BIAL Partners with KPMG to Bring AI to Bengaluru Airport
Bangalore International Airport Limited (BIAL), operator of Kempegowda International Airport Bengaluru, has partnered with KPMG in India to implement cutting-edge Generative AI technologies to aid airport operations and enhance passenger experiences. The collaboration will deliver a bespoke AI platform tailored to BIAL’s operational ecosystem. This advanced system is expected to drive smarter decision-making through real-time data processing, predictive analytics and adaptive intelligence. It will automate routine tasks, offer AI-driven support across functions and enhance operational resilience by forecasting trends and mitigating disruptions. “This partnership marks a major step in unlocking AI’s potential. With a platform centred on innovation and responsibility, BIAL is poised to lead the aviation sector into the future,” said George Fanthome, Chief Digital and Information Officer, BIAL The platform will also incorporate responsible AI principles, robust cybersecurity, and data privacy measures. It will be scalable across diverse airport domains and support efficiency, sustainability, and consistency in operations. “We are proud to partner with BIAL in this pioneering initiative. GenAI will transform how airports operate and serve passengers. This project places BIAL at the forefront of innovation in global aviation,” Girish Nair, Partner and Head of Aviation at KPMG, India. Earlier in 2023, Industry.AI  had employed its vision AI platforms across KIA (T2 ), debuting for intelligent video analytics in the Indian airport. In 2024, GMR Airports launched an AI-powered twin digital platform at Rajiv Gandhi International Airport, Hyderabad. It also unveiled its Airport Predictive Operation Centre (APOC), which advances airport management and operations. This platform integrates airside, landside, and terminal operations into a unified system. Similarly, Delhi’s Indira Gandhi International Airport has implemented an AI-powered system called Unified Total Airside Management (UTAM) to streamline airside operations. Developed by DIAL under GMR Airports Limited, the system leverages Artificial Intelligence, Machine Learning, IoT, and radar technology to monitor and manage aircraft, vehicles, and baggage movement in real time.
The platform will incorporate responsible AI principles, robust cybersecurity, and data privacy measures.
The platform will incorporate responsible AI principles, robust cybersecurity, and data privacy measures.
["AI", "BIAL", "kpmg"]
["GenAI", "artificial intelligence", "machine learning", "AI", "R", "ML", "RAG", "kpmg", "BIAL", "analytics", "generative AI", "predictive analytics"]
["AI", "artificial intelligence", "machine learning", "ML", "analytics", "generative AI", "GenAI", "RAG", "predictive analytics", "R"]
Merin Susan John is a journalist at Analytics India Magazine, reporting on the intersection of AI and human capital. She can be reached  at merin.john@aimmediahouse.com