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The training, announced on July 6, brings together the King Abdulaziz and His Companions Foundation for Giftedness and Creativity, known as Mawhiba, and Huawei as Saudi Arabia expands its pipeline of students capable of working across artificial intelligence, cloud computing, big data and telecommunications. The initiative forms part of a wider partnership that aims to train 500 beneficiaries in advanced technology fields.

Participants are being exposed to a mix of theoretical instruction and practical exercises, with the programme structured around real-world AI applications, global technology practices and workplace-based learning. The Shenzhen placement gives students direct access to one of Huawei’s main innovation centres, where they are expected to study how artificial intelligence tools are developed, deployed and integrated into digital infrastructure.

The programme covers core areas including AI fundamentals, machine learning, deep learning, foundation models and AI development tools. Its practical component is intended to help students move beyond classroom-level understanding into applied problem-solving, particularly in fields where AI systems are increasingly tied to business operations, public services and industrial automation.

Mawhiba’s role reflects its long-standing mandate to identify and support gifted students, while Huawei’s participation gives the programme an international industry dimension. The partnership is aimed at matching academic talent with technologies that are shaping labour-market demand, especially as Saudi Arabia increases investment in data centres, digital government, smart cities and automation.

The Shenzhen cohort follows the launch of the first joint Mawhiba-Huawei training track for Saudi university students in China. The programme is being presented as both a skills initiative and an international exposure opportunity, giving participants familiarity with advanced technology ecosystems outside the Kingdom.

Saudi Arabia has placed AI capacity-building at the centre of its digital transformation agenda. The Saudi Data and Artificial Intelligence Authority has been expanding training schemes for students, professionals and government leaders as part of efforts to create a national workforce capable of supporting data-driven economic diversification.

A separate programme at the authority’s headquarters in Riyadh began with 215 male and female students from 28 universities, giving participants training in data, artificial intelligence and advanced technologies. That initiative was designed to connect academic knowledge with practical experience in computer science, data science and AI, while aligning university outcomes with labour-market needs.

The scale of national AI training has grown sharply. More than 779,000 citizens have been trained through data and AI initiatives, including 9,775 specialists and 260 scientists and experts. More than 80 government leaders have also received training focused on the design and implementation of data and AI strategies.

The Mawhiba-Huawei programme adds a private-sector and cross-border layer to that domestic training push. For students, the China placement offers exposure to applied AI in a corporate setting. For policymakers, it supports an effort to create a wider base of young specialists who can work with global platforms while contributing to local technology goals.

Saudi Arabia’s AI strategy has increasingly focused on building human capital alongside infrastructure. The country has moved to strengthen data governance, support Arabic AI models, expand cloud capacity and encourage the adoption of emerging technologies across education, healthcare, finance, energy and government services.

The emphasis on training also reflects a growing recognition that AI adoption depends on more than hardware and software. Surveys and academic studies on generative AI use in Saudi Arabia show strong public engagement with AI tools, but also uneven technical understanding and concerns over privacy, misinformation, trust and responsible use. Structured training is therefore being treated as a way to improve both competence and confidence.

For universities, the programme underlines the pressure to update curricula as AI changes entry-level skill expectations. Employers in technology, finance, logistics and energy are increasingly looking for graduates who understand data handling, model behaviour, automation workflows and ethical safeguards. Programmes that combine classroom instruction with industry exposure are seen as a route to narrowing that gap.

The facility, announced on 7 July, is one of DXC’s largest global delivery hubs and brings together customer collaboration areas, an AI Hub, cybersecurity facilities, forensics labs, a Security Operations Centre and a Network Operations Centre. The centre is designed to help clients identify high-value AI use cases, test prototypes, integrate them with legacy platforms and operate them at scale.

The move comes as large companies are under pressure to modernise complex technology estates without disrupting core systems that run banking, insurance, manufacturing, public sector services, travel and healthcare operations. For global IT services firms, the most valuable opportunity now lies not only in building new AI tools, but in attaching them safely to ageing systems of record, cloud platforms, data pipelines and cybersecurity controls.

DXC said the Bengaluru site includes immersive Customer Experience Zones, Fluid Collaboration Hubs, Ideation Studios, Co-Creation Labs and Partner Experience Zones. The structure signals a shift in IT outsourcing from back-office delivery to co-engineering, where clients, consultants and technology partners work together on proof-of-value projects before wider deployment.

Ramnath Venkataraman, president of consulting and engineering services at DXC Technology, said the centre would bring engineering talent closer to customers and partners. He said the objective was to “co-create, engineer, and scale AI-powered solutions” that address complex business challenges and move clients faster from ideas to outcomes.

Rob Le Busque, DXC’s president for Asia Pacific and Japan, described the centre as a base for AI innovation, engineering and customer collaboration. He said DXC was aiming to help customers build connected enterprises where people work alongside AI agents to engineer and run systems of record.

The investment reflects Bengaluru’s continuing pull as a global technology hub. The city hosts a dense base of engineering talent, multinational technology development centres, enterprise software teams and start-up ecosystems. DXC already employs about 38,000 people in the country, making the new facility a strategic addition rather than a symbolic office expansion.

For DXC, the centre also arrives at a critical phase in its own turnaround. The company reported revenue of $12.64bn for fiscal 2026, down 1.8 per cent year on year, while adjusted EBIT stood at $970m. Fourth-quarter revenue was $3.13bn, down 1.2 per cent year on year, though bookings reached $3.3bn and the book-to-bill ratio stood at 1.07 times. Those figures underline both the pressure on legacy IT services revenue and the importance of higher-value modernisation work.

The enterprise AI market has moved beyond experimental chatbots and isolated productivity pilots. Large organisations are now seeking systems that can automate service operations, assist software engineering, improve fraud detection, support call-centre workflows, optimise supply chains and strengthen cyber response. The challenge is that many of these functions depend on decades-old enterprise platforms, heavily customised databases and compliance-heavy workflows.

That is where Bengaluru’s new DXC centre is positioned. Its AI Hub is intended to support hands-on development and testing, while the cyber and operations facilities allow clients to evaluate whether AI tools can be monitored, secured and maintained after deployment. This full-lifecycle approach is becoming central to enterprise modernisation, especially in sectors where downtime, data leakage or flawed automation can carry heavy financial and regulatory consequences.

The facility also strengthens DXC’s partner-led model. Its Partner Experience Zones are expected to support work with software, cloud, cybersecurity and platform companies. For IT services providers, alliances with hyperscalers and enterprise software vendors have become essential as clients seek hybrid solutions rather than single-vendor transformation programmes.

The latest figure, based on a mark-to-market valuation of listed and unlisted holdings, showed a S$49 billion rise for the financial year ended 31 March 2026. The increase reflected stronger performance from Singapore-based portfolio companies, gains from divestments and a broader recovery in public market valuations. The portfolio has doubled over the past decade, underlining the scale of Temasek’s role as one of Asia’s most influential investment groups.

Temasek invested S$51 billion during the year and divested S$31 billion, resulting in a net investment of S$20 billion. Its one-year shareholder return stood at 10.5 per cent in Singapore dollar terms, while its 10-year return was 7.1 per cent. The 20-year return was 6.8 per cent, a measure closely watched because Temasek is designed to generate long-term returns for Singapore rather than chase short-term market gains.

Artificial intelligence has become a central plank of the company’s next phase of growth. AI-related investments now account for about 6 per cent of its portfolio, with plans to raise that exposure to 10-15 per cent by 31 March 2031. Temasek has already taken positions linked to leading AI companies including OpenAI and Anthropic, while also targeting the wider infrastructure needed to support the technology.

The strategy is not limited to model developers. Temasek is looking across the AI value chain, including semiconductors, cloud service providers, data centres, energy systems, foundation models and software infrastructure. That wider approach reflects a belief that the economics of AI will not be captured only by consumer-facing platforms, but also by companies supplying chips, computing power, storage, power capacity and enterprise software.

Chief executive Dilhan Pillay has described AI adoption as a pivotal phase in the digitisation trend that Temasek has followed for more than a decade. The company’s approach is expected to combine direct investments, listed equities and private market exposure, with a preference for flexibility at a time when valuations across parts of the AI sector remain elevated.

The stronger annual performance also comes after Temasek moved to sharpen accountability within its investment structure. From April 2026, its portfolio has been organised into three broad segments: Singapore-based portfolio companies, global direct investments, and partnerships and funds. The change is intended to improve execution and give clearer visibility on how different parts of the portfolio contribute to returns.

Singapore-based companies remain an anchor of Temasek’s holdings. These include major stakes in groups tied to finance, telecommunications, transport, logistics, infrastructure and real estate. Their performance helped lift the portfolio during the year, even as Temasek continued to diversify beyond its home market.

The company has also increased attention on private credit, an asset class that has expanded as banks have retreated from some forms of lending and institutional investors have sought higher-yielding alternatives. Private credit currently accounts for about 2 per cent of Temasek’s portfolio, with a target of 5 per cent by 2031. The allocation is expected to provide recurring cash yield and a different risk profile from the predominantly equity-heavy portfolio.

Sustainable living remains another major investment theme. Temasek’s sustainable living portfolio rose to S$49 billion as of 31 March 2026, supported by commitments in renewable energy, power grids and transition technologies. Its portfolio emissions remained at about 21 million tonnes of carbon dioxide equivalent, around 30 per cent below 2020 levels, though the company has signalled that rising electricity demand, higher capital costs and exposure to emissions-intensive businesses may complicate its 2030 reduction target.

Temasek’s global exposure continues to reflect a balance between Asia and developed markets. Its earlier vulnerability to China-linked volatility had weighed on returns, prompting a more disciplined approach to capital allocation and risk management. The latest numbers suggest that portfolio adjustments, divestments and stronger listed-market performance have helped restore momentum.

Just a few years ago, conversations surrounding EV buying were dominated by battery size, driving range and acceleration. Those things still matter today, but they are no longer the whole story. As EVs move into the mainstream, buyer priorities are shifting toward practical, long-term considerations, including the post-purchase experience, charging convenience, straightforward servicing, and the enduring reliability of the brand. These factors increasingly shape purchasing decisions, and they also provide a useful lens through which to look at the VinFast VF 8, an all-electric mid-size SUV.

Designed by the legendary Italian design house Pininfarina, the all-electric D-segment SUV combines clean, modern styling with the practicality expected of a family vehicle. It delivers up to 493 km of NEDC driving range, produces up to 402 horsepower through a dual-motor AWD system, and comes equipped with Level 2 driver assistance technologies, a 15.6-inch infotainment display, and a spacious cabin designed for everyday comfort. In the UAE, buyers also benefit from a 10-year vehicle warranty, a 10-year unlimited-mileage battery warranty, alongside 24/7 roadside assistance and five years of free maintenance up to 100,000 km.

While the VF 8 already has plenty to offer on paper, the real challenge is making ownership feel effortless once the excitement of the purchase has passed. Recognizing that, VinFast has invested heavily in the ecosystem that supports its vehicles.

Earlier this year, the company signed agreements with 29 international aftersales partners as part of a broader plan to expand its global service network to more than 1,100 workshops across North America, Europe, the Middle East, and Asia during 2026. The company is also rolling out customer support initiatives such as software updates, battery inspections, and technical support throughout the ownership journey.

In the UAE specifically, VinFast works with Al Tayer Motors to provide local aftersales support while continuing to strengthen its regional service network through experienced local partners. In March, the company signed an MoU with PlusX Electric, a DEWA-approved charging provider, to extend support beyond the dealership network. The plan includes portable charging pods, on-demand mobile charging, and emergency roadside charging services. The goal is to reduce downtime and eliminate the awkward scenario of running low on charge far from a plug.

“VinFast is committed to building a long-term and comprehensive EV ecosystem in the UAE, one that gives customers confidence not only in the quality and performance of our electric vehicles, but also in the reliability and accessibility of the supporting infrastructure,” one executive of VinFast Middle East said in a press release.

The Middle East is entering an important stage of its EV journey, with governments investing in cleaner mobility and consumers enjoying more choices than ever before. As the market evolves, delivering a competitive vehicle is only part of the equation, while making ownership straightforward is becoming just as important. The VinFast VF 8 reflects that shift, pairing the features of a modern electric SUV with growing investments in charging, aftersales support, and customer service.

Hashtag: #VinFast #EV

https://me.vinfast.com/en

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

Luc reports to Cécile de Sousa, Chief Operating Officer, Asia Pacific & Middle East, Natixis CIB and Etienne Huret, Head of Portugal and India Hubs, Natixis.

He brings to the role nearly two decades of experience in Global Capability Center management and offshoring strategies, entrepreneurship, delivery, software engineering, financial markets, architecture, data, digital transformation and innovation.

Luc was instrumental in establishing Natixis Services in India, Natixis CIB’s technology and innovation hub in Bangalore. He previously held the position of Executive Director and Head of CIB Operations and IT and served on the Board of Directors at Natixis Services in India from 2021 until 2025. He then transitioned to Natixis Investment Managers in Paris, where he has been serving as Head of IT Production until his current appointment. Prior to joining the IT team at Natixis CIB in 2014, Luc gained experience as a Software Developer at Société Générale and Partners Advisers SA. He holds a Master’s degree in Electronic Engineering from Ecole Nationale d’Ingénieurs de Brest and an Executive MBA from HEC Paris.

In his new role as Chief Executive Officer, Luc will support the growth of Natixis Services in India and strengthen its integration within Natixis’s global processes.

Cécile de Sousa said, “It is with great pleasure that we welcome Luc back to Bangalore to lead our India center of expertise as it celebrates its five-year anniversary. He has been pivotal in setting up this crucial operation, and spearheading technology-driven transformation and process optimization. Luc’s extensive knowledge of our internal processes, coupled with his proven track record in India, positions him perfectly to assume the leadership responsibilities of Natixis Services in India.”

Etienne Huret said, “Luc’s appointment is a key milestone in our commitment to further developing Bangalore as a critical hub for the Groupe BPCE and Natixis businesses. I look forward to working with him closely as we continue to grow synergies between our Portugal and India hubs and collaborate closely with the Group on strategic initiatives.”

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

Natixis Corporate & Investment Banking

Natixis Corporate & Investment Banking is a leading global financial institution that provides advisory, investment banking, financing, corporate banking and capital markets services to corporations, financial institutions, financial sponsors and sovereign and supranational organizations worldwide.

Our teams of experts in close to 30 countries advise clients on their strategic development, helping them to grow and transform their businesses, and maximize their positive impact. Natixis CIB is committed to aligning its financing portfolio with a carbon neutrality path by 2050 while helping its clients reduce the environmental impact of their business.

As part of Groupe BPCE, the second largest banking group in France through the Banque Populaire and Caisse d’Epargne retail networks, Natixis CIB benefits from the Group’s financial strength and solid financial ratings (Standard & Poor’s: A+, Moody’s: A2, Fitch Ratings: A+, R&I: A+).

About Natixis Services in India

Natixis Services in India is a Center of Expertise for Groupe BPCE, a banking group of French origin, and its subsidiary, Natixis. Natixis Services in India delivers operational excellence and agile solutions by leveraging advanced technologies to address challenges in the banking industry. Natixis Services in India’s focus is on enhancing the client experience, mitigating risks, and strengthening competitive positioning. The team is committed to enriching career development opportunities within an inclusive and dynamic work environment.

The ranking places Alibaba Cloud among the region’s most advanced providers of agentic AI infrastructure and development platforms. The company achieved the highest scores across six of nine evaluation dimensions, with its full-stack agentic AI approach highlighted as a key differentiator. That framework spans infrastructure, foundation models, model services, enterprise development tools and deployment systems designed to help companies build AI agents capable of planning, reasoning and executing tasks across business workflows.

The recognition comes as agentic AI shifts from experimental pilots to enterprise adoption. The Asia and Oceania market for agentic AI software is projected to grow from $782 million in 2025 to $11.2 billion by 2030, implying a compound annual growth rate of about 94 per cent. The surge reflects demand from banks, retailers, logistics companies, manufacturers and public-sector organisations seeking systems that can automate multi-step work rather than merely generate text, code or images.

Alibaba Cloud’s pitch rests on a vertically integrated stack. Its Qwen foundation models underpin a growing range of cloud services, while Model Studio gives developers access to Qwen-Max, Qwen-Plus, Qwen-Turbo, Qwen-VL, Wan and other model families. The company has also been expanding Platform for AI, Lingjun infrastructure and agent-building toolkits intended to make AI deployment easier for enterprises that lack large in-house research teams.

The company’s Singapore push has become central to its international AI strategy. At its first international Qwen Conference in Singapore in May, Alibaba Cloud introduced Qwen3.7-Max through Model Studio in the Singapore region, unveiled Qwen Cloud as an AI-native platform, and launched agent products aimed at helping companies build and manage autonomous systems. The Skills portal converts capabilities across more than 60 cloud products into agent-callable functions, allowing AI agents to interact with databases, security tools, big-data services and operations systems.

Alibaba Cloud’s commercial momentum has also improved. Cloud Intelligence Group revenue rose 38 per cent year on year to RMB41.63 billion in the January-March quarter, while external cloud revenue grew 40 per cent. AI-related products accounted for about 30 per cent of external cloud revenue and delivered triple-digit growth for the eleventh consecutive quarter. Annualised AI-related product revenue surpassed RMB35.8 billion, indicating that enterprise demand has moved beyond proof-of-concept budgets.

The company is investing heavily to defend that position. Alibaba has indicated that spending on AI and cloud infrastructure will exceed its earlier three-year plan of up to RMB380 billion, as executives prioritise market share and capacity expansion over near-term margins. That strategy carries risks. The group’s earnings have been pressured by high capital expenditure, competition in commerce and infrastructure costs linked to advanced computing demand.

The broader market remains intensely contested. Regional and global cloud providers are building agentic AI platforms that combine foundation models, orchestration layers, retrieval systems, governance tools and specialised compute. Amazon Web Services, Microsoft Azure, Google Cloud, Huawei Cloud, Tencent Cloud and Baidu AI Cloud are all competing for enterprise workloads tied to automation, coding agents, customer-service agents and industry-specific decision systems.

Alibaba Cloud’s advantage in Asia rests partly on its ability to link AI models with commerce, logistics, finance, cloud and developer ecosystems. Its Qwen family has gained traction among developers because of open-source releases and multilingual capabilities, while its enterprise services are being positioned for customers that need lower latency, data-residency options and region-specific compliance controls. The company also benefits from its leadership in Asia-Pacific infrastructure-as-a-service revenue, where it held a 22.5 per cent regional share in 2025.

The agentic AI market, however, faces unresolved issues around reliability, accountability and security. Autonomous agents can call tools, access corporate data and act across software systems, raising concerns over permission controls, audit trails, hallucinated actions and exposure of sensitive information. Enterprise buyers are increasingly looking for guardrails, monitoring, role-based access and human approval mechanisms before allowing agents to handle financial, legal or operational decisions.