Apr 9 · 15 min read · You deployed a SageMaker notebook to prototype a model. A week later, your AWS bill has a $280 line item you can't explain. Sound familiar? SageMaker is one of the most powerful ML platforms on AWS — and one of the most confusing to bill for. Unlike ...
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Feb 14 · 10 min read · Last month, I watched a team spend three weeks debugging why their SageMaker training job couldn't access S3. The problem? Someone nested IAM conditions inside permission boundaries inside SCPs across two AWS accounts. Nobody could explain why anymor...
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Jan 17 · 5 min read · You've been building APIs, deploying containers, managing CI/CD pipelines... and now someone mentions "training a model" and suddenly everyone's talking about GPUs, Jupyter notebooks, and something called SageMaker. And you're like, wait. I thought w...
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Dec 5, 2025 · 5 min read · Dual-Pipeline Architecture: GPU vs CPU for High-Volume ML Inference Project Overview IndustrySaaS / ML Platform ChallengeSingle ML pipeline couldn't efficiently serve both small real-time requests and large batch jobs SolutionDual-pipeline ...
Join discussionSep 6, 2025 · 8 min read · Healthcare organizations are increasingly turning to machine learning to improve patient outcomes, reduce costs, and enhance operational efficiency. However, when working with protected health information (PHI), compliance with the Health Insurance P...
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Aug 25, 2025 · 3 min read · Running a business smoothly means having reliable accounting software that works without hiccups. Sage 50 is one of the most trusted names in financial management, offering robust tools for invoicing, payroll, inventory, and tax compliance. However, ...
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Jul 24, 2025 · 4 min read · Machine learning has become a cornerstone of smart decision-making in modern businesses. However, building, training, and deploying ML models at scale can be complex, time-consuming, and expensive. That’s where Amazon SageMaker steps in. This fully m...
Join discussionJun 8, 2025 · 5 min read · Preconditions To use the Amazon SageMaker Lakehouse with DuckDB, you first have to create a S3 Table bucket, a namespace and an actual S3 Table. All those steps are described in my other blog post “Query S3 Tables with DuckDB”, so please make sure yo...
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May 31, 2025 · 3 min read · In today’s rapidly evolving technological landscape, artificial intelligence (AI) systems are being adopted across industries at an unprecedented pace. However, as their capabilities expand, so too do the regulatory, ethical, and legal obligations pl...
Join discussionMay 28, 2025 · 4 min read · Introduction: Once upon a time, building a machine learning model meant typing intimidating code into jupyter notebooks while praying the gods of TensorFlow. But what if I told you there is a way to do it without writing a single for loop, installing...
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