Applied AI

Discovering AI use cases that are transforming industries in Malaysia

Faster, More Accurate Diagnostics: AI enables quicker, more precise disease detection, reducing errors in pathology reports.
Improved Efficiency: Streamlines workflows, freeing up medical staff to focus on critical cases.
Cost and Time Savings: Reduces diagnostic turnaround times by 50% and operational costs by up to 30%.
Enhanced Productivity: Automation boosts staff productivity and responsiveness in healthcare settings.
Better Patient Care: Faster diagnoses lead to timely treatments, improving overall patient outcomes.

Time-Saving Documentation: AI automates medical documentation, freeing up more time for patient care.
Multilingual Support: Enables communication with diverse patients by supporting multiple languages and specialties.
Seamless Integration: Works with EMR systems to streamline workflows and reduce administrative tasks.
Enhanced Decision-Making: Provides differential diagnoses and care recommendations to improve treatment accuracy.
Voice-Powered Efficiency: Captures notes via voice during consultations or ward rounds, speeding up documentation.
Seamless Integration: Works with EMR systems to streamline workflows and reduce administrative tasks.

Reduced Traffic Congestion: AI optimizes green light timing, ensuring smoother traffic flow and shorter travel times.
Enhanced Safety: Real-time monitoring and automated violation detection improve road safety for all users.
Eco-Friendly Solutions: Efficient traffic management reduces fuel consumption and carbon emissions.
Faster Incident Response: AI-powered systems enable quicker reactions to accidents or disruptions, improving emergency response.
Data-Driven Improvements: AI analyzes traffic patterns to support better urban planning and long-term solutions.

Automated Traffic Monitoring: AI-powered computer vision tracks and classifies vehicles, providing real-time traffic and congestion data across highways.
Improved Toll Efficiency: AI-based Automatic License Plate Recognition (ALPR) and vehicle classification replace manual processes, speeding up toll lane operations.
Enhanced Traffic Management: Automates data collection and analysis, enabling better traffic flow and reducing congestion.
Cost Reduction: Minimizes the need for manual labor in toll systems, reducing operational costs.

Improved Urban Mobility: AI enhances the efficiency and reliability of public transportation, reducing travel times and congestion.
Enhanced Safety: Autonomous driving solutions powered by AI reduce human error, making transportation safer for passengers.
Sustainability: AI-driven electric buses cut carbon emissions, contributing to a cleaner environment.
Cost Efficiency: Optimizes fleet operations and reduces operational costs for public transit systems.

Enhanced Safety and Security: AI improves road safety and threat detection through real-time insights and proactive monitoring.
Efficient Investigations: Accelerates analysis of incidents and video evidence for quicker resolutions.
Actionable Insights: Extracts valuable data to inform better decisions and optimize operations.
Data Integrity: Ensures secure and tamper-proof handling of vehicle and video data.

Empowered Industrial Knowledge: AI makes decisions based on real-world experiences
Boosted Efficiency: Improves productivity and reduces time spent on research and analysis
Insights Discovery: Identifies new patterns, trends, and potential solutions
Reduce errors: Minimises human errors and improves accuracy and quality

Timely detection: Allows farmers to detect brown planthopper infestations early on.
Informed decision-making: Provides farmers with the information they need to make informed decisions about pest control measures.
Reduced crop losses: Helps to prevent significant damage to rice crops caused by brown planthopper infestations.
Minimised pesticide use: Reduces the need for excessive pesticide applications which is beneficial for the environment and human health.