Explore the AI development process
Step 1
Problem Identification & Goal – Review the current processes to identify existing inefficiencies and opportunities for AI help. Engage stakeholders to understand their requirements, ensuring alignment between the AI solution and the overall business objectives.
Step 2
Propose System & Architecture – The team proposes an optimal system design and architecture to meet those requirements. Gather relevant and high-quality data for training the AI model.
Step 3
Development & Integration – Seamlessly integrate the trained AI model into existing systems or applications, ensuring compatibility and minimal disruption. The project is rolled out to target areas of the business and KPIs are measured and evaluated for future improvements.
Step 4
Measurement & Improvement – Seamlessly integrate the trained AI model into existing systems or applications, ensuring compatibility and minimal disruption. The project is rolled out to target areas of the business and KPIs are measured and evaluated for future improvements.
Step 5
System Support & Monitoring – Implement continuous monitoring of the AI system in real-world conditions to identify performance issues or changes in data patterns. Establish metrics for evaluating the system’s success against defined goals.
Our AI Solutions
Model Development – Our top Al engineers can help you to develop state-of-the-art models leveraging open-source and our proprietary research. We’ll benchmark against your competitors’ models to make sure you are confident with our
services.
Application Development – If you want to build an end-user application that leverages Al-driven data
outputs and insights, BlueOC’s team will work with you through the entire project life cycle: From defining requirements, design, development, test, and release phases of the project to produce an application to solve your unique challenges.
Data Visualization – Use our data reporting and visualization skills to bring to light insights produced by your Al models and solutions. The team utilizes the latest data analytics and visualization tools to show business value produced by your project to key stakeholders in your organization.
MLOps/ModelOps – Our MLOps experiences help you to deploy, monitor, manage, and govern all your models in production, regardless of how they were created or when and where they were deployed.
Insurance Smart Claim
The client is currently facing challenges due to manual processes that contribute to extended claim processing times and increased costs. In addition, insurance providers must contend with fraudulent activity, as some customers submit false or exaggerated claims for car damage.
Smart Contract Issuance
Expanding in the crowded and competitive insurance terms can be tough for vehicle insurance firms. To gain a competitive edge, companies need to swiftly attract new customers while mitigating risks and preventing fraudulent claims.
Smart Valve Data Collection
Kaneko Sangyo Co., Ltd. founded in 1919, has been producing and supplying valves consistently. With a long year of experience and knowledge, Kaneko Sangyo has been producing a product that has a clear sense of purpose “a safety device to protect safe and placid life” one by one. From every standpoint, Kaneko Sangyo has been convincing that their products will continue operating as safety devices to protect our lives quietly day and night.
