AI Framework – from governance to security and execution.
Nine layers for running AI safely: a framework for architects Most AI projects don’t fail because the model was wrong. They fail because nobody could say…
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Projects in the Cloud should be self-financing
Instead of large firms spending absurd money on external parties to implement a system, or provide ‘consultancy’, against a fixed hourly rate and m…
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AWS Glue Use Case examples
AWS Glue can serve a wide array of data engineering use cases. Loading Data To The Data Warehouse: One of Glue’s earliest and most popular use cases is loading…
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Cloud Rehosting, Replatforming, Refactoring
CLOUD REHOSTING Rehosting essentially just moves your organization’s applications to the cloud platform as-is and is often called a “lift and shift” migration.…
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Quick overview of the 3 main Public Cloud Hyperscalers
A quick overview of AWS, Azure and Google. AWS offers over 200 fully-featured services from its global spread of data centers. Notable customers include BMW, N…
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10 key Architectural Principles that should drive Architectural Target Models and Deployment.
10 key Architectural Principles that should drive Architectural Target Models and Deployment. 10 key Architectural Principles that should drive Architectural T…
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Cloud Hyperscaler Platform Service Comparison
Introduction Comparison of key services in the Public Cloud Broadly accurate. Many services not included but a good overview comparing the 3 major ‘Hyperscaler…
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Pros and Cons of going Cloudy
Author: Kurt Marko, Marko Insights Original: https://searchcloudcomputing.techtarget.com/tip/Explore-the-pros-and-cons-of-cloud-computing Sept 2 2020 Edited, S…
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