AI consulting services help companies automate and optimize business processes and make accurate predictions with AI-powered softwares. PRAGMA INTERNATIONAL facilitates the implementation of AI and provides a complete solution for non-IT organizations and software companies that do not have a technology department.
The scope of the Consulting Service is primarily focused on the implementation of IT solutions. PRAGMA INTERNATIONAL’s AI consulting services are tailored to the needs of each individual customer based on the customer’s business stage, the state of their data management practices, and the current state of AI.
Our AI services may include:
Business planning
- The definition of the business goal that should be pursued with an AI solution.
- A review of the existing AI landscape (if any).
- An analysis of the existing data management practices within the company, the currently employed technologies and tools.
The development of an AI solution is a project that involves the conceptualization and planning of a project.
- Discussing the strategy and roadmap for implementing AI.
- Developing the architecture of the AI solution and creating the most effective tech stack for the AI project.
- Selecting the deliverables and metrics associated with the AI solution.
- We will assist you in the planning of the implementation of an AI solution, including the costs and timeline estimates, the strategy for managing risk, etc.
- The company’s solution is a PoC that is delivered to clients (in the case of complex projects).
Data preparation management
- Data exploration is the process of identifying and analyzing existing data.
- Data collection and cleansing (standardization, replacement of missing and deviating variables, anonymizing sensitive data) for training (re-training) ML models.
The development of ML solutions (ML modeling)
- The process of modeling is the process of exploration and refinement.
- The company’s focus is on the development of software that is used to test and evaluate the performance of computer systems.
- Improving the parameters of ML models until the generated results are satisfactory.
- Implementing the ML models.
Integration of the output of the system
- The development of applications that utilize ML’s output.
- The integration of AI into the modules that feed the ML models and utilize the ML’s output.
- The effectiveness of the AI solution’s quality assurance is evaluated.
- Comprehensive testing of an AI system that includes all aspects of the system, from the beginning to the end.
- Evaluating the quality of AI solutions based on pre-defined performance metrics (KPIs).
We Provide AI-based Solutions and Optimization
- Continuous monitoring and optimization of an AI solution.
- Adding additional data sources to feed the AI solution will increase its accuracy and provide more insight.
- Developing new machine learning models to address the newly emerging business goals.
Our AI Services:
Data privacy
When creating AI-powered solutions, we utilize the three-pronged approach to effective data security:
- Accountability: Personal data is collected and processed only with the consent of the user.
- Advanced Security: To create a secure environment for data processing and storage, PRAGMA INTERNATIONAL incorporates security practices into the development process (DevSecOps).
- Compliance: AI-powered solutions are fully compliant with industry and legal requirements (HIPAA, GLBA, GDPR, etc.).
Accuracy
To ensure high data quality, we employ data engineers and scientists who employ a variety of tools to automate data validation, purging, duplication processes.
The value of the AI solution is guaranteed.
To ensure the sustainability of your future AI solution, the speed and quality of the AI-enabled insights, we:
- Begin an AI project with a demonstration of the concept, estimate its value, and discuss any concerns.
- Balance the transparency of the system with the accuracy of the output by utilizing a combination of white box AI models that have understandable relationships between variables and predictions and black box AI models that are based on deep learning algorithms that are not explainable by themselves.
- Evaluate the quality and effectiveness of the proposed solution against agreed upon quality metrics.