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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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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Mustafa Suleyman, CEO of Microsoft AI, argues that AI should be built for people, not to replace them. Growing belief in chatbot consciousness risks campaigns for AI rights and a needless struggle over personhood that distracts from human welfare.
Debates over true consciousness miss the urgent issue of convincing imitation. Seemingly conscious AI may speak fluently, recall interactions, claim experiences, and set goals that appear to exhibit agency. Capabilities are close, and the social effects will be real regardless of metaphysics.
People already form attachments to chatbots and seek meaning in conversations. Reports of dependency and talk of ‘AI psychosis‘ show persuasive systems can nudge vulnerable users. Extending moral status to uncertainty, Suleyman argues, would amplify delusions and dilute existing rights.
Norms and design principles are needed across the industry. Products should include engineered interruptions that break the illusion, clear statements of nonhuman status, and guardrails for responsible ‘personalities’. Microsoft AI is exploring approaches that promote offline connection and healthy use.
A positive vision keeps AI empowering without faking inner life. Companions should organise tasks, aid learning, and support collaboration while remaining transparently artificial. The focus remains on safeguarding humans, animals, and the natural world, not on granting rights to persuasive simulations.
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Perplexity has unveiled new privacy features for its AI-powered browser, Comet, designed to give users clearer control over their data. The updates include a new homepage widget called Privacy Snapshot, which allows people to review and adjust privacy settings in one place.
The widget provides a real-time view of how Comet protects users online and simplifies settings for ad blocking, tracker management and data access. Users can toggle permissions for the Comet Assistant directly from the homepage.
Comet’s updated AI Assistant settings now show precisely how data is used, including where it is stored locally or shared for processing. Sensitive information such as passwords and payment details remain securely stored on the user’s device.
Perplexity said the changes reinforce its ‘privacy by default’ approach, an important principle in EU data protection law, combining ad blocking, safe browsing and transparent data handling. The new features are available in the latest Comet update across desktop and mobile platforms.
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Microsoft’s AI head, Mustafa Suleyman, has dismissed the idea that AI could ever become conscious, arguing that consciousness is a property exclusive to biological beings.
Speaking at the AfroTech Conference in Houston, Suleyman said researchers should stop exploring the notion of sentient AI, calling it ‘the wrong question’.
He explained that while AI can simulate experience, it cannot feel pain or possess subjective awareness.
Suleyman compared AI’s output to a narrative illusion rather than genuine consciousness, aligning with the philosophical theory of biological naturalism, which ties awareness to living brain processes.
Suleyman has become one of the industry’s most outspoken critics of conscious AI research. His book ‘The Coming Wave’ and his recent essay ‘We must build AI for people;’ not to be a person warn against anthropomorphising machines.
He also confirmed that Microsoft will not develop erotic chatbots, a direction that has been embraced by competitors such as OpenAI and xAI.
He stressed that Microsoft’s AI systems are designed to serve humans, not mimic them. The company’s Copilot assistant now includes a ‘real talk’ mode that challenges users’ assumptions instead of offering flattery.
Suleyman said responsible development must avoid ‘unbridled accelerationism’, adding that fear and scepticism are essential for navigating AI’s rapid evolution.
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Researchers at the University of Surrey have developed a new method to enhance AI by imitating how the human brain connects information. The approach, called Topographical Sparse Mapping, links each artificial neuron only to nearby or related ones, replicating the brain’s efficient organisation.
According to findings published in Neurocomputing, the structure reduces redundant connections and improves performance without compromising accuracy. Senior lecturer Dr Roman Bauer said intelligent systems can now be designed to consume less energy while maintaining power.
Training large models today often requires over a million kilowatt-hours of electricity, a trend he described as unsustainable.
An advanced version, Enhanced Topographical Sparse Mapping, introduces a biologically inspired pruning process that refines neural connections during training, similar to how the brain learns.
Researchers believe that the system could contribute to more realistic neuromorphic computers, which simulate brain functions to process data more efficiently.
The Surrey team said that such a discovery may advance generative AI systems and pave the way for sustainable large-scale model training. Their work highlights how lessons from biology can shape the next generation of energy-efficient computing.
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