AI & ML Solutions
AI and ML solutions are game-changers in the digital transformation journey. The Open Insights Data-driven AI solutions enable businesses to stay relevant by understanding markets, customers and evaluate market trends. These solutions are built for cost efficiency by leveraging open source and scalability to Data into an asset.
Open
Architecture
Open APIs to ensure that adding, upgrading, and swapping components is simple and accessible by all stakeholders
Test Priority
Inserting test plans in models by default, rather than bringing them as late addition
Collaboration
Exploratory Data analysis as a transparent collaboration between Open Insights and your organization
Thoroughly Iterative
Exhaustive iterations through complete cycles, including Data-driven hypotheses and actions
to build AI/ML
-
1
Phase 1: Assessment
-
Assessing the existing technical set up
-
Determining the organizational needs
-
-
2
Phase 2: Feasibility study
-
Research on applicable datasets in terms of Data volume and set of fields
-
Testing different ML models, algorithms, libraries
-
-
3
Phase 3: Building PoC
-
Selecting most fitting dataset, model and model parameters
-
Preparing ML model for a simulation with accurate Data
-
Detailing on integration approach
-
-
4
Phase 4: Going live
-
Preparing and integrating a production-ready ML model
-
Optimizing the model with new production Data and parameters
-
-
5
Phase 5: Support
-
Support and continuously enhancement
-
Efficiency monitoring
-
Principles
-
1
Establishing Business Context
-
Understanding business and Data requirements
-
Pinpointing quantifiable project goals
-
-
2
Data Engineering
-
Collecting external and internal Data
-
Contextualization
-
Developing a Data lake
-
-
3
Deploying The Model
-
Model stabilization and enhancements
-
Thorough testing
-
Comparing outcomes with project goals
-
-
4
Ensuring Adoptions And Model Improvements
-
Enabling self-learning models
-
Maintaining system resilience
-