Generative AI-Powered Market Research

Conducting a Quick Tech Assessment

Identifying Appropriate Case Studies

Researching and Identifying Appropriate Use Cases

Extracting Relevant Information from Existing Documentation and Interviews

Identifying Your Best-Fit Use Cases

Additional Considerations for Generative AI Use Cases

Evaluating Existing Data Inventory for Efficacy and Efficiency

Reviewing and Assessing Existing Reference Architecture

Identifying Major Technology Gaps Via a Preliminary Technology Gap Analysis

Considerations for Foundation Models in Data Infrastructure

Defining, Segmenting, and Prioritizing Stakeholders

Gathering Requirements and Conducting Stakeholder Interviews

Reviewing and Assessing Executive-Level and Company-Wide Data Literacy Needs

Producing a Basic Process, Organization, Technology, and Information Model That Reflects Your Current State Organization

Assessing the Data Maturity of Your Organization

Conducting a Data Skills Survey and Audit

Evaluating Skill Set Needs for Managing and Fine-tuning Foundation Models

Conducting and Producing a Data Resources Audit

Assessing Infrastructure and Compute Costs for Foundation Models