Our vision: DevOps for ML
For AI to be successful it must be reproducible, accountable, collaborative and continuously delivered.
1. Reproducible
AI can't be productive or safe without reproducibility. This is hard in ML because it has many more variables.
2. Accountable
When models make critical decisions, they must be accountable for how they were made. Models without full provenance can fail compliance regulations.
3. Collaborative
For scalable ML teams you must be able to collaborate effectively to avoid confusion, rework and errors.
4. Continuous
You are not done when you ship. Models must be retrained and statistically monitored for drift.
Dotscience is made by Subtree inc, a subsidiary of https://www.linkedin.com/company/datadirect-networks/
Company Details
- Founded
- -
- Address
- 5 New Street Square, London,london Ec4a 3tw,united Kingdom
- Industry
- Information Technology & Services
- Website
- https://www.dotscience.com
- Keywords
- London.
- HQ
- London, London
Dotscience Questions
Dotscience's website is https://www.dotscience.com
Dotscience's LinkedIn profile is https://uk.linkedin.com/company/dotscience
Dotscience's industry is
Information Technology & Services
Dotscience's top competitors are
Coophive,
Clusterhq,
Eveai,
Tech.tickets,
Shieldfy,
Wenup,
Helix.ml,
Autodb Ltd.,
Myvaultai,
Helixml.
Dotscience's categories are Information Technology & Services
Dotscience's founding year is 2017
