Insights
Stay ahead of trends and techniques in data analytics and AI-ML from our densely certified team of engineering leaders, including 4 AWS Ambassadors along with experts on every cloud and data platform.
Beyond Polly: Custom Voice Cloning on AWS vs. Using Native AWS AI Services
By Todd Bernson, CTO of BSC Analytics, Voice Architect, and Guy Who Politely Declined Polly’s Help Because He Could Do It Better Himself
Terraforming the Voice: Deploying a Clone Application with Infrastructure as Code on AWS
Terraforming the Voice: Deploying a Clone Application with Infrastructure as Code on AWS
By Todd Bernson, CTO of BSC Analytics, Terraform...
Read more
Empowering Engineers with AI: A CTO’s Playbook for Responsible Innovation
Introduction
Software engineering isn’t being replaced—it’s being rearmed. With AI, our engineers aren’t losing control; they’re gaining...
Read moreArchitecting a Scalable Voice Cloning Platform on AWS: A Case Study
If you've ever found yourself staring at a whiteboard trying to connect the dots between AI workloads, secure infrastructure, and scalability, welcome to...
Read moreLegacy, Meet Cloud Native: Lessons from Blending COBOL, K8s, and ML
Introduction
When people talk about modernization, they often picture “lift and shift,” total rewrites, or big-bang digital transformation. But...
Read moreBuilding a Smart Feedback Loop: Real-Time Inference on COBOL Logs
Introduction
Modern data pipelines don't stop at processing—they evolve. With our eks_cobol system running legacy COBOL code on...
Predicting Legacy Failures: Training and Hosting ML Models in SageMaker
Introduction
Legacy systems are infamous for failing silently—or catastrophically—with no early warning signs. In our eks_cobol...
Preparing COBOL Error Data for Machine Learning in SageMaker
Introduction
COBOL and machine learning may sound like opposites—one was born in the era of punch cards, the other in the age of GPU clusters....
Read moreWhen COBOL Fails: Real-Time Error Management with S3 and JSON
Introduction
In any system that processes large volumes of data, failure is inevitable. And when you're running legacy COBOL applications as part...
Read more