AI Readiness Assessment

Many organizations see how AI can impact their business but are struggling with the correct way to get started. The foundation of most AI implementations is data, whether it be internal corporate data or external/third party data. Because data is the foundation, it is imperative the data is correctly sourced and formatted for the AI requirements.

Datavail's AI roadmap definition:

• A consultative and advisory service entrenched in technology, people, and process
• A fined-tuned service and flexible solution with several successful engagements under our belt
• Solves a business problem and delivers business value that can scale
• Includes Datavail developed accelerators
• Aims to be customer centric leveraging the leading AWS services such as Bedrock to quickly ideate and show demonstrable value with effective and transparent models
• Delivered as an “outcomes” based solution with measurable progress and business alignment

The roadmap definition process will assess your current state with respect to data and technology components, conducts a fit-gap analysis against the desired future-state and lays out a detailed technical architecture for AI adoption along with estimated times, budgetary estimates and a prioritized list of tasks/initiatives in order to achieve the recommend future state.

AI roadmap which includes the following:

• Technical architecture for AI use case

• Prioritized list of tasks/initiatives in order to adopt the future-state platform

• Estimated timeline

• Estimated budget

• Executive presentation to client stakeholders

Additionally, Datavail can assist in the AI adoption journey by providing implementation services using its global delivery model.

Our implementation process typically follows the iterative process described below:

• Problem Definition and Goal Setting - based on Client provided use case
• Define Data Collection and Preparation needs
• Conduct Initial Exploration and Analysis
• Recommend Model Selection and Development
• Perform Evaluation and Validation
• Perform Iteration and Refinement as needed
• Perform Deployment Planning
• Develop Presentation and Feedback
• Complete Documentation and Reporting
• Plan for subsequent iterations as needed