Aralia’s Journey at the UN Future Summit
Aralia Heads to the United Nations: CSO Allen Invited to the Future Summit. and commits to empower data equality.
Media
Perfect Corp faced challenges in keeping up with frequent updates and processing large volumes of data in their AI-powered photo editing app. To address this, they implemented BONA, a real-time streaming video data platform. BONA allows non-SQL users to view result charts using a drag-and-select method, converting key-value semi-structured data into structured data in real-time. The system processes up to 3 million records per second, supports cluster and time-series queries, and enables users to drill down into individual user profiles. BONA facilitates rapid data dimension inspection, validation, and automatic cleaning of anomalous data, compressing data to one-seventh of its original volume. The results include dynamic real-time data with a transmission rate of 300,000 events per second, handling over 20 billion events daily, and a monthly data volume exceeding 5TB.
Public Sector:Real-time Streaming Video AI Solution
Certis, a leading auxiliary police force in Singapore, sought to enhance airport safety by implementing AI and big data analytics for real-time traffic monitoring. Challenges included infrastructure setup, data quality for modeling, and operational scalability. The solution involved a real-time video streaming platform, predictive models for 5 and 15-minute traffic forecasts, and analytical reports for strategic decision-making. The results included improved traffic management, optimized staff deployment, and reduced passenger wait times based on historical data insights.
Public Sector: Civil IoT Taiwan
The Taiwanese government’s Civil IoT project focuses on creating a digital infrastructure for environmental sustainability and resilience. Overcoming challenges of data silos and quality, the National Center for High-performance Computing, with BigObject collaboration, implemented a reliable data platform. The transformation includes standardized data formatting, enabling cross-dataset analysis, and real-time processing within seconds. Continuous data quality assessment is ensured through monitoring reports, marking a significant improvement from inconsistent formatting and lack of real-time processing in the initial phase.
Public Sector: Transportation
The Ministry of Transportation and Communications (MOTC) faced challenges managing massive data from various platforms. With 100 billion records annually, poor speed and analysis inefficiencies hindered real-time data provision. They required a solution for consolidating diverse data, enabling real-time, complex processing, and conducting timely analyses. The implemented system successfully achieved these goals, allowing quick identification of problem areas, exploration of 2 billion records in seconds, and real-time data sharing. This optimization enhances transportation services, offering better customer experiences and supporting decision-making.
Manufacturing
The multinational computer and electronics company faced challenges with scattered data, redundant work, and slow access. To address this, they implemented a solution using Data Engineering, IAE for high-speed data ingestion, BO for databases, and Data Visualization tools. The results include a significant reduction in data migration time, consolidation of data into a unified hub, and the establishment of a comprehensive, readily available, and clean single source of truth. Additionally, real-time data visualization enhances decision-making, and the implementation of ETL pipelines ensures future data reuse, overcoming the initial challenges efficiently.