What we do:

  • Advisory in machine learning and its relevance in the business.
  • Training to implement machine learning solutions.
  • Design of a machine learning model to solve the established problem.
  • Implementation and integration of a machine learning solution that solve the established problem.
  • Deployment and monitoring of the solution implemented.
  • Revision of the benefits obtained and implementation of a continuous improvement plan.

What we get:

  • Reduce costs of the production and business processes affected.
  • Discover new opportunities of business previously hidden in the data.
  • Reduce risk associated with the implementation of machine learning solution.
01.

Advisory and consulting.

Business analyst – Solution architect – Software architect – Technical researcher – Project manager

Activities

  • Business goals understanding
  • Technincal consulting
  • Research state of the art
  • Project scoping
  • Solution design

Deliverables.

  • NDA
  • Use cases
  • Project plan and scope
  • PoC proposal
  • Training 
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02.

Data analysis and discovery.

Data miner / scientist – Client database admin – Client subject matter expert

Activities

  • Collect initial data
  • Establish data appropriateness
  • Clean, integrate and format data
  • Model prototyping

Deliverables.

  • Data structure
  • Data preparation report
  • Initial baseline report
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03.

Solution research.

Data miner / scientist – Business analyst – Project manager

Activities

  • Model building
  • Model evaluation
  • Model iteration
  • Establish further steps

Deliverables.

  • Minimum viable product
  • Model source code
  • Model progress report
  • Model structure report
  • Suggestion for future actions
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04.

Integration.

Software architect – Solutions specialist – Data miner / scientist – Developers – UX lead – Project manager

Activities

  • Integrate with data sources
  • Downstram integration
  • Code packaging
  • UI development
  • Testing

Deliverables.

  • Integration plan
  • Flow diagram
  • Database schema
  • Source code
  • Builds
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05.

Deployment.

DevOps – Delivery manager – Cloud engineer – Project manager

Activities

  • Provisioning (AWS, Gcloud, Az)
  • Rollout planning
  • Prepare ongoing maintenance
  • Deploy solution

Deliverables.

  • Rollout execution
  • Report on deploy analysis
  • Report on future steps
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06.

Maintenance and updates.

Technical support – Developers – Release manager – DevOps – Cloud engineer – Project manager

Activities

  • Monitor performance
  • Manage system configuration
  • Manage system capacity
  • Manage system availability
  • Manage updates
  • Manage security
  • Requirement gathering
  • Backlog priorization

Deliverables.

  • Bug fixes
  • New feature scope
  • Ticket response
  • Upgrades to system
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See our
pricing model

see pricing model

technologies used

see technologies

Talk to us.

Get in touch with the team to see how we can help you.