Methodolgy
In order to implement a AI project, users will need a process to follow. At valuedate, we have implemented and end-to-end workflow to empower data scientist to become independent
Intelligence
Unlike typical software and data projects, AI/ML projects will need to be developed on production environments due to real data being needed to train models. We know how to do it
Production
AI Models have a decay process and will need to be retrained from time to time. MLOps implemented by valuedate will automate everything for you and pre-defined triggers will check accuracy to train a new version
Engineering Science
We dont developed rocket boosters and for sure we arent rocket scientists, but we know a few things about Data Engineering and how to apply it to Data Science
Technology
We work with all main cloud providers and data analytics platforms
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Snowflake
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Azure
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AWS
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Databricks
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GCP
Our Services
We provide 360º Data Services for your company. Our services and solutions allow businesses to be more reliable, flexible, and scalable. They help you understand the data available and how to communicate effectively with your business stakeholders.
- Data Engineering for Science
- Data Science
- Data Strategy
- Cloud Management
- DevOps
- MLOps
