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How India's infrastructure is getting smarter with AI
How India's infrastructure is getting smarter with AI

Time of India

time16-07-2025

  • Business
  • Time of India

How India's infrastructure is getting smarter with AI

Artificial Intelligence ( AI ) is rapidly emerging as a transformative force in India's infrastructure sector, driving efficiency, reducing costs, and paving the way for a more resilient and sustainable infrastructure . The transformative power of AI's capabilities in data-driven decision-making are revolutionising how India builds and manages its critical assets. Industry leaders also highlight AI's profound impact on the sector. The technology has permeated each and every aspect of infrastructure building-- from planning and design to construction and operation & maintenance. YR Nagaraja, Managing Director of Ramky Infrastructure, said, "AI fosters resilience, economic benefits, and stronger environmental stewardship in infrastructure. It's not just a tool; it's the intelligence building a greener, more sustainable future for our communities." AI across the infrastructure lifecycle: Planning and Design: AI's prowess in predictive analytics is crucial for accurate demand forecasting, ensuring that infrastructure projects align precisely with future needs. Generative design further optimises structures for peak efficiency and During the construction phase, AI facilitates the deployment of autonomous equipment, streamlining project management and significantly enhancing quality control. This leads to faster project delivery and increased and Maintenance (O&M): This is where AI's impact is arguably most revolutionary. Predictive maintenance, powered by AI, analyses sensor data to anticipate potential equipment failures, dramatically minimising downtime and extending the lifespan of assets. AI also underpins structural health monitoring and intelligent traffic and energy management systems, optimising efficiency and safety across the board. Kapil Mahajan, Global Chief Information & Technology Officer of IT, Allcargo Logistics, noted the broader synergy: "At a broader scale, the convergence of AI, IoT, and automation platforms perfectly complements infrastructure development initiatives like PM Gati Shakti , paving the way for building a logistics network that is resilient, sustainable, and future-facing." Sustainability at the core: As global attention shifts towards sustainability, companies are integrating AI as a fundamental component of their strategies. In sustainable industrial parks, for instance, AI is instrumental in creating closed-loop systems. It optimises water management through precise wastewater reuse and leak detection, significantly curbing consumption. 'In wastewater treatment, AI provides real-time monitoring and anomaly detection, enabling quick responses to water quality changes. It powers predictive maintenance for machinery, minimising downtime and extending equipment life. Crucially, AI optimises treatment processes, significantly cutting energy consumption (e.g., aeration) and chemical use while enhancing pollutant removal,' said Nagaraja. In energy management, AI drives smart grids, seamlessly integrating renewable energy sources and predicting demand for highly efficient consumption. For waste management, AI facilitates automated sorting and identifies opportunities for industrial symbiosis, transforming one industry's waste into another's valuable resource. The energy imperative of AI: However, the increasing reliance on AI also brings a critical consideration in energy consumption. A recent report from the World Economic Forum highlighted this, stating, "We're entering an era where intelligence, computation and autonomy are becoming foundational to every sector. But these systems don't run on code alone. They require real, physical energy – and lots of it.' The report further concluded, 'Achieving this requires a rethinking of the global energy mix. Many current sources remain vulnerable to supply chain disruptions and geopolitical risk. Replacing fragile, fossil-based systems with firm, low-carbon energy solutions that can scale alongside digital infrastructure is essential.' While the embrace of AI is inevitable in the age where it is reshaping every sector; however, there is a crucial need for India to ensure that its AI-driven infrastructure growth does not weigh on the already strained power system, but instead aligns with clean energy goals.

How India's infrastructure is getting smarter with AI, ETInfra
How India's infrastructure is getting smarter with AI, ETInfra

Time of India

time16-07-2025

  • Business
  • Time of India

How India's infrastructure is getting smarter with AI, ETInfra

Advt Planning and Design : AI's prowess in predictive analytics is crucial for accurate demand forecasting, ensuring that infrastructure projects align precisely with future needs. Generative design further optimises structures for peak efficiency and cost-effectiveness. : AI's prowess in predictive analytics is crucial for accurate demand forecasting, ensuring that infrastructure projects align precisely with future needs. Generative design further optimises structures for peak efficiency and cost-effectiveness. Construction : During the construction phase, AI facilitates the deployment of autonomous equipment, streamlining project management and significantly enhancing quality control. This leads to faster project delivery and increased reliability. : During the construction phase, AI facilitates the deployment of autonomous equipment, streamlining project management and significantly enhancing quality control. This leads to faster project delivery and increased reliability. Operation and Maintenance (O&M): This is where AI's impact is arguably most revolutionary. Predictive maintenance, powered by AI, analyses sensor data to anticipate potential equipment failures, dramatically minimising downtime and extending the lifespan of assets. AI also underpins structural health monitoring and intelligent traffic and energy management systems, optimising efficiency and safety across the board. Advt Join the community of 2M+ industry professionals. Subscribe to Newsletter to get latest insights & analysis in your inbox. Get updates on your preferred social platform Follow us for the latest news, insider access to events and more. Artificial Intelligence ( AI ) is rapidly emerging as a transformative force in India's infrastructure sector, driving efficiency, reducing costs, and paving the way for a more resilient and sustainable infrastructure The transformative power of AI's capabilities in data-driven decision-making are revolutionising how India builds and manages its critical leaders also highlight AI's profound impact on the sector. The technology has permeated each and every aspect of infrastructure building-- from planning and design to construction and operation & maintenance. YR Nagaraja, Managing Director of Ramky Infrastructure, said, "AI fosters resilience, economic benefits, and stronger environmental stewardship in infrastructure. It's not just a tool; it's the intelligence building a greener, more sustainable future for our communities."AI across the infrastructure lifecycle:Kapil Mahajan, Global Chief Information & Technology Officer of IT, Allcargo Logistics, noted the broader synergy: "At a broader scale, the convergence of AI, IoT, and automation platforms perfectly complements infrastructure development initiatives like PM Gati Shakti , paving the way for building a logistics network that is resilient, sustainable, and future-facing."As global attention shifts towards sustainability, companies are integrating AI as a fundamental component of their strategies. In sustainable industrial parks, for instance, AI is instrumental in creating closed-loop systems. It optimises water management through precise wastewater reuse and leak detection, significantly curbing consumption.'In wastewater treatment, AI provides real-time monitoring and anomaly detection, enabling quick responses to water quality changes. It powers predictive maintenance for machinery, minimising downtime and extending equipment life. Crucially, AI optimises treatment processes, significantly cutting energy consumption (e.g., aeration) and chemical use while enhancing pollutant removal,' said energy management, AI drives smart grids, seamlessly integrating renewable energy sources and predicting demand for highly efficient consumption. For waste management, AI facilitates automated sorting and identifies opportunities for industrial symbiosis, transforming one industry's waste into another's valuable energy imperative of AI:However, the increasing reliance on AI also brings a critical consideration in energy consumption. A recent report from the World Economic Forum highlighted this, stating, "We're entering an era where intelligence, computation and autonomy are becoming foundational to every sector. But these systems don't run on code alone. They require real, physical energy – and lots of it.'The report further concluded, 'Achieving this requires a rethinking of the global energy mix. Many current sources remain vulnerable to supply chain disruptions and geopolitical risk. Replacing fragile, fossil-based systems with firm, low-carbon energy solutions that can scale alongside digital infrastructure is essential.'While the embrace of AI is inevitable in the age where it is reshaping every sector; however, there is a crucial need for India to ensure that its AI-driven infrastructure growth does not weigh on the already strained power system, but instead aligns with clean energy goals.

ECU Worldwide partners with Rackspace for AWS cloud migration
ECU Worldwide partners with Rackspace for AWS cloud migration

Techday NZ

time14-05-2025

  • Business
  • Techday NZ

ECU Worldwide partners with Rackspace for AWS cloud migration

Rackspace Technology has announced its partnership with Allcargo Group's ECU Worldwide to transition global logistics operations to Amazon Web Services (AWS) cloud infrastructure. The collaboration involved ECU Worldwide moving from traditional data centres to AWS to support operations spanning 180 countries. This cloud migration aimed to improve scalability, reinforce disaster recovery, and strengthen security systems across the company's extensive logistics network. ECU Worldwide's revamped digital platform, ECU360, now offers customers real-time shipment tracking, instant booking, and a simplified cargo movement process. These changes form part of a broader digital-first strategy that seeks to streamline customer experiences and standardise compliance in the highly regulated logistics sector. The transformation was structured around four strategic pillars. The first pillar prioritised elevating the customer experience by introducing modernised digital interfaces and streamlining processes from tracking shipments to managing documentation. This allowed clients to interact with a single, unified platform, making processes more efficient and transparent. The second pillar focused on infrastructure modernisation. Transitioning from a network of global data centres to AWS infrastructure has provided ECU Worldwide with the flexibility to scale operations during periods of peak demand, while maintaining a robust approach to security and disaster recovery. The third pillar highlighted workforce development through extensive training programmes and change management initiatives designed to facilitate the adoption of new technology across ECU Worldwide's international operations. These programmes ensured that employees were equipped to use the modernised systems efficiently and adapt to ongoing technological change. The final pillar drew on the expertise of AWS and Rackspace Technology, integrating best practices for cloud migration and ensuring that technological and operational changes were implemented effectively at scale. "We were pleased to be able to assist ECU Worldwide's digital transformation journey by focusing on making operations simpler and more efficient for its global customers," said D K Sinha, President of Public Cloud, Rackspace Technology. "Transitioning to AWS has reinforced system security, ensured stable operations, and enhanced disaster recovery solutions. Our collaboration with ECU Worldwide and AWS will connect the right solutions with industry best practices." Kapil Mahajan, Global Chief Information and Technology Officer of Allcargo Group, commented: "Our cloud migration strategy at ECU Worldwide focused on four pillars: enhancing customer experiences, modernising infrastructure through AWS, enabling our workforce, and leveraging strategic partnerships. This transformation addressed our scalability needs across 180 countries while unifying our compliance approach. It's empowered us to deliver next-generation logistics services with real-time tracking and emerging technologies, positioning us at the forefront of logistics innovation." Following the transformation, ECU Worldwide reports increased operational efficiency and improved responsiveness to market demands. The company has also enhanced business continuity through improved geographic redundancy and the adoption of standardised processes. Through integration with AWS's cloud services, ECU Worldwide has also achieved consistent service delivery across different regions and strengthened compliance with a variety of regulatory frameworks worldwide. The transformation underpins ECU Worldwide's aim to future-proof its infrastructure and keep pace with evolving global logistics demands.

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