RandomTress Assist customers in various aspects of AI journey
RandomTrees methodology helps in transforming data into features that better represent the underlying problem to predictive models
RandomTrees methodology ensure models are developed in right approach using the most effective algorithms
RandomTrees AI Strategy guides on how to use the right metrics to maximize performance while preventing overfitting
Our methodologies will help seamlessly moving "Minimum Viable Model" into production and operationalize
Our methodologies will help seamlessly moving "Minimum Viable Model" into production and operationalize
Design Thinking is an effective process for energizing organizational performance and there by create desirable innovative solutions by turning ideas into action, and to empower creativity
RandomTrees developed proprietary design thinking approach to generate AI ideas to address key business pain points.
RandomTrees propriety AI qualifier helps to identify, rationalize and prioritize use cases
Key Steps:
Criteria for Evaluating Use-cases
Proof of Concepts / Proof of Value
<-- Positioning and Sponsorship 2 ~ 4 Weeks -->
Modern data strategy is a roadmap to enable data driven decision-making and applications that helps an enterprise achieve its strategic imperatives
RandomTrees helps with core principles of data strategy
RandomTrees Data Engineers will help identifying data sources, verify, cleanse, transform and integrate datasets to make them ready for ML model consumption
RandomTrees data governance framework will help organizations to take care of the data it has, get more value from that data, and make important aspects of that data visible to users
RandomTrees assists in powering new Insights with a high performing Data Lakes
With its unique data strategy, RandomTrees will suggest and help to setup data platforms and tools to manage data
As part of strategy development, RandomTrees assist with following:
RandomTrees AI strategy and best practices helps organizations by establishing AI platform that enables users to seamlessly build, deploy, and operate AI/ML solutions at scale
RandomTrees methodology helps in transforming data into features that better represent the underlying problem to predictive models
RandomTrees methodology ensure models are developed in right approach using the most effective algorithms
RandomTrees AI Strategy guides on how to use the right metrics to maximize performance while preventing overfitting
Our methodologies will help seamlessly moving "Minimum Viable Model" into production and operationalize