Analyze

        Impact Sprint (Free)

  • Core Actions
    • Kickstarting your path to AI maturity
    • Identify high impact business case
    • Deep insights in your infrastructure
  • Requirements
    • Not required
  • Deliverables
    • Advice and documented roadmap
    • Insights in the methods for developing, implementing, and deploying machine learning and AI models in a fast and scalable way

Proof-of-Concept

  • Core Actions
    • Data gathering from front – to – end
    • Machine learning – ready infrastructure
    • Algorithmic proof of concept
    • Planning for Scaled Implementation
  • Requirements
    • Desire to start AI journey
  • Deliverables
    • Initial modeling results
    • Agile project plan

Build

Data Engineering (Business Intelligence)

  • Core Actions
    • Structuring your database
    • Focus on business users
    • Optimization of database environment
    • Identifying KPI’s
    • Insane Dashboarding
  • Requirements
    • (Semi) Structured data 
    • Business  problem
  • Deliverables
    • Innovative IT – infrastructure
    • Unique and persistent identifiers
    • Actionable BI 
    • Advice on and knowledge transfer on BI – tooling

(Un)Supervised Time Series

  • Core Actions
    • Modeling perfect for Infrastructure
    • Modeling beyond requirements
    • Data Streaming Pipeline
  • Requirements
    • Time series data (discrete / continuous)
    • (Weak) labels
    • KPI’s
  • Deliverables
    • Tensorflow / PyTorch model
    • Ready – to – Go repository
    • Reproducible Jupyter Notebook

(Un)Supervised Image Recognition

  • Core Actions
    • Modeling perfect for Infrastructure
    • Modeling beyond requirements
    • Data Labeling Pipeline
  • Requirements
    • Image data (discrete / continuous)
    • (Weak) labels
    • KPI’s
  • Deliverables
    • Tensorflow / PyTorch model
    • Ready – to – Go repository
    • Reproducible Jupyter Notebook

Deploy

Cloud Optimization

  • Core Actions
    • Selection of the optimal container hosting solution: managed vs unmanaged 
    • Latest Cloud security implementation
    • Reduction of the application cost by decomposing it into separate components (microservices architecture)
  • Requirements
    • Cloud subscription / Willingness to mix on-prem with cloud
  • Deliverables
    • Kubernetes dynamic cluster

Model Optimization

  • Core Actions
    • Model profiling
    • Optimization of model size
    • Optimization of inference speed
    • Optimization of performance metrics (Accuracy / F1 – score / FiD etc.. )
    • Porting to optimal environment, scaling
  • Requirements
    • Trained model checkpoint / frozen model
    • CPU / GPU / TPU (or other Application Specific Integrated Circuit)
  • Deliverables
    • Improved model
    • Deep model tests insights
    • Advice and knowledge of extension model scope

ML Pipeline Optimization

  • Core Actions
    • Constructing robust CI / CD for machine learning
    • Active Learning
    • AI Maturity roadmap
  • Requirements
    • Trained machine learning model
    • Methods for data preparation, model training and deployment have been defined.
  • Deliverables
    • Decrease of latency
    • Scalable horizontally and vertically
    • Provides efficient computation with regards to workload management
    • Supports batch and real-time processing

 

 Home                     News                 About us 

 Impact                   Contact

 

We’re Impact Analytics, a data science and machine learning development firm.

Ⓒ Impact Analytics 2020 | All rights reserved