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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

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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

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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

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Technology

We work with all main cloud providers and data analytics platforms

  • Snowflake
  • Azure
  • AWS
  • Databricks
  • GCP
Data

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
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