Machine Learning Products
ML Factory is a machine learning consultancy/advisory with a focus on building high quality commercial production grade machine learning systems. Our consultants have built products such as:
- SAS Airline Recommendation engine (award winning)
- ICA retailer recommendation engine
- Marakanda marketing engine (game changing startup in Telco marketing)
- Telenor/Trafikverket traffic estimator from network data
- McDonald's dashboards
Examples of what we can help you with:
- Do you even need machine learning to begin with?
- When do you need a researcher and when do you need an engineer?
- Building cost effective machine learning products that suit your needs
- MLOps (https://en.wikipedia.org/wiki/MLOps)
- Cloud architecture, data science, data engineering, AI (artificial intelligence), software engineering
- SAS Airline Recommendation engine (award winning)
- ICA retailer recommendation engine
- Marakanda marketing engine (game changing startup in Telco marketing)
- Telenor/Trafikverket traffic estimator from network data
- McDonald's dashboards
Examples of what we can help you with:
- Do you even need machine learning to begin with?
- When do you need a researcher and when do you need an engineer?
- Building cost effective machine learning products that suit your needs
- MLOps (https://en.wikipedia.org/wiki/MLOps)
- Cloud architecture, data science, data engineering, AI (artificial intelligence), software engineering
- Which platforms to choose? Build your own? (Cost and performance and complexity trade-off considerations)
- Cloud/on-premise/hybrid?
- Cloud/on-premise/hybrid?
- Feasibility assessment
- Scoping, time assessment, project expectation estimations
- Data collection strategy
- Labeling/ground truth strategy
- Labeling/ground truth strategy
- Recruiting (DS/ML/DE/AI)
- Upskilling
- Privacy aspects
- Anonymization
We can provide consultancy for junior, senior, expert, and lead roles. We have experience with multiple cloud platforms, but AWS in particular.
We can provide consultancy for junior, senior, expert, and lead roles. We have experience with multiple cloud platforms, but AWS in particular.
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