Google and Salesforce deepen AI partnership across Agentforce 360 and Gemini Enterprise

Salesforce and Google have expanded their long-term partnership, introducing new integrations between Salesforce’s Agentforce 360 platform and Google’s Gemini Enterprise. The collaboration aims to enhance productivity and build a new foundation for intelligent, connected business operations.

Through the expansion, Gemini models now power Salesforce’s Atlas Reasoning Engine, combining multimodal intelligence with hybrid reasoning to improve how AI agents handle complex, multistep enterprise tasks.

These integrations also extend across Google Workspace, bringing Agentforce 360 capabilities directly into Gmail, Meet, Docs, Sheets and Drive for sales, service and IT teams.

Salesforce highlights that fine-tuned Gemini models outperform competing LLMs on key CRM benchmarks, enabling businesses to automate workflows more reliably and consistently.

The companies also reaffirm their commitment to open standards like Model Context Protocol and Agent2Agent, allowing multi-agent collaboration and interoperability across enterprise systems.

A partnership that further integrates Gemini Enterprise with Slack’s real-time search API, enabling users to draw insights directly from organisational data within conversations.

Both companies stress that these advances mark a major step toward an ‘Agentic Enterprise’, where AI systems work alongside people to drive innovation, improve service quality and streamline decision-making.

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Microsoft warns of a surge in ransomware and extortion incidents

Financially motivated cybercrime now accounts for the majority of global digital threats, according to Microsoft’s latest Digital Defense Report.

The company’s analysts found that over half of all cyber incidents with known motives in the past year were driven by extortion or ransomware, while espionage represented only a small fraction.

Microsoft warns that automation and accessible off-the-shelf tools have allowed criminals with limited technical skills to launch widespread attacks, making cybercrime a constant global threat.

The report reveals that attackers increasingly target critical services such as hospitals and local governments, where weak security and urgent operational demands make them easy victims.

Cyberattacks on these sectors have already led to real-world harm, from disrupted emergency care to halted transport systems. Microsoft highlights that collaboration between governments and private industry is essential to protect vulnerable sectors and maintain vital services.

While profit-seeking criminals dominate by volume, nation-state actors are also expanding their reach. State-sponsored operations are growing more sophisticated and unpredictable, with espionage often intertwined with financial motives.

Some state actors even exploit the same cybercriminal networks, complicating attribution and increasing risks for global organisations.

Microsoft notes that AI is being used by both attackers and defenders. Criminals are employing AI to refine phishing campaigns, generate synthetic media and develop adaptive malware, while defenders rely on AI to detect threats faster and close security gaps.

The report urges leaders to prioritise cybersecurity as a strategic responsibility, adopt phishing-resistant multifactor authentication, and build strong defences across industries.

Security, Microsoft concludes, must now be treated as a shared societal duty rather than an isolated technical task.

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AI Infrastructure Partnership and BlackRock consortium acquire Aligned Data Centers

A consortium comprising the Artificial Intelligence Infrastructure Partnership, MGX, and BlackRock’s Global Infrastructure Partners has announced the acquisition of Aligned Data Centers for an estimated forty billion dollars.

The move marks a major step towards expanding the infrastructure underpinning global AI and cloud growth.

Aligned, headquartered in Dallas, operates more than fifty campuses and five gigawatts of capacity across the US and Latin America. The company is known for its patented air, liquid, and hybrid cooling systems that enhance efficiency and sustainability, particularly in high-density AI environments.

Under the consortium, Aligned will accelerate the development of scalable and energy-efficient data facilities to meet rising global demand.

The Artificial Intelligence Infrastructure Partnership was founded by BlackRock, GIP, MGX, Microsoft, and NVIDIA to advance large-scale AI infrastructure investment.

Backed by sovereign wealth funds from Kuwait and Singapore, it aims to mobilise thirty billion dollars in equity and up to one hundred billion, including debt.

The Aligned acquisition represents its first major investment and positions the company as a cornerstone of the group’s strategy.

Executives from BlackRock, MGX, and GIP said the deal reflects a shared commitment to building sustainable, resilient infrastructure for the AI era.

Aligned CEO Andrew Schaap added that the partnership would strengthen the company’s global reach and innovation capacity, redefining standards for digital infrastructure in an increasingly AI-driven economy.

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Oracle and Microsoft partner to bring real-time AI insights into supply chains

Oracle announced a collaboration with Microsoft aimed at improving supply chain responsiveness and efficiency. The project centres on a new integration blueprint that bridges Oracle Fusion Cloud SCM with Microsoft Azure IoT Operations and Microsoft Fabric.

Under this plan, sensor and equipment data from factory floors is captured in real time via Azure IoT and forwarded through Fabric. That data will then feed directly into Oracle SCM workflows.

The goal: more visibility, faster decisions and automated responses, such as triggering maintenance, quality checks or inventory adjustments.

Among the features highlighted are secure, real-time intelligence and data flows from shop floor equipment into enterprise systems, automated business events that respond to changes (e.g. imbalance, faults, demand shifts), standardised best practices with reference architectures and prescriptive guidance for integration and embedded AI assistant capabilities in SCM to augment decision making and resilience.

Oracle frames this as part of its Smart Operations vision, where systems are more connected and responsive by design. Microsoft emphasises that Azure’s edge processing and Fabric’s real-time analytics are critical to turning raw IoT signals into actionable business events.

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Starcloud launches data centres into space

A new era in data technology is emerging as Starcloud, a member of NVIDIA’s Inception startup program, prepares to send its first AI-driven satellite into orbit next month.

The mission marks the debut of NVIDIA’s H100 GPU in space and represents a decisive step toward the creation of large-scale orbital data centres designed to meet the planet’s soaring demand for AI.

By operating data centres in space, Starcloud aims to cut energy costs by tenfold and significantly reduce carbon emissions. The vacuum of space will serve as a natural cooling system, while constant exposure to solar energy will eliminate the need for batteries or backup power.

According to CEO Philip Johnston, the only environmental cost will come from the launch itself, resulting in substantial carbon savings over the data centre’s lifetime.

Starcloud’s technology could transform how Earth observation data is processed. Instead of transmitting raw information back to the ground, satellites will analyse it in real time, improving responses to wildfires, weather changes, and agricultural needs.

The company plans to run Google’s open AI model Gemma on its satellite and eventually integrate NVIDIA’s next-generation Blackwell GPUs, boosting computing power even further.

Johnston predicts that within a decade, most new data centres will be built in orbit. If achieved, Starcloud’s innovation could mark the beginning of a sustainable digital revolution powered by the stars instead of the grid.

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Meta expands AI infrastructure with sustainable data centre in El Paso

The US tech giant, Meta, has begun construction on a new AI-optimised data centre in El Paso, Texas, designed to scale up to 1GW and power the company’s expanding AI ambitions.

The 29th in Meta’s global network, the site will support the next generation of AI models, underpinning technologies such as smart glasses, AI assistants, and real-time translation tools.

A data centre project that represents a major investment in both technology and the local community, contributing over $1.5 billion and creating about 1,800 construction jobs and 100 operational roles in its first phase.

Meta’s Community Accelerator programme will also help local businesses build digital and AI skills, while Community Action Grants are set to launch in El Paso next year.

Environmental sustainability remains central to the development. The data centre will operate on 100% renewable energy, with Meta covering the costs of new grid connections through El Paso Electric.

Using a closed-loop cooling system, the facility will consume no water for most of the year, aligning with Meta’s target to be water positive by 2030. The company plans to restore twice the amount of water used to local watersheds through partnerships with DigDeep and the Texas Water Action Collaborative.

The El Paso project, Meta’s third in Texas, underscores its long-term commitment to sustainable AI infrastructure. By combining efficiency, clean energy, and community investment, Meta aims to build the foundations for a responsible and scalable AI-driven future.

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Google and World Bank join forces to build AI-driven public infrastructure

Google and the World Bank Group have announced a partnership to develop AI-powered digital infrastructure for emerging markets. The collaboration aims to accelerate digital transformation by deploying Open Network Stacks that make essential public services more accessible.

The initiative combines Google Cloud’s Gemini AI models with the World Bank Group’s development expertise to help governments build interoperable networks in key areas such as healthcare, agriculture and education. Citizens will be able to access these services in over 40 languages, even on basic devices.

A successful pilot project in India’s Uttar Pradesh demonstrated how AI can improve livelihoods, with smallholder farmers increasing profitability through digital tools.

To support long-term growth, Google.org is funding a new nonprofit, Networks for Humanity, which will build universal digital infrastructure, create regional innovation labs and test social impact applications globally.

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Teen content on Instagram now guided by PG-13 standards

Instagram is aligning its Teen Accounts with PG-13 movie standards, aiming to ensure that users under 18 only see age-appropriate material. Teens will automatically be placed in a 13+ setting and will need parental permission to change it.

Parents who want tighter supervision can activate a new ‘Limited Content’ mode that filters out even more material and restricts comments and AI interactions.

The company reviewed its policies to match familiar parental guidelines, further limiting exposure to content with strong language, risky stunts, or references to substances. Teens will also be blocked from following accounts that share inappropriate content or contain suggestive names and bios.

Searches for sensitive terms such as ‘gore’ or ‘alcohol’ will no longer return results, and the same restrictions will extend to Explore, Reels, and AI chat experiences.

Instagram worked with thousands of parents worldwide to shape these policies, collecting more than three million content ratings to refine its protections. Surveys show strong parental support, with most saying the PG-13 system makes it easier to understand what their teens are likely to see online.

The updates begin rolling out in the US, UK, Australia, and Canada and will expand globally by the end of the year.

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Argentina poised to host Latin America’s first Stargate AI project

Argentina is set to become the host of Latin America’s first Stargate project, a major AI infrastructure initiative powered by clean energy. Led by Sur Energy with OpenAI, the plan aims to make Argentina a regional and global AI leader while boosting economic growth.

OpenAI and Sur Energy have signed a Letter of Intent to explore building a large-scale data centre in Argentina. Sur Energy will lead the consortium responsible for developing the project, ensuring that the ecosystem is powered by secure, efficient, and sustainable energy sources.

OpenAI is expected to be a key offtaker for the facility.

The project follows high-level talks in Buenos Aires between President Javier Milei, government ministers, and an OpenAI delegation led by Chris Lehane. With AI use tripling and millions using ChatGPT, Argentina ranks among Latin America’s top AI developers, making it an ideal choice for the project.

As part of OpenAI’s OpenAI for Countries initiative, discussions are underway to integrate AI tools into government operations. CEO Sam Altman said the project represents ‘more than just infrastructure’ and will help make Argentina an AI hub for Latin America.

Sur Energy’s Emiliano Kargieman called it a historic opportunity that combines renewable energy with digital innovation to create jobs and attract global investment.

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Tokens-at-scale with Intel’s Crescent Island and Xe architecture

Intel unveils ‘Crescent Island’ data-centre GPU at OCP, targeting real-time, everywhere inference with high memory capacity and energy-efficient performance for agentic AI.

Sachin Katti said scaling complex inference needs heterogeneous systems and an open, developer-first stack; Intel positions Xe architecture GPUs to deliver efficient headroom as token volumes surge.

Intel’s approach spans AI PC to data centre and edge, pairing Xeon 6 and GPUs with workload-centric orchestration to simplify deployment, scaling, and developer continuity.

Crescent Island is designed for air-cooled enterprise servers, optimised for power and cost, and tuned for inference with large memory capacity and bandwidth.

Key features include the Xe3P microarchitecture for performance-per-watt gains, 160GB LPDDR5X, broad data-type support for ‘tokens-as-a-service’, and a unified software stack proven on Arc Pro B-Series; customer sampling is slated for H2 2026.

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