Cloud computing Archives | Page 36 of 56 | Digital Watch Observatory

Alibaba shares soar on AI and cloud growth

Alibaba’s Hong Kong shares rose over 15%, their most significant single-day gain since early 2023, following strong AI revenue growth. AI-related sales surged triple digits, and the cloud division grew 26% to 33.4 billion yuan ($4.7 billion), exceeding expectations and driving expansion.

The results underline Alibaba’s transformation from a retail-heavy company into a diversified technology player. Analysts say AI is now a central growth driver, with cloud and AI offerings boosting investor confidence despite price war pressures from JD.com and Meituan.

Alibaba is investing in AI hardware and developing proprietary chips to reduce reliance on foreign semiconductors. The strategy aims to build faster, cheaper, and more secure AI systems for domestic and international markets, including Lazada and AliExpress.

Experts view this calculated self-reliance and strong cloud and AI services as a long-term growth driver.

While retail rivals continue to struggle with profit pressure, Alibaba’s leadership has emphasised AI as a core strategic focus.

CEO Eddie Wu emphasised ambitions in artificial general intelligence, with analysts noting AI could protect Alibaba from price wars and support growth across multiple business areas.

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Apple creates Asa chatbot for staff training

Apple is moving forward with its integrated approach to AI by testing an internal chatbot designed for retail training. The company focuses on embedding AI into existing services rather than launching a consumer-facing chatbot like Google’s Gemini or ChatGPT.

The new tool, Asa, is being tested within Apple’s SEED app, which offers training resources for store employees and authorised resellers. Asa is expected to improve learning by allowing staff to ask open-ended questions and receive tailored responses.

Screenshots shared by analyst Aaron Perris show Asa handling queries about device features, comparisons, and use cases. Although still in testing, the chatbot is expected to expand across Apple’s retail network in the coming weeks.

The development occurs amid broader AI tensions, as Elon Musk’s xAI sued Apple and OpenAI for allegedly colluding to limit competition. Apple’s focus on internal AI tools like Asa contrasts with Musk’s legal action, highlighting disputes over AI market dominance and platform integration.

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Walmart rolls out AI agents to transform shopping and operations

Walmart has unveiled four AI agents to ease the workloads of shoppers, employees, and suppliers. The tools, revealed at the company’s Retail Rewired event, include Marty for suppliers, Sparky for customers, an Associate Agent for staff, and a Developer Agent.

The retailer is leaning on AI as inflation, tariffs, and policy pressures weigh on consumer spending. Its agents cover payroll, time-off requests, merchandising, and personalised shopping recommendations.

Sparky is set to eventually handle automatic reordering of staples, aiming to simplify everyday restocking for households.

Walmart is also investing in ‘digital twins,’ virtual replicas of stores that allow early detection of operational issues. The company says this technology cut emergency alerts by 30% last year and reduced refrigeration maintenance costs by nearly a fifth.

Machine learning is further being applied to improve delivery-time predictions, helping to boost efficiency and customer satisfaction.

Rival retailers are making similar moves. Amazon reported a surge in generative AI use during its Prime Day sales, while Google Cloud AI has partnered with Lush to cut training costs.

Analysts suggest such tools could reshape the retail experience as companies search for ways to hold margins in a tighter economy.

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Stethoscope with AI identifies heart issues in seconds

A new stethoscope powered by AI could enable doctors to identify three serious heart conditions in just seconds, according to UK researchers.

The device replaces the traditional chest piece with a small sensor that records both electrical signals from the heart and the sound of blood flow, which are then analysed in the cloud by AI trained on large datasets.

The AI tool has shown strong results in trials across more than 200 GP practices, with patients tested using the stethoscope being more than twice as likely to be diagnosed with heart failure within 12 months compared with those assessed through usual care.

It was also 3.45 times more likely to detect atrial fibrillation and almost twice as likely to identify heart valve disease.

Researchers from Imperial College London and Imperial College Healthcare NHS Trust said the technology could help doctors provide treatment at an earlier stage instead of waiting until patients present in hospital with advanced symptoms.

The findings, known as Tricorder, will be presented at the European Society of Cardiology Congress in Madrid.

The project, supported by the National Institute for Health and Care Research, is now preparing for further rollouts in Wales, south London and Sussex. Experts described the innovation as a significant step in updating a medical tool that has remained largely unchanged for over 200 years.

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How local LLMs are changing AI access

As AI adoption rises, more users explore running large language models (LLMs) locally instead of relying on cloud providers.

Local deployment gives individuals control over data, reduces costs, and avoids limits imposed by AI-as-a-service companies. Users can now experiment with AI on their own hardware thanks to software and hardware capabilities.

Concerns over privacy and data sovereignty are driving interest. Many cloud AI services retain user data for years, even when privacy assurances are offered.

By running models locally, companies and hobbyists can ensure compliance with GDPR and maintain control over sensitive information while leveraging high-performance AI tools.

Hardware considerations like GPU memory and processing power are central to local LLM performance. Quantisation techniques allow models to run efficiently with reduced precision, enabling use on consumer-grade machines or enterprise hardware.

Software frameworks like llama.cpp, Jan, and LM Studio simplify deployment, making local AI accessible to non-engineers and professionals across industries.

Local models are suitable for personalised tasks, learning, coding assistance, and experimentation, although cloud models remain stronger for large-scale enterprise applications.

As tools and model quality improve, running AI on personal devices may become a standard alternative, giving users more control over cost, privacy, and performance.

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India to host OpenAI’s new Stargate data centre

OpenAI is preparing to build a significant new data centre in India as part of its Stargate AI infrastructure initiative. The move will expand the company’s presence in Asia and strengthen its operations in its second-largest market by user base.

OpenAI has already registered as a legal entity in India and begun assembling a local team.

The company plans to open its first office in New Delhi later this year. Details regarding the exact location and timeline of the proposed data centre remain unclear, though CEO Sam Altman may provide further information during his upcoming visit to India.

The project represents a strategic step to support the company’s growing regional AI ambitions.

OpenAI’s Stargate initiative, announced by US President Donald Trump in January, involves private sector investment of up to $500 billion for AI infrastructure, backed by SoftBank, OpenAI, and Oracle.

The initiative seeks to develop large-scale AI capabilities across major markets worldwide, with the India data centre potentially playing a key role in the efforts.

The expansion highlights OpenAI’s focus on scaling its AI infrastructure while meeting regional demand. The company intends to strengthen operational efficiency, improve service reliability, and support its long-term growth in Asia by establishing local offices and a significant data centre.

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France and Germany unite on digital sovereignty, AI, quantum and cloud technologies

The Franco-German Ministerial Council announced a joint Economic Agenda aiming to strengthen the bilateral partnership in strategic areas, and to foster sovereignty in Europe. The Agenda proposes ‘flagship projects’ across key policy fields like energy, trade, industry, cutting-edge technologies, digital sovereignty, labour, and finance.

The document mainstreams the importance of digital sovereignty and advanced technologies, as Europe faces growing geopolitical and economic pressures. A key milestone will be the European Digital Sovereignty Summit on 18 November 2025, which aims to align EU institutions, member states, industry, and other stakeholders around a shared strategy for digital sovereignty and coordinated funding.

Both governments also committed to strengthening cloud sovereignty, with special attention paid to sensitive data and jurisdiction issues.

Within the context of the public administration, the agenda promotes closer alignment of digital workplace tools, such as France’s ‘La Suite numérique’ and Germany’s ‘OpenDesk’, with the ambition of building a Franco-German digital ecosystem for public services.

Paris and Berlin will also submit a joint proposal to the European Commission to simplify and better coordinate EU regulations in AI, cybersecurity, and data areas.

The two countries committed to strengthening joint efforts in AI, quantum computing, cloud, and space technologies, supporting collaborative research and industrial projects.

The Agenda combines bilateral cooperation on infrastructure and governance, aiming to strengthen Europe’s technological sovereignty.

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Schneider joins SK Telecom on new AI data centre project in Ulsan

SK Telecom has expanded its partnership with Schneider Electric to develop an AI Data Centre (AIDC) in Ulsan.

Under the deal, Schneider Electric will supply mechanical, electrical and plumbing equipment, such as switchgear, transformers, automated control systems and Uninterruptible Power Supply units.

The agreement builds on a partnership announced at Mobile World Congress 2025 and includes using Schneider’s Electrical Transient Analyser Program within SK Telecom’s data centre management system.

It will allow operations to be optimised through a digital twin model instead of relying only on traditional monitoring tools.

Both companies have also agreed on prefabricated solutions to shorten construction times, reference designs for new facilities, and joint efforts to grow the Energy-as-a-Service business.

A Memorandum of Understanding extends the partnership to other SK Group affiliates, combining battery technologies with Uninterruptible Power Supply and Energy Storage Systems.

Executives said the collaboration would help set new standards for AI data centres and create synergies across the SK Group. It is also expected to support SK Telecom’s broader AI strategy while contributing to sustainable and efficient infrastructure development.

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Salesforce customers hit by OAuth token breach

Security researchers have warned Salesforce customers after hackers stole data by exploiting OAuth access tokens linked to the Salesloft Drift integration, highlighting critical cybersecurity flaws.

Google’s Threat Intelligence Group (GTIG) reported that the threat actor UNC6395 used the tokens to infiltrate hundreds of Salesforce environments, exporting large volumes of sensitive information. Stolen data included AWS keys, passwords, and Snowflake tokens.

Experts warn that compromised SaaS integrations pose a central blind spot, since attackers inherit the same permissions as trusted apps and can often bypass multifactor authentication. Investigations are ongoing to determine whether connected systems, such as AWS or VPNs, were also breached.

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Claude chatbot misused in unprecedented cyber extortion case

A hacker exploited Anthropic’s Claude chatbot to automate one of the most extensive AI-driven cybercrime operations yet recorded, targeting at least 17 companies across multiple sectors, the firm revealed.

According to Anthropic’s report, the attacker used Claude Code to identify vulnerable organisations, generate malicious software, and extract sensitive files, including defence data, financial records, and patients’ medical information.

The chatbot then sorted the stolen material, identified leverage for extortion, calculated realistic bitcoin demands, and even drafted ransom notes and extortion emails on behalf of the hacker.

Victims included a defence contractor, a financial institution, and healthcare providers. Extortion demands reportedly ranged from $75,000 to over $500,000, although it remains unclear how much was actually paid.

Anthropic declined to disclose the companies affected but confirmed new safeguards are in place. The firm warned that AI lowers the barrier to entry for sophisticated cybercrime, making such misuse increasingly likely.

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