Enterprise Data Science
Carlo CarandangData Science for large organizations and government agencies
| Platform |  | Pricing | Only free issues | Publishes | Weekly |
|---|---|---|---|---|---|
| Issues | 66 | Subscribers | Read | carlocarandang.substack.com |
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Latest Issues
Recent posts by this newsletter. Browse the email archive.
Requesting Resources for Building Data Science Capacity
As the lead data scientist for your newly formed data science unit, your organization is at a pivotal moment. Your unit was created with a broad mandate to build data science capacity, centralize data science activities, establish cloud/on-...
The MLOps Way: Utilizing the 3 Pipeline Design and Production REST API
The 3 pipeline design, first coined by Pau Labarta Bajo, is great for laying the foundations of a complete AI system, where the required pipelines include the feature, training, and inference pipelines, sitting on top of a feature store and...
Bridging the Gap: From AI Prototypes to Scalable AI Solutions
In the journey from developing AI prototypes to deploying scalable AI solutions, large enterprises often face significant challenges. These challenges highlight the need to address gaps in MLOps, containerization, and cloud infrastructure t...
The Data Science Hierarchy of Needs and Its Relation to the Data Science Lifecycle
(image by Carlo Carandang)1
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Authors
The writers behind this newsletter.
AI Strategist, Senior Data Scientist, and ML Engineer focused on designing, building and maintaining complete AI/ML systems for large enterprises
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