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Advisory Services Random Trees - Enterprise AI Solutions

Key Stages of AI Journey

RandomTress Assist customers in various aspects of AI journey


1. Crack It

RandomTrees methodology helps in transforming data into features that better represent the underlying problem to predictive models

2. Prove It

RandomTrees methodology ensure models are developed in right approach using the most effective algorithms

3. Build It

RandomTrees AI Strategy guides on how to use the right metrics to maximize performance while preventing overfitting

4. Scale It

Our methodologies will help seamlessly moving "Minimum Viable Model" into production and operationalize

5. Track It

Our methodologies will help seamlessly moving "Minimum Viable Model" into production and operationalize

AI Awareness

RandomTrees assist organizations to develop AI mindset and assess AI maturity by department.
Services offered:​

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AI awareness workshop
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Customized Enterprise AI training for executive leadership and end users
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Proprietary enterprise grade training material​
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Industry specific AI application Demo’s
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Diagnostic tool to measure AI readiness index by organization or by department
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Shortlist Departments ready for AI

Use Case Generation

Design Thinking for AI Solutions

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.​


Key Aspects:​

  • Identify personas
  • Conduct user interviews, shadowing sessions to gain a deeper understanding of current state processes, pain points, systems, data, architecture, and opportunities
  • Conduct unique custom workshop series that engage cross-functional teams from the business and IT to generate ideas and explore use cases
  • RandomTrees unique design thinking approach helps to unlock user mind and generate ideas to solve problems using data driven insights

Use Case Prioritization

AI Qualifier


RandomTrees propriety AI qualifier helps to identify, rationalize and prioritize use cases
Key Steps:​


Key Aspects:​

  • Identify use cases  based on AI feasibility
  • Assess the business value and feasibility for each use case​
  • Prioritize based on value and effort dimensions using unique scoring techniques
  • Conduct SME workshops to finalize the use case​

Use Case Implementation Methodology

Project Delivery: 2-4-6 Method

Criteria for Evaluating Use-cases

  1. Business Sponsorship
  2. Validated Business Need
  3. Validated Need for “Machine Learning”
  4. Demonstrable in 90 Days
  5. Access & Availability of Data & SME
Project Delivery

Proof of Concepts / Proof of Value
<-- Positioning and Sponsorship 2 ~ 4 Weeks -->

Data Strategy

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



Data Curation

Data Curation


RandomTrees Data Engineers will help identifying data sources, verify, cleanse, transform and integrate datasets to make them ready for ML model consumption

Data Governance

Data Governance


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

Data Strategy
Data Lakes

Data Lakes
(Data Integration)


RandomTrees assists in powering new Insights with a high performing Data Lakes​



Data Management

Data Management


With its unique data strategy, RandomTrees will suggest and help to setup data platforms and tools to manage data

Data Strategy Platforms

As part of strategy development, RandomTrees assist with following:


  • Help to choose between open source vs vendor based platforms
  • Assist in choosing the right Hosting Strategy (on-premise vs. cloud)
  • Suggest overall data architecture & Big data ecosystem​


Big Data

Enterprise AI Strategy

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


Key components of Machine Learning


Engineering

Feature Engineering

RandomTrees methodology helps in transforming data into features that better represent the underlying problem to predictive models

Development

Model Development

RandomTrees methodology ensure models are developed in right approach using the most effective algorithms

Training

Model Training

RandomTrees AI Strategy guides on how to use the right metrics to maximize performance while preventing overfitting

Deployment

Model Deployment

Our methodologies will help seamlessly moving "Minimum Viable Model" into production and operationalize

Make AI work for you today

Contact our AI specialists to transform customer experience and optimize business processes

Free Consultation