GEN AI IMplementation
Assessment and Goal Definition
Identify and document the specific needs, objectives, and constraints of the project. Goal is to establish clear, measurable goals for what the AI solution is expected to achieve. Understanding what stakeholders expect from the final product or system is crucial.
Feasibility & Strategy
Develop a strategic plan outlining the generative AI model selection, training approach, resource allocation, and deployment strategy tailored to the project’s goals. Deliverables are strategic roadmap detailing the AI implementation timeline, required resources, and major milestones
Gen-Ai Design and Development
Choose appropriate AI models and algorithms based on the project’s specific needs. Train the AI model using the prepared data, continually validating and tuning to improve accuracy. Detailed specifications and architectural designs for the solution are crafted, followed by its development using a fine-tuned model, ensuring its alignment with the client’s unique requirements.
Model Testing and Validation
Test the AI model in a controlled environment to evaluate its performance against predefined criteria. Rigorously test the generative AI solution, improving it through iterative cycles to ensure better output quality and minimize biases.
Integration, Deployment & Optimization
Seamlessly integrate the AI solution into the existing IT environment, ensuring compatibility and minimal disruption. Roll out the AI solution in phases to monitor its impact and performance in real operational settings. Optimize the solution over time to adapt to new challenges, changes in the business environment, or advancements in AI technology
Measure & Continuous Improvement
Expand the AI solution across other areas of the organization to increase its impact and value. Establish a continuous feedback loop with stakeholders to refine and enhance the AI solutions. Encourage ongoing innovation by exploring new use cases and advancements in AI that can further benefit the client.