ARTIFICIAL INTELLIGENCE CONSULTING SERVICES

AI Consulting Service Scope by ScienceSoft

Business analysis

• Definition and analysis of business needs to be pursued with an AI solution.

• Analysis of the existing AI environment (if any).

• Analysis of the existing data management practices established within the company, the currently used technologies and tools.

AI solution conceptualization and development project planning

• Outlining AI strategy and roadmap.

• Designing the architecture of the AI solution and creating the optimal tech stack for the AI project.

• Deciding on AI solution deliverables and KPIs.

• AI solution implementation planning, including costs and timeline estimates, risk management strategy outline, etc.

• AI solution PoC delivery (in case of complex projects).

Data preparation management

• Exploratory analysis of the existing data sources (data type, volume, etc.).

• Data gathering and cleansing (standardizing, replacing missing and deviating variables, anonymizing sensitive data) for training (re-training) ML models.

AI solution development (ML modeling)

• ML models exploration and refinement.

• ML testing and evaluation.

• Fine-tuning the parameters of ML models until the generated results are acceptable.

• Deploying the ML models.

ML output integration

• Development of application modules that use ML output.

• AI solution integration with the modules to feed the ML models and use ML output.

AI solution quality assurance

• End-to-end AI system testing.

• Evaluating the quality of AI solution output according to pre-defined KPIs.

AI solution support and optimization

• Continuous AI solution monitoring and optimization.

• Adding new data sources to feed the AI solution for greater accuracy and insight.

• Building new ML models to meet the newly arisen business needs.