Advanced AI Algorithms Data Analysis Platform
Harness advanced AI algorithms with our AIoT platform for AI image recognition, AI prediction, and scalable automation solutions.
Business Challenges We Solve
Data Overload & Complexity
Process vast amounts of data efficiently with advanced AI algorithms.
Image & Object Recognition
Leverage AI image recognition algorithms for accurate visual analysis.
Predictive Analytics
Improve decision-making with AI prediction algorithms for trend forecasting.
Healthcare AI Solutions
Enhance diagnostics and monitoring with AI algorithms used in healthcare.
Scalable AI Development
Build AI solutions using open-source frameworks for flexibility and cost savings.
AIoT Integration
Optimize automation with a powerful AIoT platform for smart industries.
AIoT Platform: Driving Intelligent Data Analysis
Data Collection
Achieve multi-source platform data integration, breaking down information silos across business systems to provide a unified data output for upper-level computational applications.
- Data Source Integration: Acquire data from various sources such as databases, APIs, and files; supports batch SQL/Excel file imports with automatic data reading.
- Data Cleaning: Clean and transform data by handling missing values, outliers, and other inconsistencies.
- Data Integration: Consolidate data from diverse sources into a unified platform.
Data Standardization
Provide standardized data in a unified format for business systems.
- Data Format Unification: Convert data from various formats into a consistent format to facilitate subsequent processing.
- Data Quality Management: Ensure the accuracy, completeness, and consistency of data.
Algorithm Configuration
Flexible algorithm configuration to meet diverse data processing needs (Python, R, MATLAB).
- Algorithm Model Configuration: Select suitable data analysis algorithms based on business needs, offering customizable configuration for algorithm model parameters and processes.
- Custom Approval Workflow Configuration: Support custom approval workflows, allowing configured algorithm models to be released to the model library post-approval.
Compute Power Scheduling
Ensure effective hardware utilization by prioritizing and managing dependencies to maximize resource usage.
- Public Cloud Compute Scheduling: The platform architecture supports scientific algorithm scheduling and elastic expansion of hardware resources, reducing server resource procurement costs.
- Private Cloud Elastic Expansion: Operate within public cloud servers or self-hosted data centers without relying on public cloud elasticity services.
Data Analysis
A variety of BI analysis tools to meet diverse data analysis needs.
- Data Mining: Utilize data analysis techniques to uncover hidden information and patterns within data.
- Data Modeling: Develop various data models for tasks such as prediction, classification, and clustering.
Data Reporting
Meet multi-industry data reporting requirements with customizable report templates.
- Report Generation: Produce structured data analysis reports to present insights and findings.
- Report Customization: Tailor industry-specific reports in various types and formats based on user needs.
Permission Configuration
Support granular permission configuration management for various roles.
- User Permission Management: Manage access rights to data and features for different users.
- Data Access Control: Regulate user access to various datasets.
Project Management
Offer two management approaches tailored for end users.
- SaaS-Based Management: Provide a SaaS version for open management services, offering greater flexibility and efficiency.
- Private Deployment Solution: Support rapid deployment within hours, with optional hardware support available.
Benefits from ZedIoT AI Algorithms Platform
Architecture of AI Algorithms Data Analysis Platform
AI Algorithms Used in Healthcare and Industrial Applications
Smart Campus
- Data Research: Use cloud computing and AI to integrate with education.
- Data Analysis: Create a platform for universities that integrates with academic.
- Data Reporting: Visualize findings into data reports for scholarly review.
Smart Campus
Wind Power
- Equipment Health Monitoring: Real-time monitoring and predictive maintenance.
- Wind Resource Optimization: Optimize resource allocation with data analysis.
- Operations and Maintenance Optimization: Enhance management and reduce costs.
Wind Power
Smart Manufacturing
- Predictive Maintenance: Anticipate failures to enable precise and preventative maintenance.
- Production Optimization: Use data platforms to enhance production processes.
- Supply Chain Optimization: Leverage data analysis to improve supply chain management.
Smart Manufacturing
Smart Building
- Energy Management: Monitor consumption, identify waste, and optimize usage for savings.
- Load Analysis: Forecast cooling, heating, electricity, and gas loads with predictive algorithms.
- Gain Analysis: Develop strategies to maximize returns through multi-source data analysis.
Smart Building
Smart Logistics
- Route Optimization: Use data to optimize delivery routes, reducing costs and boosting efficiency.
- Real-Time Monitoring: Track cargo in real-time to ensure safety and timely delivery.
- Demand Forecasting: Predict customer needs to adjust logistics plans proactively.
Smart Logistics
Smart Retail
- Marketing Optimization: Understand consumer behavior for targeted marketing.
- Inventory Management: Use data to predict demand and optimize stock levels.
- Price Optimization: Analyze market and competitor data for competitive pricing strategies.
Smart Retail
Smart Healthcare
- Personalized Medicine: Create tailored treatment plans with data analysis.
- Disease Prediction: Use big data to forecast disease trends for timely responses.
- Resource Optimization: Optimize healthcare resources through data analysis.
Smart Healthcare
Advanced AI Algorithms for Precision and Automation Business Goals
Cost Reduction
The platform uses low-code technology and standardized data management to streamline operations, reducing repetitive tasks., increasing business efficiency.
Business Objectives
The SaaS-based management model enables businesses to expand and overcome bottlenecks. By analyzing customer data and preferences, it enhances responsiveness.
Data Security
The platform incorporates various data security mechanisms to ensure comprehensive data protection, from platform to business layers. It also offers private deployment services.
Decision Making
The platform provides real-time data analysis, offering management decision support and enabling timely strategy adjustments. Predictive analytics help businesses forecast market trends.
Success Cases Study
AI Algorithms Used in Healthcare
The client, a biostatistics service provider, specializes in statistical support for clinical research, including strategy consulting, trial support, data management, and statistical analysis. They aim to build an efficient algorithm platform to streamline clinical data management and meet the statistical monitoring needs of the healthcare industry.
AI Prediction Algorithms Used in Energy
Our wind power algorithm analysis platform integrates turbine, blade, and tower monitoring data. Using advanced algorithms, it enables fault prediction, performance optimization, and data visualization, boosting efficiency and reliability in wind farm operations.
AI Prediction Algorithms Used in Engineering
The Smart Civil Engineering Monitoring System collects data from monitoring instruments via the cloud, enabling lifecycle management for high-rise buildings, bridges, and mountains. It tracks displacement, settlement, stress, and tilt. The platform's algorithms enhance data traceability, reduce labor costs, and foster large-scale client collaborations.
AI Algorithms Used in Healthcare
Medical Device Data Terminal Analysis Tool
The Medical Device Data Terminal Analysis Tool processes raw data from sensors and optical instruments using algorithms for visual, digital signal, and statistical analysis. It runs as standalone software and supports remote access and result visualization via B/S architecture, enabling real-time monitoring and analysis.
More AI Development Service We Offer
Custom AI Model Training Services
Tailored edge computing and custom AI model training services, covering image recognition, voice processing, algorithm development, and cloud or edge AI deployment.
AI Image Analysis and Processing
Using AI and deep learning, we provide AI platforms and ML services for image recognition and analytics solutions, delivering enterprise-level image processing and analysis software.
AI Agent Development Services
We develop and custom advanced products or ai applications using Large Language Models (LLMs), guiding you from concept to deployment with dedicated support at every step.