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Legacy Systems Holding You Back? Here’s How to Migrate Like a Pro

Biggest challenge? Bridging the gap between old and new. Different architectures.

Welcome to the DataMigration.AI Newsletter

Data migration is messy. Slow. Complicated. But at DataMigration.AI, a brand of Towards AGI, we’re flipping the script.

With Generative AI, we make data transfer smarter, faster, and more reliable. No more headaches. No more endless delays. Just precision, speed, and seamless transitions—the way it should be.

Legacy Systems Holding You Back? Here’s How to Migrate Like a Pro

Legacy systems? They’re like old cars—expensive to maintain, slow, unreliable. They hold businesses back. But companies can’t afford to stay stuck. They need modernization.

Meet Harika. She’s been in the trenches. A DevOps Engineer tackling one of the trickiest problems—moving data from old systems to new cloud environments. It’s not just copying and pasting. Nope. It’s risky. Mess up? Data gets lost. Corrupted. It was a total disaster. That’s why more companies trust automation.

She knows the pain of manual migration. Errors. Wasted time. Too much hassle. So she turned to automation—Ansible, AWS, and Kubernetes. The result? Faster transitions. Fewer mistakes. More stability.

Harika worked on Data Migration Service (DMS). A big deal. She had to move massive amounts of data, keep it secure, and ensure nothing broke. And sometimes, she had to switch between AWS and Azure. That’s DevOps life—fast, flexible, always adapting.

Biggest challenge? Bridging the gap between old and new. Different architectures. Different rules. But automation helped smooth things out. “It’s not just about shifting data,” she says. “It’s about preparing it for what’s next.”

She slashed config headaches with automation. No more repetitive setups. No more wasted hours. Companies could modernize without chaos. Because in today’s world, nobody wants disruptions.

Looking ahead? Cloud automation is only getting stronger. AI and machine learning will predict problems before they happen. Self-healing systems? Probably not too far off.

Her advice? Learn automation. Master cloud tech. Stay ahead. The future is coming fast. Adapt or get left behind. Harika isn’t just migrating data. She’s building the future.

Databricks Just Made Data Migration Faster with BladeBridge Acquisition

Big moves at Databricks. The Data and AI giant just brought the BladeBridge team on board. If you don’t know, BladeBridge is a powerhouse in AI-driven data warehouse migrations. They make shifting from legacy systems—Snowflake, Teradata, Redshift—way less painful. Now, with Databricks, they’re gonna make that process even faster. Less manual work. Fewer headaches. More automation.

What’s the Big Deal?


Legacy data warehouses are a mess. Slow. Expensive. Stuck in silos. Companies want out. Databricks SQL is their ticket. It’s fast. Smart. Built with AI. And the market knows it—Databricks SQL just grew over 150% last year, smashing past $600 million in revenue.

The problem? Migrations ain’t easy. That’s where BladeBridge comes in. Their automation tech handles 20+ enterprise data warehouses and ETL tools. It converts code. Cleans it up. Makes sure everything runs smoothly on Databricks SQL. No wasted time. No broken scripts.

A Perfect Fit


BladeBridge has already helped hundreds of companies switch to Databricks. They work with big names—Accenture, Capgemini, Celebal Tech, Ness Digital, and Tredence. They make sure projects get done on time and without chaos.

Ali Ghodsi, Databricks' CEO, sums it up: "Companies are moving to Databricks SQL for the price, speed, and AI power. We want to make migrations effortless. With BladeBridge, we just made that a whole lot easier—at way less cost."

Simon Eligulashvili, co-founder of BladeBridge, is pumped: "We started this company to fix frustrating problems for businesses modernizing their data stack. Joining Databricks lets us take that mission to the next level."

Even Ness Digital CEO Ranjit Tinaikar chimed in: "BladeBridge helped us deliver on huge migration projects. Now, working with Databricks, that partnership’s gonna be even stronger."

What’s Next?


Databricks is on fire. They just raised a massive $15 billion. They’re now valued at $62 billion. By early 2025, they expect to cross a $3 billion revenue run rate and hit positive cash flow.

The message is clear: Databricks is taking over. And BladeBridge just made the ride smoother.

JiVS Hackathon @WEF2025: AI, Code & Game-Changing Innovations

Code beats words. That’s the motto. That’s the drive. Data Migration International (DMI) kicked off its first-ever JiVS Hackathon during WEF 2025 (Jan 21-23). The mission? Use AI to solve real problems. The reward? 5,000 Swiss francs.

40 developers. Different countries. Different backgrounds. Algeria. Dubai. Germany. Canada. Austria. Switzerland. The USA. All here for one thing—to build something groundbreaking.

Cracking Data Migration with AI

The winners? Team “Inspect.” Their idea? AI-powered image recognition for avalanche risks. Sounds niche? Maybe. But it could save lives. Right now, Swiss avalanche assessments are paper-based, slow, and outdated. Inspect’s system? Instant smartphone analysis. Take a picture. Upload. AI assesses the risk. Guides react fast. People stay safe.

Other Wild Ideas That Made the Cut

Second place? Team “Strike.” They went straight for DMI’s biggest pain point—data migration. Moving to new systems like SAP S/4HANA is a mess. Too slow. Too many errors. Strike fixed that. Instead of touching raw data, they worked at the application level. More precision. Less human input. Big win for companies drowning in system upgrades.

Third place? Team “Sigma.” AI-powered chatbots. But not just any chatbots. Ones that control humanoid robots. Think robots following natural language commands. No hard coding. No rigid controls. Just talk and watch them move. They even took a bot for a walk through Davos. Imagine what that could mean for hospitals, elderly care, and customer service.

What’s Next? More AI. More Disruption.

The big finale? The Digital Lounge @WEF2025 at Guggerbach Center. 100+ executives. AI experts. Big names. Big ideas. Where is AI going? What’s next?

Thomas Failer, DMI’s CEO, had an answer. AI isn’t just cool tech. It’s economic survival. Germany, Austria, Switzerland? Their economies need AI to stay productive. To attract top talent. To stay ahead.

And guess what? This hackathon was just the start. Next event? August 8, 2025. Bigger. Better. More disruptive. Location? Schloss Seeburg, Kreuzlingen.

Why This Matters for ERP Pros

  • AI makes ERP migration easier. The “Strike” team proved it. AI simplifies transitions to SAP S/4HANA. Less downtime. Fewer mistakes. No need for crazy IT expertise.

  • Automation = Productivity boost. Failer called it. AI can optimize workflows, reduce repetitive work, and improve decision-making. Companies need to jump in or get left behind.

  • AI solves real problems. Avalanche risks. Data migration. Robot assistants. This is not just hype. AI is reshaping how businesses operate.

Bottom line? AI isn’t coming. It’s already here. And it’s changing everything.

Meet Gen Matrix

Your go-to guide for GenAI innovation across industries.

Want to know who’s leading the AI revolution? We’ve got you covered.

  • Organizations – Early adopters putting Generative AI to work.

  • Startups – Innovators building AI hardware, infrastructure, and applications.

  • Leaders – The minds shaping the future of AI ecosystems.

Why Gen Matrix?

Because staying ahead matters. We break down the latest trends, insights, and breakthroughs—so you don’t have to.

👉 Click here for the report.