Organisations across public and private sectors are using Salesforce’s Agentforce to engage people whenever and wherever they need support.
From local governments to hospitals and education platforms, AI systems are transforming how services are delivered and accessed.
In the city of Kyle, Texas, an Agentforce-driven 311 app enables residents to report issues such as potholes or water leaks. The city plans to make the system voice-enabled, reducing traditional call volumes while maintaining a steady flow of service requests and faster responses.
At Pearson, AI enables students to access their online learning platforms instantly, regardless of their time zone. The company stated that the technology fosters loyalty by providing immediate assistance, rather than requiring users to wait for human support.
Meanwhile, UChicago Medicine utilises AI to streamline patient interactions, from prescription refills to scheduling, while ambient listening tools enable doctors to focus entirely on patients rather than typing notes.
Salesforce said Agentforce empowers organisations to save resources while enhancing trust, accessibility, and service quality. By meeting people on their own terms, AI enables more responsive and human-centred interactions across various industries.
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Amazon Web Services (AWS) and OpenAI have entered a $38 billion, multi-year partnership that will see OpenAI run and scale its AI workloads on AWS infrastructure. The seven-year deal grants OpenAI access to vast NVIDIA GPU clusters and the capacity to scale to millions of CPUs.
The collaboration aims to meet the growing global demand for computing power driven by rapid advances in generative AI.
OpenAI will immediately begin using AWS compute resources, with all capacity expected to be fully deployed by the end of 2026. The infrastructure will optimise AI performance by clustering NVIDIA GB200 and GB300 GPUs via Amazon EC2 UltraServers for low-latency, large-scale processing.
These clusters will support tasks such as training new models and serving inference for ChatGPT.
OpenAI CEO Sam Altman said the partnership would help scale frontier AI securely and reliably, describing it as a foundation for ‘bringing advanced AI to everyone.’ AWS CEO Matt Garman noted that AWS’s computing power and reliability make it uniquely positioned to support OpenAI’s growing workloads.
The move strengthens an already active collaboration between the two firms. Earlier this year, OpenAI’s models became available on Amazon Bedrock, enabling AWS clients such as Peloton, Thomson Reuters, and Comscore to adopt advanced AI tools.
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Meta has introduced a new Facebook update allowing group administrators to change their private groups to public while keeping members’ privacy protected. The company said the feature gives admins more flexibility to grow their communities without exposing existing private content.
All posts, comments, and reactions shared before the change will remain visible only to previous members, admins, and moderators. The member list will also stay private. Once converted, any new posts will be visible to everyone, including non-Facebook users, which helps discussions reach a broader audience.
Admins have three days to review and cancel the conversion before it becomes permanent. Members will be notified when a group changes its status, and a globe icon will appear when posting in public groups as a reminder of visibility settings.
Groups can be switched back to private at any time, restoring member-only access.
Meta said the feature supports community growth and deeper engagement while maintaining privacy safeguards. Group admins can also utilise anonymous or nickname-based participation options, providing users with greater control over their engagement in public discussions.
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Mercedes-Benz reported faster decisions and better on-time delivery at Celosphere 2025. Using Celonis within MO360, it unifies production and logistics data, extending visibility across every order, part, and process.
Order-to-delivery operations use AI copilots to forecast timelines, optimise sequencing, and cut delays. After-sales teams surface bottlenecks in service parts logistics and speed customer responses. Quality management utilises anomaly detection to identify deviations early, preventing them from impacting production output.
Executives say complete data transparency enables teams to act faster and with greater precision across production and supply chains. The approach helps anticipate change and react to market shifts. Hundreds of active users are expanding adoption as data-driven practices scale across the company.
Celonis positions process intelligence as the backbone that makes enterprise AI valuable. Integrated process data and business context create a live operational twin. The goal is moving from visibility to action, unlocking value through targeted fixes and intelligent automation.
Conference sessions highlighted broader momentum for process intelligence and AI in industry. Leaders discussed governance, standards, and measurable outcomes from digital platforms. Mercedes-Benz framed its results as proof that structured data and AI can lift performance at a global scale.
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Nissan and Monolith have extended their strategic partnership for three years to apply AI across more vehicle programmes in Europe. The collaboration supports Nissan. RE: Nissan Plans to Compress Development Timelines and Improve Operational Efficiency. Early outcomes are guiding a wider rollout.
Engineers at Nissan Technical Centre Europe will utilise Monolith to predict test results based on decades of data and simulations. Reducing prototypes and conducting targeted, high-value experiments enables teams to focus more effectively on design decisions. Ensuring both accuracy and coverage remains essential.
A prior project on chassis bolt joints saw AI recommend optimal torque ranges and prioritise the following best tests for engineers. Compared with the non-AI process, physical testing fell by 17 percent in controlled comparisons. Similar approaches are being prepared for future models beyond LEAF.
Leaders say that a broader deployment could halve testing time across European programmes if comparable gains are achieved. Governance encompasses rigorous validation before changes are deployed to production. Operational benefits include faster iteration cycles and reduced test waste.
Monolith’s toolkit includes next-test recommendation and anomaly detection to flag outliers before rework. Nissan frames the push as an innovation with sustainability benefits, cutting material use while maintaining quality across a complex supply chain. Partners will share results as adoption scales.
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AI summaries can speed learning, but an extensive study finds they often blunt depth and recall. More than 10,000 participants used chatbots or traditional web search to learn assigned topics. Those relying on chatbot digests showed shallower knowledge and offered fewer concrete facts afterwards.
Researchers from Wharton and New Mexico State conducted seven experiments across various tasks, including gardening, health, and scam awareness. Some groups saw the same facts, either as an AI digest or as source links. Advice written after AI use was shorter, less factual, and more similar across users.
Follow-up raters judged AI-derived advice as less informative and less trustworthy. Participants who used AI also reported spending less time with sources. Lower effort during synthesis reduces the mental work that cements understanding.
Findings land amid broader concerns about summary reliability. A BBC-led investigation recently found that major chatbots frequently misrepresented news content in their responses. The evidence suggests that to serves as support for critical reading, rather than a substitute for it.
The practical takeaway for learners and teachers is straightforward. Use AI to scaffold questions, outline queries, and compare viewpoints. Build lasting understanding by reading multiple sources, checking citations, and writing your own synthesis before asking a model to refine it.
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Nearly eight in ten UK secondary teachers say AI has forced a rethink of how assignments are set, a British Council survey finds. Many now design tasks either to deter AI use or to harness it constructively in lessons. Findings reflect rapid cultural and technological shifts across schools.
Approaches are splitting along two paths. Over a third of designers create AI-resistant tasks, while nearly six in ten purposefully integrate AI tools. Younger staff are most likely to adapt; yet, strong majorities across all age groups report changes to their practices.
Perceived impacts remain mixed. Six in ten worry about their communication skills, with some citing narrower vocabulary and weaker writing and comprehension skills. Similar shares report improvements in listening, pronunciation, and confidence, suggesting benefits for speech-focused learning.
Language norms are evolving with digital culture. Most UK teachers now look up slang and online expressions, from ‘rizz’ to ‘delulu’ to ‘six, seven’. Staff are adapting lesson design while seeking guidance and training that keeps pace with students’ online lives.
Long-term views diverge. Some believe AI could lift outcomes, while others remain unconvinced and prefer guardrails to limit misuse. British Council leaders say support should focus on practical classroom integration, teacher development, and clear standards that strike a balance between innovation and academic integrity.
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World Economic Forum President Borge Brende has warned that massive investments in AI and cryptocurrencies may create financial bubbles. Speaking in Berlin, he noted that $500 billion has been invested in AI this year, raising concerns about speculative bubbles in AI and cryptocurrency.
Brende described frontier technologies as a ‘big paradigm shift’ that could drive global growth, with potential productivity gains of up to 10% over the next decade. He noted that breakthroughs in medicine, synthetic biology, space, and energy could transform economies, but stressed that the benefits must be widely shared.
Geopolitical uncertainty remains a significant concern, according to Brende. He pointed to rising tensions between the US and China, calling it a race for technological dominance that could shape global power.
He also urged multilateral cooperation to address global challenges, including pandemics, cybercrime, and investment uncertainty.
Despite the disorder in world politics, Brende highlighted the resilience of economies like those in the US, China, and India. He called for patient investment strategies and stronger international coordination to ensure that new technologies translate into sustainable prosperity.
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Deutsche Telekom has joined the Theta Network as a strategic enterprise validator, alongside Google, Samsung and Sony. The company becomes the first major telecom provider to take part in securing the decentralised blockchain platform.
The partnership involves staking THETA tokens and operating validator nodes that support Theta’s layer-1 infrastructure for AI, cloud and media applications. Deutsche Telekom’s unit, T-Systems MMS, will manage the validator operations.
Theta Labs said the collaboration enhances network resilience and underlines growing enterprise interest in decentralised computing. The project’s EdgeCloud system is designed to distribute AI workloads across global nodes more efficiently.
Deutsche Telekom noted that Theta’s decentralised model aligns with its vision of providing reliable, scalable cloud and edge services for future digital ecosystems.
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Judges and employers are confronting a surge in AI-generated mistakes, from fabricated legal citations to inaccurate workplace data. Courts in the United States have already recorded hundreds of flawed filings, raising concerns about unchecked reliance on generative systems.
Experts urge professionals to treat AI as an assistant rather than an authority. Tools can support research and report writing, yet unchecked outputs often contain subtle inaccuracies that could mislead users or damage reputations.
Data scientist Damien Charlotin has identified nearly 500 court documents containing false AI-generated information within months. Even established firms have faced judicial penalties after submitting briefs with non-existent case references, underlining growing professional risks.
Workplace advisers recommend verifying AI results, protecting confidential information, and obtaining consent when using digital notetakers. Training and prompt literacy are becoming essential skills as AI tools continue shaping daily operations across industries.
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