GE HealthCare Teams Up with Enlitic to Supercharge Medical Data Migration

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GE HealthCare Teams Up With Enlitic To Supercharge Medical Data Migration

GE HealthCare is making a big move. They’re teaming up with Enlitic to handle massive data migrations. This partnership is shaking up how healthcare deals with data.

Forget old-school migrations. This is about more than just moving files. It’s about transforming them.

“We’re setting a new standard,” said Michael Sistenich, Enlitic’s CEO.

Enlitic, along with its subsidiary Laitek, is bringing AI-powered tech to the table. Their system will help GE customers shift from outdated archives to cutting-edge enterprise imaging and PACS solutions like Datalogue and True PACS. The Ensight Suite will ensure the data is structured, standardized, and fully compliant.

The AI doesn’t just move data. It refines it. It streamlines access. No more digging through endless files for one scan. Everything is easier to find, whether for clinical care or research. Saves time. Saves money.

Scott Miller, GE HealthCare’s Enterprise Imaging CEO, sees this as more than just an upgrade. “We’re not just making things efficient. We’re changing how providers use their data,” he said. “This bridges the gap between old systems and AI-driven healthcare. Our customers stay ahead.” With this partnership, GE HealthCare and Enlitic are rewriting the rules of healthcare data.

No More Migration Headaches! Green Tech Marketplace Goes Automated

Back Market just pulled off a major cloud move. They shifted their Apache Kafka cluster from AWS to Google Cloud. And they did it fast. No data loss. No downtime. Just weeks instead of months.

Tomer Levy, Data Engineer at Back Market, was bracing for a long, complex migration. But with Aiven’s help, things ran smoother than expected. Kafka was crucial for their shift from a monolithic setup to microservices. The company needed a way to pull data from multiple sources and centralize it. Aiven’s automatic migration tool made that happen. Saved time. Saved effort.

Back Market: A Mission Beyond Tech

Based in Paris, Back Market isn’t just another e-commerce platform. They connect buyers with sellers of refurbished electronics. Laptops, smartphones, gaming consoles—over 200 product types. Since 2014, they’ve served 13 million customers in 18 countries. More than business, it’s a sustainability push. Buying a refurbished smartphone, for example, cuts e-waste by 89% and slashes carbon emissions by 91.6%.

Levy believes data is at the core of this mission. Efficient data handling fuels their analytics and machine learning. The goal? Build solid data pipelines. Gather information from various sources. Store it. Use it wisely. That’s where Kafka originally came in.

The Challenge: Moving Without Breaking Anything

The company’s CTO decided to ditch AWS for GCP. However, many of their operations were tied to Amazon’s cloud, including Kafka. Moving everything was no small feat. Worse, it had to be a hot swap—no downtime, no interruptions.

Levy described the complexity. Every network component had to connect seamlessly. Services communicating with Kafka before the move needed to keep working after. A single misstep could cause major disruptions. But Aiven’s automatic migration tool handled the heavy lifting.

Zero Downtime. No Panic. Just Results.

Aiven’s tool made it all straightforward. No downtime. A safety net to roll back if needed. Levy was impressed. Companies don’t switch cloud providers often, so having an out-of-the-box solution was a game changer.

Now, things are stable, the system runs smoothly, and Levy is happy with the move. There are no urgent feature requests; it's just a fully functional, efficient cloud setup.

His advice? Use a managed solution if you’re shifting to microservices with Kafka. The tech is complicated. There’s a lot to learn. Pre-built tools with strong monitoring and alerts make life easier. Having the right automation tools can also save a lot of time if a cloud migration ever becomes necessary.

Bede Gaming slashed costs and boosted efficiency with a seamless, game-changing data migration.

Bede Gaming just pulled off a massive migration. They moved from Azure’s Cosmos DB to MongoDB Atlas. Over a million customer records per minute. That’s no joke. But for CTO Dan Whiteley, this was just step one.

High Stakes, Big Moves

This wasn’t just about switching databases. This was about performance. About cost. About flexibility. “We call it being positively paranoid,” Whiteley says. Planning is crucial. But when it’s go-time, anything can happen.

His team kept both systems running at the same time during the switch. Sent data to both. Checked everything. Roll-back plan ready. The result? No performance loss. No downtime. Just a clean break from Cosmos DB.

MongoDB was a slam dunk. Half the storage costs. Same performance. More flexibility.

Who is Bede Gaming?

Part of the MERKUR Group, Bede is a powerhouse in online gambling software. They handle gaming for major brands—lottery, casinos, sports betting, and bingo. Billions of transactions per year. Open APIs. Custom tools. Seamless integrations with third-party software.

In short? A data-heavy business. Every bet. Every deposit. Every spin. Every click. It all gets logged, stored, and analyzed.

Why Move?

Three reasons.

Whiteley likes open source. Open standards. No vendor lock-in. He needed something that could deploy anywhere, including a private cloud for regulatory compliance. MongoDB fits the bill.

The Migration Hustle

This wasn’t all smooth sailing. Early issues popped up. Performance dipped. Turns out, Azure infrastructure was the culprit. Indexing got memory-heavy. NVMe SSDs fixed that.

And cost? At first, not cheap at all. They over-specced machines to rush the migration. Bad move for ROI. But once things settled? Costs dropped 50%.

What’s Next?

This was just step one. Now, Whiteley’s team is thinking bigger.

• Agility. Faster go-to-market times. More flexible deployments.

• Better data use. Personalization. Risk protection. More insights from player behavior.

• AI-powered marketing. Right now, marketing teams struggle with database queries. Can AI fix that?

Whiteley’s team is all in on MongoDB. They’ve done one migration. Now? They have a playbook. More moves ahead. More impact. And a whole new way to power the future of gaming.

Data migration used to be chaos. Slow. Painful. Not anymore.

At DataMigration.AI, part of Towards AGI, we’re flipping the script.

With Generative AI, transfers are faster, smarter, and seamless. No hiccups. No headaches. Just precision. Just speed. Exactly how it should be.

Thank you for reading

Shen Pandi & team