watch ideas come to action and your business processes improve
our offering
work very closely with our Data Science teams as we solve for better while building and deploying ML models on the cloud
your use cases, your model, your experiments, supported by our technical effort
implement
AI Pilot Strategy
- helping you pick the appropriate use cases and models to test on your choice of public cloud & defining the success criterias
- implementing the cloud building blocks to test your workloads
- performance tuning & architectural guidance on cost and scale optimization
AI enablement workshops
- data extraction: select and integrate data from relevant sources
- data analysis: exploratory analysis to understand schema, etc
- data preparation: clean and prepare the data for model consumption
- model training: experiment with different algorithms
- model evaluation: select the most relevant machine learning models
- model validation: train and deploy the best model on the cloud
- serving to production via rest API or as an embedded model or part of a batch pipeline
AI Strategy & Futurify workshops
Every Machine Learning model requires rigorous hyperparameter testing to push it to the accuracy to its highest possible value. Let our Data Scientists
- design experiments to increase accuracy
- run experiments in a structured way
- collect and analyze results
engagement approach
Our custom workshops and/or one time pro-serv engagements allow us to meet you where you are. Typical process involves:
workshops/project based implementations
To get you started or implement a model through hands-on technical support.
cut-over and post go-live assistance
Achieve seamless implementation and get your teams trained for post go-live success.
expertise
let’s connect
We help you embrace change by creating newer
ways to work or optimising existing processes.