Phases

1. Assessment: Evaluate current data infrastructure and AI readiness.
2. Planning: Develop a comprehensive data and AI strategy.
3. Implementation: Deploy data and AI tools and frameworks.
4. Optimization: Continuously improve AI models and data workflows.
5. Maintenance: Ongoing support for AI model performance and data management.

Deliverables:

1. Data and AI strategy roadmap.
2. Implemented AI models and data frameworks.
3. Training and documentation.

Client responsibilities:

1. Provide access to data and infrastructure.
2. Collaborate on AI use case identification and implementation.

Location

Remote / On-site.

SLA

Included with defined performance and security measures.

Includes project management

Yes, with planning and coordination.

Payment frequency

Project-based, monthly, or time and material.

Contract duration

1 year, 3 years, 5 years (against minimum commitment)