Digital Project of the Year

This project aims to develop accurate digital assets data for 47 parcels (91 Towers in complete district) in the KAFD by using BIM (Building information Modelling) to extract COBie data to interface with CAFM (Computer Aided Facility Management System), BMS (Building Management System) for total integrated Zero-defect high efficiency operations and Maintenance.

LiDAR Scanning has been carried out for all buildings in order to achieve the high accuracy data output in the BIM Models. All the parcels are required to develop BIM data up to iLOD 500 to extract COBie (Construction Operation Building Information Exchange) to interface CAFM systems such as IBM- Maximo. Also the BIM Models has been used further to be hosted in Digital Twin platform to achieve the smart city solutions use cases & GIS navigation systems to provide an efficient Operation & maintenance through integrated command center.

Rua Al Madinah Holding Company, based in Saudi Arabia, is a key entity under the Public Investment Fund and known for its pivotal role in real estate development and investment initiatives. Its focus lies in modern urban planning and the execution of diverse, comprehensive projects aimed at elevating Madinah’s stature as a destination with a contemporary architectural landscape. Leading modern infrastructure, Rua Al Madinah Holding will work on current and future projects to develop a hotel and commercial system. It also aims to establish cultural, entertainment, and religious museums near the Prophet’s Mosque, facilitating the accommodation of 30 million visitors to Madinah by 2030.

The focus of the team is to harness the power of big data and implement digital process automation. This transformational initiative aims to elevate the Rua Al Madinah Project into a comprehensive solution, setting new benchmarks not only within the region but also beyond. The goal is to streamline project workflows, optimise resource allocation, and facilitate efficient communication, collaboration, and decision-making. Our approach involves leveraging big data to achieve real-time visibility into project data, empowering key stakeholders to proactively address challenges. This ensures the successful delivery of the project, facilitated by the right technology partners and appropriate tools to drive project efficiency and success.

The ECC Digital Transformation is a unique project employed within the ECC after extensive market study on identifying redundant highly resource-consuming jobs to make them more efficient. The construction industry is a ‘resource-intensive’ industry where there is humungous data & operations carried out manually daily.

Implemented with the help of Robotic Process Automation (RPA)- technology that uses software robots or digital workers to automate repetitive, rule-based tasks, the project identified those operations that can be automated thereby achieving the numerous benefits. With significant overall cost saving and efficient time and resource management, the project focused on continuous improvement of Robotic Process Automation.

Orascom Construction is dedicated to innovation and embracing technological solutions across all aspects of construction. Within our portfolio of healthcare projects, Magdi Yacoub Global Heart Center, designed by Norman Fosters and Partners and DAR, stands proudly as a world-class, high-profile project. Leveraging new technologies across every phase of the project life cycle, from the initial design stage and extending seamlessly through to the operational phase, the process serves to optimize and elevate the entire project trajectory.

The project is a development of a Maintenance Management System for the rail infrastructure assets of Dubai Metro & Tram, including viaducts, tunnels, stations, depots, tracks and car-parking buildings. Through the project, the RTA developed a digital platform (mobile and web applications) along with a prescriptive inspection approach supported by an asset database to provide the RTA with the capability, transparency and structure to efficiently and effectively inspect and maintain the Rail Infrastructure Assets, based on the practices of Reliability Cantered Maintenance and Risk Based Maintenance, in order to maintain safe and sustainable operation of the asset.

The system is integrated with the RTA systems (MMS Maximo and GIS), and it generates asset maintenance reports showing asset conditions, risks, health index and budgeting to support the maintenance plans and decision-making. The project was executed in five stages which includes the development of asset database, maintenance regime, asset field inspection and testing, development of critical modules, software package, and integration with the RTA Enterprise Maximo, plus maintenance of the new generated system for 2 years. The RIMMS system consists of a Mobile Application for off-line field inspections and a Web Application for administrative setup, asset condition analysis, and maintenance needs tracking.

The ROSHN Horizon emerged from a strategic initiative to standardise the Roshn Investment Control Process (RICP) framework, ensuring uniformity in processes, procedures, and templates. The driving force behind this digital project was the need to overcome the challenges posed by varied workflows across ROSHN portfolio. The aim was to establish a foundation where Processes and Templates are not just defined but rigorously followed. This commitment to standardisation extends to every aspect of the RACI matrix creating a cohesive framework that fosters clarity and accountability.

Leveraging technologies and methodologies, they harmonised disparate processes, and reduced redundancy across ROSHN. The strength of RICP is its ability to bridge the gap between standardisation and innovation. ROSHN not only met but exceeded the stated aims, establishing a new benchmark for the RICP RACI framework within ROSHN. This project serves as a transformative force, ensuring not only adherence to standards but a streamlined d development cycle that propels its portfolio towards sustained success. In 2024, they added an additional capability to the project by enabling ROSHN GPT leveraging internal knowledge library and powered by Generative Pre-trained Transformer to support all employees.

Located in Dhofar Governorate in Oman, the project aims to create a digital database of the area's buildings, roads, fences, and utilities above ground level. The purpose of this is to assist the Ministry of Housing in making proper land plans and generating accurate site plans and deeds. Due to social constraints and the difficult topography of the area, the project owner required a solution that didn't involve a traditional field survey.

The project covers a large area of 760 sqkm and has a two-year deadline. To meet these challenges, Khatib & Alami devised an innovative solution, which involves an aerial survey using aircraft and Artificial Intelligence to detect footprints and roads. The project was completed within 16 months with minimal human intervention (around 10 staff - 2 full-time), nine days of flight capturing, and resulted in a GIS database of buildings/fences with 10 cm accuracy.