The Qatar Research, Development, and Innovation (QRDI) Council and Qatar Airways have launched the new call for innovation as a part of their Qatar Open Innovation Program.
The initiative targets startups, SMEs and corporates specialized in AI/ML based technologies to develop a Smart Work Scheduling and Staff Allocation Tool. The deadline for proposal submission is September 4, 2024.
Through the Qatar Open Innovation Program, startups and innovators can engage with government and corporate buyers to develop market-ready solutions in five key areas of energy, health, resource sustainability, society, and digital technology.
This aligns with the QRDI strategy 2030, identifying opportunities for innovative collaborations to promote economic development. The QOI program, launched in partnership with 20 local partners across key sectors, has attracted the attention and the participation of innovators from Qatar and other countries from around the world.
Dr Abdelhak Belaidi, RDI Program Manager at QRDI Council commented that, “Our on-going partnership with Qatar Airways aims to support their leadership in aviation. Through joint innovation opportunities, Qatar Airways aims to shape the future of the industry and set the bar for excellence. Throughout this opportunity, Qatar Airways is seeking innovation to revolutionize airways operations and resource management. This comes in line with QRDI 2030 Strategy, addressing the National RDI priority areas in order to reach one of our main goals, aligned with Qatar National Vision 2030, positioning Qatar into a global hub for innovation.”
Belaidi also added that the proposed solution include efficient filtering options for staff allocation and real-time progress updates to adapt to dynamic operational environments, and unforeseen events effectively, highlighting that the solutions may include customizable generative AI programs, LLMs, NER, classification models, topic modeling algorithms, pattern recognition, anomaly detection, and AI-driven data visualization tools.
Qatar Airways relies on an in-house system with electric workload and task cards, facilitating decision making by importing work orders and flight schedules. It shows relevant details and offers skill-matching filters to help the technical team in manually assigning tasks.
To improve efficiency, Qatar Airways is looking for a tool that uses AI/ML based software technologies to allocate resources, based on the required skills and job competencies, and plan aircraft maintenance and work orders efficiently.
