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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.

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

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

About EtonHouse International Education Group

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.

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.

Debut at startup-centric zone 4YFN, Dual-presence at World Class Tech Exhibitions in Spain

HONG KONG SAR – Media OutReach Newswire – 24 February 2026 – Hong Kong Science and Technology Parks Corporation (HKSTP), in collaboration with Hong Kong Trade Development Council (HKTDC), will lead a delegation of 21 Hong Kong tech companies and institutions to showcase at Mobile World Congress (MWC) 2026—the world’s premier connectivity event, and debut at 4 Years From Now (4YFN) 2026—a global stage for start-ups, taking place concurrently 2-5 March in Barcelona, Spain.

Building on the momentum from MWC 2025—the Delegation will be featuring solutions beyond the Connectivity category, covering focus areas across Devices and Systems, Digital Transformation and support from Ecosystem Partners. The Pavilion duet ought to give a more comprehensive picture of Hong Kong’s innovation and technology (I&T) capabilities in engaging global telecom leaders, enterprise decision-makers, industry partners, and investors, bridging cutting-edge research and development (R&D) into real-world applications and propelling Hong Kong’s I&T sector onto the international stage.

Derek Chim, Head of Startup Ecosystem and Development, HKSTP said, “MWC is a global bellwether for communications technology and tech companies at any stage, to connect with the industry and investors, to have a solid ground that validate solutions, catalyse pilot projects, accelerate commercialisation, and scale internationally.”

Iris Wong, Director, Merchandise Trade and Innovation / Director, External Relations, HKTDC, said, “The Hong Kong Tech Pavilion is an ideal platform for Hong Kong tech enterprises to present their latest R&D achievements at major international tech gatherings, support their journey to explore overseas markets, while highlighting Hong Kong’s strengths as an international innovation and technology hub.”

A series of dialogues and exchanges, spanning from networking reception and themed talks to pitching sessions, will take place throughout the events at the Pavilion to facilitate partnerships and investment opportunities for innovative solutions that are market-ready with high potential for market expansion, in particular, Asmote and Cresento under “Connectivity” make stellar examples of the notion:

• 5G & 6G for Communication, Sensing, and AI computing – Shannon & Turing, (Asmote), located at MWC, specialises in mmWave technology for Integrated Sensing and Communication (ISAC) technology—drone communications and control—rising to the occasion as the city advances its low-altitude economy initiatives, while winning favors for its efficiency in managing industrial scenarios such as smart ports and dark factories. The company previously secured the world’s first 26GHz mmWave 5G commercial communications project, demonstrating its leadership in industrial-grade applications.

• Smart Performance Insights for Sport – Cresento, located at 4YFN, focused on developing an AI-powered shin guard to deliver real-time insights—performance analytics, team leaderboards, and more—with a design that incorporates into gears that athletes already wear and creates minimal friction for, in particular, football players to adapt, will be moving from prototypes to pilot collaborations with European football clubs, academies and sport tech platforms and distributors.

HKSTP continues to join hands with HKTDC to support Hong Kong tech enterprises to “go global” by jointly organising the Hong Kong Tech Pavilion to build bridges linking tech companies with the world. This expedites the industry’s progress in internationalisation to meet the growing demand for I&T globally. This will attract talents, facilitate forward-looking investments and explore opportunities globally, realising the mission of entrepreneurs to reach out to the world and further consolidate Hong Kong’s position as an international I&T hub.

Mobile World Congress Barcelona (MWC) & 4 Years From Now (4YFN)
Date: 2-5 March 2026
Venue: Fira Gran Via, Av. Joan Carles I, 64, 08908 L’Hospitalet de Llobregat, Barcelona, Spain

Hong Kong Tech Pavilion:
MWC – Booth 6E44 at Hall 6
4YFN – Booth 8.1B31 at Hall 8.1

Please visit https://bit.ly/MWC2026HKTech for more information on Hong Kong Tech Pavilion and the exhibitors.

Appendix: Full list of 21 tech entities showcasing at Hong Kong Tech Pavilion during MWC and 4YFN 2026 (in alphabetical order)

Hashtag: #HKSTP

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

HKSTP

More information about HKSTP is available at www.hkstp.org

Battery swapping allows drivers to exchange a depleted battery for a fully charged one in a matter of minutes at automated stations. Proponents argue that the process reduces waiting times, eases pressure on charging grids and addresses consumer concerns over driving range. The single-day tally reflects the rapid build-out of swapping infrastructure, particularly in urban clusters where electric vehicle adoption has surged.

Nio, one of the most prominent advocates of the model, has invested heavily in automated swap stations capable of completing a battery exchange in roughly three to five minutes. The company has deployed thousands of such stations nationwide, positioning the service as a core part of its premium brand offering. CATL, the world’s largest electric vehicle battery manufacturer, has also entered the segment, unveiling standardised battery packs and modular swap solutions aimed at broader industry adoption.

The record comes as authorities continue to encourage innovation in electric mobility as part of wider decarbonisation efforts. China remains the world’s largest market for electric vehicles, accounting for more than half of global sales. According to industry data, new energy vehicles — which include battery-electric and plug-in hybrid models — have steadily expanded their share of total car sales, supported by policy incentives, local government backing and a dense manufacturing ecosystem.

Supporters of battery swapping argue that the model can complement fast-charging networks rather than replace them. While high-powered chargers have improved, recharging times can still extend beyond 20 minutes depending on capacity and grid availability. Swapping offers a predictable and shorter turnaround, which fleet operators such as ride-hailing and logistics companies view as critical to maintaining vehicle utilisation rates.

Industry analysts note that standardisation has historically been a barrier to wider adoption. Different vehicle platforms often require unique battery configurations, complicating interoperability. CATL has sought to address this by promoting unified battery specifications that could be shared across brands. If widely adopted, such standardisation could lower infrastructure costs and accelerate rollout beyond premium segments.

Nio has expanded partnerships with other manufacturers to open its swapping network to additional vehicle models. The company has also integrated digital systems to allow drivers to locate stations, reserve slots and monitor battery health. Executives argue that separating vehicle ownership from battery ownership — through subscription-style battery leasing — reduces upfront purchase prices and mitigates concerns over long-term battery degradation.

However, sceptics question whether the economics can be sustained at scale. Building and maintaining automated swap stations requires substantial capital expenditure. Each site houses multiple battery packs, robotic handling systems and grid connections capable of recharging stored units. Critics argue that fast-charging networks, which rely on increasingly powerful chargers, may offer a more straightforward path to expansion without the need for physical battery inventories.

Grid management is another factor shaping the debate. Swapping stations can recharge batteries during off-peak hours and potentially provide energy storage services to the grid. By smoothing demand, operators may reduce strain during peak periods. Analysts suggest that such integration could become more valuable as renewable energy capacity grows and grid balancing becomes more complex.

Beyond domestic deployment, Chinese firms have signalled ambitions to export swapping technology. Pilot projects have been announced in parts of Europe and Asia, though regulatory frameworks and consumer preferences vary widely. In markets where home charging is common and long-distance travel patterns differ, adoption may face distinct challenges. Even so, global interest in reducing charging bottlenecks has prompted automakers and policymakers to monitor developments closely.

Competition within China’s electric vehicle market remains intense. Dozens of manufacturers are vying for market share amid price competition and rapid technological upgrades. Infrastructure innovation has become a key differentiator. Companies capable of offering integrated ecosystems — spanning vehicle, battery, software and energy services — are viewed as better positioned to secure customer loyalty in a crowded field.

The 146,000-swap benchmark illustrates how quickly usage volumes can scale once infrastructure density reaches critical mass. Urban corridors linking major economic centres have seen particularly high utilisation rates, with drivers opting for swaps during peak commuting hours. Fleet operators report that predictable turnaround times improve route planning and asset productivity.

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.

Policy makers face a delicate balancing act. Digital infrastructure is viewed as critical to competitiveness, especially as countries race to develop generative AI capabilities. India’s large pool of engineers and its expanding start-up ecosystem make it an attractive base for AI research and deployment. Delaying capacity expansion could risk ceding ground to regional rivals in Southeast Asia or the Middle East, where governments are also courting hyperscale investment.

At the same time, climate resilience is rising on the national agenda. The country has set ambitious renewable energy targets and emphasised sustainable development in international forums. Integrating AI growth with environmental safeguards will test regulatory frameworks at both central and state levels.

New location expands company’s global infrastructure, while offering faster data processing, robust security measures and regulatory compliance

SINGAPORE – Media OutReach Newswire – 23 February 2026 – Anaplan, the global leader in AI‑driven scenario planning and analysis, today announced the launch of its new Amazon Web Services data center in Singapore. This strategic expansion is designed to accelerate digital transformation and empower businesses in Southeast Asia with advanced artificial intelligence capabilities for real-time planning and decision-making.

The new data center will significantly enhance Anaplan’s global infrastructure and offer faster data processing, improved security and regulatory compliance. These features are essential for protecting sensitive information and meeting local data sovereignty requirements, which is especially critical for industries such as public sector and financial services.

“The launch of Anaplan on AWS in Singapore represents a strategic milestone and reinforces our shared commitment to customers across Asia-Pacific,” said Carol Potts, general manager for North America ISV sales at AWS.

By leveraging the Anaplan platform, businesses in the region will gain access to leading AI and machine learning technologies, enabling them to:

• Optimize planning processes: AI-driven insights will help businesses make more informed, data-driven decisions in real-time, streamlining operations and improving efficiency.
• Enhance data security: The data center ensures that data remains within Singapore, adhering to local regulations.
• Drive AI innovation: Backed by a reliable and secure infrastructure, companies can scale their operations by embedding cutting-edge AI technology directly into cross-functional planning processes and workflows, empowering teams to move faster, make smarter decisions, and stay ahead of the competition.

“We are delighted to bring the Anaplan platform, including our new suite of role-based AI agents, to Singapore and the broader Southeast Asia region,” said Amit Bagga, managing director, APAC, at Anaplan. “Data sovereignty is a stringent requirement for our clients, and our new location ensures that their data remains within Singapore, adhering to local regulations. Plus, with Anaplan Intelligence, businesses can harness the power of AI to optimize and unify their finance, workforce, sales, and supply chain planning processes, gain deeper insights and make strategic decisions with confidence.”

This regional addition marks another milestone in Anaplan’s $500 million innovation roadmap, aimed at expanding the company’s global reach and supporting local businesses with the latest AI-driven planning and analytics technology. The company has also made other data center expansions in the Asia-Pacific region, including in India, Indonesia, and Australia, further solidifying its commitment to the region.

Hashtag: #Anaplan

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

About Anaplan

Anaplan is the only AI-driven scenario planning and analysis platform designed to optimize decision-making in today’s complex business environment so that enterprises can outpace their competition and the market. By building connections and collaboration across organizational silos, our platform intelligently surfaces key insights — so businesses can make the right decisions, right now. More than 2,500 of the world’s best brands, including nearly half of the Fortune 50, continually optimize their decision-making by planning with Anaplan. To learn more, visit www.anaplan.com.