The role of Artificial Intelligence in building smart cities towards energy transition. Anthony Cebokli, Associate, Infrastructure Advisory - Deal Advisory, KPMG Services Pte Ltd Singapore, reports. This article is contributed by KPMG - the official Content Partner for SIEW 2023.
The conference provided a crucial platform to address the challenges posed by the global shift towards decarbonisation. In particular, this discussion focused on the pivotal role which AI can play in equipping city mayors with the tools to navigate these challenges, while fostering sustainability.
AI's transformation of data into actionable knowledge
Aalok Kumar, Corporate Officer & Senior Vice President - Head of Global Smart City Business at NEC Corporation, and President & CEO, NEC Corporation India, explained that artificial intelligence (AI) can be a formidable force capable of transforming raw data into actionable knowledge, leading to a profound shift in the way decisions are made. For instance, through a tangible example in video analytics, we can witness AI's remarkable ability to swiftly identify individuals in distress without the need for vocal cues. This transformation extends far beyond data processing; it fundamentally enhances the efficacy of emergency response systems and bolsters the capabilities of law enforcement.
Deven Chhaya, Partner, Infrastructure Advisory at KPMG in Singapore added that AI isn't just about data; it represents a leap towards cities that does not merely collect information, but are empowered to make well-informed, wisdom-driven decisions.
ββThe true power of AI is not just converting data into information; it's about transforming that information into knowledge. This 'super layer' of AI, integrated with physical infrastructure and data streams, interprets and makes sense of complex information,ββ said Mr Kumar.
AI's critical role in predicting energy demands for smart cities
Mr Kumar provided an in-depth perspective on how AI plays an instrumental role in optimising energy management within smart cities. AI's vital role in predicting energy demand for a specific usage, for example for EVs, is nothing short of revolutionary. It's more than just a technological innovation; it's a way to ensuring a reliable, sustainable energy supply for smart cities. With AI's precision in forecasting energy demand down to the hour and accounting for variables such as the type of vehicle in use, cities can streamline energy consumption efficiently. This isn't merely about enhancing efficiency; it's about achieving profound environmental benefits and securing a future where energy transition and sustainability are not just ideals but tangible realities.
ββThe energy transition roadmap that cities are pursuing is not easy. While they are seeking to leverage various technologies to facilitate the energy transition, city mayors require support that goes beyond the current state of affairs,ββ said Mr Chhaya.
The 'AI-First' approach in smart city development
Mr Kumar emphasised the pressing and visionary need for an 'AI-first' approach in the development of smart cities. This strategy represents a strategic imperative rather than a technological choice. It involves seamlessly integrating AI into city planning and infrastructure development from the very inception, ensuring that future buildings, transportation systems, and utilities are innately intelligent and sustainable. Delaying AI integration is not just a missed opportunity; it's a fundamental error. This approach enables cities to become intelligent, adaptable, and resilient, addressing the evolving needs of urbanisation, environmental sustainability, and the well-being of their residents. The 'AI-first' approach is the cornerstone of future-proofing our cities.
ββI believe it's time to shift our thinking in order to build smartly. Instead of building highways first and then considering the cars, we should start thinking about the cars even before the highways,ββ concluded Mr Kumar.
The insights from the conference underscore the pivotal role of AI in shaping smart cities and catalysing the energy transition towards a net zero world. AI's ability to transform data into actionable wisdom empowers city administrators to make informed, timely decisions, enhancing public safety and well-being. Furthermore, AI's role in predicting and managing energy demands contributes to efficient resource allocation, reducing environmental impact.
Embracing an 'AI-First' approach in smart city development is not just a technological choice but a strategic imperative, ensuring that cities are not just smart but also intelligent, sustainable, and adaptable to future challenges.
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