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.