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Todd Bernson

I lead enterprise AI product and architecture work, turning ideas into systems teams can operate. I write about AI agents, governance, platform engineering, and the decisions behind reliable delivery.

Location Charlotte, NC, USA Joined Joined on  Personal website https://bernson.info github website

Work

Chief AI Officer at BSC Analytics

MLOps for Voice Cloning: CI/CD and Model Management in an AWS Environment
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MLOps for Voice Cloning: CI/CD and Model Management in an AWS Environment

#aws #ai #machinelearning #mlops
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3 min read
Scaling an AI Voice Platform: Lessons in Performance and Cost Optimization on AWS
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Scaling an AI Voice Platform: Lessons in Performance and Cost Optimization on AWS

#ai #aws #kubernetes #machinelearning
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3 min read
Security in Voice AI: Safeguarding Cloned Voice Data and APIs with AWS Best Practices
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Security in Voice AI: Safeguarding Cloned Voice Data and APIs with AWS Best Practices

#aws #ai #machinelearning #kubernetes
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3 min read
The ROI of Voice Automation: Cost Savings and Efficiency Gains from Self-Hosted Voice Clones on AWS
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The ROI of Voice Automation: Cost Savings and Efficiency Gains from Self-Hosted Voice Clones on AWS

#aws #ai #machinelearning #kubernetes
Comments 1
3 min read
AI Voices in Healthcare: Ensuring Privacy and Compliance with AWS-Powered Voice Cloning
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AI Voices in Healthcare: Ensuring Privacy and Compliance with AWS-Powered Voice Cloning

#ai #machinelearning #aws #kubernetes
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3 min read
Voice Cloning for Financial Services: Revolutionizing Customer Engagement in a Secure AWS Environment
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Voice Cloning for Financial Services: Revolutionizing Customer Engagement in a Secure AWS Environment

#aws #ai #machinelearning #kubernetes
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4 min read
Beyond Polly: Custom Voice Cloning on AWS vs. Using Native AWS AI Services
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Beyond Polly: Custom Voice Cloning on AWS vs. Using Native AWS AI Services

#aws #machinelearning #ai #kubernetes
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4 min read
Terraforming the Voice: Deploying a Clone Application with Infrastructure as Code on AWS
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Terraforming the Voice: Deploying a Clone Application with Infrastructure as Code on AWS

#ai #machinelearning #aws #terraform
2
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3 min read
Architecting a Scalable Voice Cloning Platform on AWS: A Case Study
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Architecting a Scalable Voice Cloning Platform on AWS: A Case Study

#ai #aws #machinelearning #tts
2
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4 min read
Legacy, Meet Cloud Native: Lessons from Blending COBOL, K8s, and ML
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Legacy, Meet Cloud Native: Lessons from Blending COBOL, K8s, and ML

#community #machinelearning #kubernetes #cobol
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3 min read
Building a Smart Feedback Loop: Real-Time Inference on COBOL Logs
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Building a Smart Feedback Loop: Real-Time Inference on COBOL Logs

#community #machinelearning #cobol #kubernetes
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3 min read
Predicting Legacy Failures: Training and Hosting ML Models in SageMaker
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Predicting Legacy Failures: Training and Hosting ML Models in SageMaker

#community #machinelearning #sagemaker #cobol
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3 min read
Preparing COBOL Error Data for Machine Learning in SageMaker
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Preparing COBOL Error Data for Machine Learning in SageMaker

#community #json #machinelearning #kubernetes
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4 min read
From Mainframe to Microservice: Modernizing COBOL Data Processing
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From Mainframe to Microservice: Modernizing COBOL Data Processing

#datascience #kubernetes #machinelearning #community
1
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4 min read
Bridging Generations: Running COBOL on Kubernetes with EFS
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Bridging Generations: Running COBOL on Kubernetes with EFS

#kubernetes #efs #legacy #community
1
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5 min read
When COBOL Fails: Real-Time Error Management with S3 and JSON
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When COBOL Fails: Real-Time Error Management with S3 and JSON

#community #ambassador #machinelearning #sagemaker
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4 min read
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