A lot of organizations successfully consolidated analytics into the Lakehouse.
But once teams start building operational AI on top of that data, the architecture gets complicated again — fast.
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Your systems are running. That doesn’t mean they’re working the way your business needs. Modernization risk shows up in outcomes (not uptime).
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327% multi-agent growth in four months. 12x more projects in production. Same platform. Same blueprint. The difference is the data foundation.
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Pre-labeling cut annotation time in half. The math surprised us too.
Average labeling time dropped from 11 minutes per image to 5.5 (high object density, frequent occlusions, live retail dataset). Throughput doubled per annotator, per day.
Same volume of labeled data. Fewer
Your autonomous system is making decisions at the speed of light. Your data pipeline is... not. Let's fix that.
Decision-as-a-Service explained. Download the Guide:
Regulators in 30+ countries can fine your organization for the inability to prove where your data lives.
Not for a breach. For the absence of proof.
SoftServe earned the @awscloud Digital Sovereignty Services Competency because that question is no longer theoretical. For one
The role of software engineers is evolving from execution to orchestration.
As agentic AI reshapes delivery, engineering teams will focus more on context, oversight, and innovation.
The future engineer will combine technical depth with the ability to guide intelligent systems.
The hardest part of AI is not adoption. It is attribution.
Leaders invest in AI, yet struggle to show where value is created and how it scales.
Through @awscloud BVR, SoftServe helps define that path — linking use cases to measurable impact and accelerating decisions on where to
The certainty syndrome isn't a failure of awareness.
It's a failure to update.
Approval chains, governance models, and funding cycles were designed for a world where the wrong decision costs you a year of work. Now it costs a sprint.
The math changed, but the process didn’t.
Insurance advisors at Ensight closed cases in two hours instead of four business days. ENSI, a conversational case designer built with SoftServe, kept work moving by replacing email intake with a chat-native workflow that knows carrier products.
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