Our Process

Everything we do is designed to pave the way for business to benefit from advancements in data science. Our goal is to develop machine learning as a new core competency inside a client’s existing structures. Our process addresses both the technological and human factors involved in this transformational growth opportunity. It is designed to help senior leadership overcome the obstacles that often impede successful enterprise AI integration.

Discover

Design

Develop

Deploy

Machine Learning

Identify potential ML applications with high ROI

Assess ML project feasibility & prioritize applications into roadmap

Develop ML models

Deploy ML models

Data & Platform

Map, catalog and assess data quality

Define end state and create migration roadmap in sync with ML projects

Migrate data per roadmap, collect data for future ML projects

Deploy data feedback loop

Corporate Culture

Assess current state of corporate and functional group readiness

Create change leadership roadmap

Execute corporate change leadership program and manage functional 'hot spots'

Workforce

Data Scientists

Assess current state of data science resources

Create data science staffing roadmap

Staff and train data scientists per roadmap

Up-skilling

Train C-suite on development and deployment requirements

Train senior management on resource and risk management, data privacy

Train front line managers on ML project and team management

Train end users on AI tools and outcome validation

Re-skilling

Assess re-skilling history and current state

Create redeployment policy and re-skilling roadmap

Execute redeployment program per roadmap

Machine Learning

Discover

Identify potential ML applications with high ROI

Design

Assess ML project feasibility & prioritize applications into roadmap

Develop

Develop ML models

Deploy

Deploy ML models

Data & Platform

Discover

Map, catalog and assess data quality

Design

Define end state and create migration roadmap in sync with ML projects

Develop

Migrate data per roadmap, collect data for future ML projects

Deploy

Deploy data feedback loop

Corporate Culture

Discover

Assess current state of corporate and functional group readiness

Design

Create change leadership roadmap

Develop

Deploy

Execute corporate change leadership program and manage functional 'hot spots'

Workforce

Data Scientists

Discover

Assess current state of data science resources

Design

Create data science staffing roadmap

Develop

Deploy

Staff and train data scientists per roadmap

Workforce

Up-skilling

Discover

Train C-suite on development and deployment requirements

Design

Train senior management on resource and risk management, data privacy

Develop

Train front line managers on ML project and team management

Deploy

Train end users on AI tools and outcome validation

Workforce

Re-skilling

Discover

Assess re-skilling history and current state

Design

Create redeployment policy and re-skilling roadmap

Develop

Deploy

Execute redeployment program per roadmap