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Real-time observability and AI-powered automated testing
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The power of no-code/low-code tools to simplify migration
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Unlocking decision-making with AI-enhanced analytics
Gain exclusive insights into how modern data strategies can help your organization move smarter, faster, and safer.
Reserve your spot now to join the conversation and lead your business into the future of data migration.
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