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SINGAPORE – Media OutReach Newswire – 24 February 2026 – In the wake of Budget 2026 and Prime Minister Lawrence Wong’s announcement of a National AI Council to accelerate mission-driven artificial intelligence deployment, EtonHouse International Education Group has collaborated with OpenAI to roll out ChatGPT Edu across its global education network, establishing a secure, enterprise-grade AI workspace designed to strengthen governance, operational excellence and institutional capability.

Students of EtonHouse using a computer
Students of EtonHouse using a computer

The implementation spans the Group’s schools and education brands, including EBridge Pre-School, an Anchor Operator, extending AI integration beyond classroom experimentation into enterprise-wide infrastructure supporting operations, marketing and admissions, finance, human resources, school administration and technology development.

While education was not named among the initial priority sectors identified under Singapore’s national AI strategy, EtonHouse views schools as foundational to building long-term AI capability and literacy across society.

Governance-led AI deployment

The rollout has been structured around enterprise governance principles. Access is managed through role-based access controls, single sign-on authentication and automated provisioning, ensuring that AI tools and information remain aligned to defined job responsibilities and permission boundaries.

ChatGPT Edu operates within a centrally managed internal workspace governed by consistent policies across the Group. External sharing and third-party integrations are enabled only where explicitly approved and aligned with business requirements, reinforcing a secure and compliant AI environment.

This governance-first approach reflects a deliberate shift from isolated experimentation to structured, scalable adoption.

From classroom innovation to enterprise infrastructure

EtonHouse previously developed Lumina, its proprietary AI-powered lesson planning platform. The deployment of ChatGPT Edu represents the next phase of integration, extending advanced artificial intelligence capabilities into enterprise functions.

Within the secure workspace, teams can upload documents for structured analysis, generate comparative reports, conduct scenario modelling and retrieve institutional knowledge more efficiently. Technology teams are also leveraging Codex, OpenAI’s agentic coding tool, to enhance development workflows, supporting code drafting, review and testing while maintaining human oversight and established engineering standards.

The Group is concurrently developing internal AI assistants and structured workflows within defined governance parameters to streamline routine processes and standardise how knowledge is accessed and applied across departments.

Augmentation, not replacement

EtonHouse emphasises that artificial intelligence is being implemented as an augmentation layer rather than a substitute for professional judgement.

“Artificial intelligence is not a shortcut or a replacement technology. It is a learning infrastructure,” said Mr Ng Yi-Xian, Group CEO of EtonHouse International Education Group. “We are developing tools that help students learn more confidently, support teachers to plan and differentiate more effectively, and equip HQ teams to serve schools faster and with higher quality. AI should amplify good practice, not replace it, so we are building the governance and capability to deploy it responsibly at scale.”

The rollout will be supported by structured staff training alongside OpenAI experts clear usage guidelines and ongoing oversight to ensure transparency, responsible usage and alignment with internal policies and regulatory obligations.

“As Singapore advances its national AI ambitions, many institutions are working to bridge the gap between rapidly advancing AI technologies and their ability to deploy them effectively and responsibly. EtonHouse’s rollout of ChatGPT Edu shows how forward-thinking education organisations can translate AI into practical, trusted enterprise-wide systems that empower teams today, while building confidence for the long-term.” added Oliver Jay, Managing Director, International at OpenAI.

Education’s role in Singapore’s AI future

Budget 2026 outlined the formation of a National AI Council to guide coordinated deployment across priority sectors including advanced manufacturing, connectivity, finance and healthcare.

EtonHouse’s implementation reflects how education institutions can apply similar principles of governance, security and enterprise readiness, positioning schools not only as adopters of technology but as contributors to Singapore’s broader AI capability building.

With this move, EtonHouse signals a transition from exploratory AI usage to secure, scalable integration across its global network, reinforcing its commitment to innovation anchored in institutional discipline and responsible deployment.

Hashtag: #ArtificialIntelligence #EnterpriseAI #AIGovernance #AIDeployment #EdTech





The issuer is solely responsible for the content of this announcement.

About EtonHouse International Education Group

Founded in 1995 in Singapore, EtonHouse has grown into a global education group with more than 100 schools across eight countries. The Group offers a highly recognised international education pathway from infant care to high school, including the International Baccalaureate, Cambridge, and the Reggio Emilia-inspired approach, all designed to nurture inquiry, creativity, and intercultural understanding. Beyond schools, EtonHouse is deeply committed to community impact through teacher training, philanthropy, and purpose-driven educational initiatives.

Its commitment to excellence has earned the Group numerous accolades, including:

  • E-Bridge successfully earned multiple accolades for teaching excellence and innovation from the ECDA Awards for Excellence in Early Childhood Development from 2019-2024.
  • E-Bridge Pre-School Bukit Panjang clinched the “Outstanding Centre for Teaching and Learning Award” in 2019.
  • E-Bridge educators were commended with “Outstanding Early Childhood Teacher Award” in 2021.
  • Clinched “Promising Infant Educator Award & Early Childhood Innovation Award” in 2022.
  • E-Bridge Pre-School SengKang Square won the “Outstanding Centre for Teaching and Learning Award” in 2023.
  • Clinched the “Outstanding Centre for Teaching and Learning Award” for E-Bridge Pre-School Sengkang Square and “Outstanding Early Intervention Professional” in 2024.
  • EtonHouse International School Suzhou, an IB K-12 school, garnered recognition as one of China’s top international schools, according to a research firm based in Washington, DC.
  • In 2023, EtonHouse China won the ‘Forbes China Best International Education Group Award.’
  • In 2024, EtonHouse received the esteemed HoneyKids Singapore Education Awards, achieving Gold for “Best Bilingual Programme”, Silver for “Best Small School in Singapore” and clinched both Gold and Silver for “Principal of the Year (Kindergarten).
  • In 2025, EtonHouse launched two news campuses in Saudi Arabia, EtonHouse International Pre-School Granada and EtonHouse International School Granada while achieving 6 HoneyKids Singapore Education Awards in Singapore.

At EtonHouse, collaboration with governments is a cornerstone of its mission. The partnerships include:

  • Participation in Singapore’s Anchor Operator (AOP) Scheme, launching E-Bridge Pre-School in 2014 to deliver top-notch infant care and pre-school education for children aged 2 months to 6 years across a network of 31 centres.
  • The expansion of EtonHouse’s presence in Suzhou and Nanjing, China came at the invitation of the Jiangsu provincial government, reinforcing its commitment to global education.
  • Won an Economic Development Board tender in 2017 and introduced Middleton International School, offering an affordable schooling option for expatriate families.

In 2015, the EtonHouse Community Fund (ECF) was established, dedicated to enhancing the lives of underserved children and youth through education.

The Eton Academy was launched in 2020, providing English, Maths, and Science academic programmes for Nursery 1 to Primary 6 in centres across the island. Building on this success, The Eton Academy expanded in 2025 with the introduction of Elevate After School Care, offering primary school children a holistic, well-rounded after-school experience that complements their academic development.

EtonHouse International Education Group remains unwavering in its commitment to shaping futures and making a meaningful impact on the world through education.

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Tata Group, Tata Consultancy Services and OpenAI unveiled a landmark strategic partnership that aims to redefine the landscape of artificial intelligence deployment across enterprise, infrastructure and workforce development. With a multi-year agreement signed at a major AI summit in New Delhi, the collaboration is centred on building out AI infrastructure in India, rolling out Enterprise ChatGPT to thousands of employees and co-creating industry-tailored AI solutions.

Under the pact, TCS’ HyperVault unit will lead the development of large-scale AI-ready data centres, starting with an initial capacity of about 100 megawatts of power and a roadmap to scale to 1 gigawatt. OpenAI is anticipated to become the first anchor customer for this infrastructure, supporting advanced AI computation and inference workloads within the country.

Central to the partnership is the deployment of Enterprise ChatGPT across Tata Group companies, designed to enhance productivity and accelerate innovation within one of India’s largest conglomerates. Thousands of employees are set to receive access to the enterprise version of the generative AI platform, enabling broader internal adoption of AI tools for knowledge work and decision support.

Beyond productivity tools, the alliance will explore the development of “agentic” AI solutions that combine OpenAI’s cutting-edge models with TCS’ industry knowledge and engineering capabilities. This approach aims to address complex sector-specific challenges across fields such as manufacturing, financial services and healthcare, rather than offering generic AI applications.

OpenAI’s CEO Sam Altman positioned the collaboration as part of a larger initiative to expand the company’s footprint and capabilities in emerging markets like India, where demand for AI services and local data processing is accelerating. He emphasised the need for robust infrastructure and local partnerships to scale AI responsibly and securely.

Tata Sons Chairman N. Chandrasekaran described the partnership as a cornerstone in the group’s wider AI strategy, underscoring its potential to strengthen both domestic capacity and global competitiveness. The agreement aligns with TCS’ ambition to become a leading AI-driven technology services provider on the world stage, building on its existing HyperVault platform and ongoing investments in state-of-the-art data centres.

Financial markets reacted positively to the announcement, with TCS shares rising after the news broke, reflecting investor confidence in the company’s expanded role in AI infrastructure build-out and its position as a strategic partner to global AI developers.

The infrastructure element of the partnership places a strong emphasis on scalability and sustainability. TCS’ HyperVault facilities are designed to support liquid-cooled, high-density data environments that can handle the demanding computational needs of generative AI models, while also integrating with major cloud regions for broader interoperability.

A social impact component is woven into the alliance through plans to collaborate with the OpenAI Foundation to deliver AI training programmes for youth and underserved communities, equipping individuals with skills to engage with emerging technologies responsibly. The initiative aims to develop a pipeline of talent capable of contributing to the wider AI ecosystem.

This partnership comes amid a broader surge in investment and strategic alignments between global AI firms and Indian technology leaders, as the country seeks to position itself as a competitive hub for innovation and data infrastructure. Industry observers note that similar efforts by other major tech players to localise AI capabilities reflect a global trend towards data residency, regulatory compliance and sovereign control over critical AI workloads.

Critics caution that the rapid expansion of AI infrastructure must be balanced with robust governance frameworks to address concerns around data security, ethical use and labour market disruption. Analysts argue that while the partnership promises substantial gains in efficiency and capability, clear policies and oversight mechanisms will be crucial to ensure equitable benefits across society.

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India is pushing ahead with a rapid build-out of artificial intelligence data centres, even as concerns mount over water stress and rising electricity demand in the very regions chosen to host them.

Global technology groups including Microsoft, Amazon and Google have pledged billions of dollars to expand cloud and AI infrastructure across the country, betting on strong digital adoption, a vast developer base and policy support from New Delhi. At the same time, domestic conglomerates such as Reliance Industries and the Adani Group have unveiled plans to scale up capacity, signalling an arms race to capture the next phase of AI growth.

The surge is centred on established data centre hubs such as Mumbai, Hyderabad, Chennai and the National Capital Region. Industry estimates place India’s operational data centre capacity at more than 900 megawatts, with projections that this could double within a few years as hyperscale facilities come online. Much of the new supply is being designed for AI workloads, which require more powerful processors and higher rack densities than traditional cloud computing.

Microsoft has committed to expanding its Azure footprint in multiple regions, while Amazon Web Services continues to invest in its Mumbai and Hyderabad zones. Google Cloud has also deepened its presence, citing demand from financial services, healthcare and government clients. Nvidia, whose graphics processing units underpin many AI systems, has strengthened partnerships with Indian firms to support sovereign AI initiatives and localised computing.

Officials argue that this wave of investment will support economic growth, digital inclusion and advanced research. India’s data protection framework and semiconductor incentives have been positioned as part of a broader strategy to create a resilient digital ecosystem. The government has also outlined ambitions to develop domestic AI models trained on local languages and datasets, increasing the need for high-performance computing infrastructure within national borders.

Yet environmental experts warn that the geography of expansion raises difficult trade-offs. Mumbai and Chennai, two of the country’s largest data centre clusters, face periodic water shortages and are vulnerable to climate-related risks, including extreme heat and flooding. Hyderabad, another key hub, has experienced mounting pressure on groundwater resources amid rapid urbanisation.

AI data centres are particularly resource-intensive. Training large language models can consume vast amounts of electricity, and the cooling systems required to maintain optimal temperatures often rely on significant volumes of water. While operators increasingly use advanced cooling technologies and pursue renewable energy procurement, critics question whether efficiency gains can keep pace with the scale of expansion.

According to industry analysts, AI-optimised facilities can draw substantially more power per rack than conventional data centres. India’s peak power demand has been rising steadily, touching record highs during heatwaves. Coal continues to account for a large share of electricity generation, although solar and wind capacity have expanded rapidly. The tension between decarbonisation goals and surging digital energy needs is becoming more pronounced.

Water usage is another flashpoint. Traditional evaporative cooling systems can require millions of litres annually for large facilities, though some operators are shifting to air-cooled or liquid immersion systems to reduce dependence on freshwater. Companies state that they are investing in water recycling, rainwater harvesting and wastewater treatment, particularly in regions classified as water-stressed.

Environmental groups argue that even with mitigation measures, cumulative impacts could strain local communities. Urban residents in Chennai and parts of Maharashtra have already experienced water rationing during drought periods. The prospect of energy-hungry AI campuses expanding in these same areas has prompted calls for stricter environmental assessments and greater transparency around resource use.

Corporate leaders counter that hyperscale operators often have stronger sustainability commitments than smaller, on-premise data centres. Many global firms have pledged to run on 100 per cent renewable energy and to become water positive within the decade. In India, power purchase agreements for solar and wind farms are increasingly tied to data centre projects, supporting the build-out of clean energy capacity.

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