AI Roadmap 3 week assessment

Depending on your organization’s Strategic priorities, Analytics maturity and Data readiness, there are varying priorities and needs to be tackled.

A PRE-STUDY will serve as a basis for identifying and structuring analytical applications and use cases against your business needs and priorities.

Example use-cases include:

• Predictive maintenance
• Workforce planning and optimization
• Advanced demand forecasting processes
• Pricing and promotion optimization
• AI assisted intelligent process automation
• Assortment and space optimization
• Customer/employee attrition risk forecasts
• Service network optimization

Based on the business needs, we evaluate your data and technology readiness against business priorities and analytical use-cases. As a result, you'll receive concrete recommendations and a roadmap how to get started with or extend the use of Microsoft Azure solutions for applied AI.

DEFINING AND CONCRETIZING A ROADMAP FOR APPLIED ANALYTICS AND AI:

Week 1: BUSINESS & STAKEHOLDER NEEDS AND GOALS KEY ACTIVITIES:

• Reviewing strategic priorities and business objectives
• Mapping of key business processes and decision-making needs
• Identifying challenges and opportunities for improvement
• Co-creation of potential use-cases for applied analytical, predictive and mathematical optimization capabilities

Week 2: TECHNOLOGY & DATA READINESS EVALUATION KEY ACTIVITIES

• Review of IT landscape and Data Infrastructure
• Data availability and usability assessment
• Data & Technology readiness evaluation against identified business priorities and analytical use-cases

Week 3: DELIVERABLES KEY ACTIVITIES

• Listed business objectives and priorities
• Documented key business processes and decision-making needs
• Data availability and usability report
• Data & technology readiness evaluation report
• Prioritized list of use-cases for applied analytics and Artificial Intelligence
• Recommendations and roadmap for moving forward