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Deploying retail AI to scale personalisation and customer insight

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Optimising retail AI infrastructure drives the successful deployment of personalisation systems and real-time customer insight. Leaders are replacing static customer interaction patterns with data pipelines capable of modifying the user environment during a live session. Static layouts and broad segmentation rules fail to satisfy modern conversion targets. Deployments demonstrate that traditional demographic categorisation generates insufficient […]

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Omio scales travel product development using OpenAI models

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Omio integrates OpenAI models across its engineering operations to accelerate travel product development and launch booking interfaces. The multimodal travel platform coordinates operations with over 3,000 transportation providers across 47 countries. Omio explicitly rejects the superficial addition of technology to outdated internal processes. The company’s CTO, Tomas Vocetka, requires all internal functions to completely redesign

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Physical AI raises governance questions for autonomous systems

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Governance around Physical AI is becoming harder as autonomous AI systems move into robots, sensors, and industrial equipment. The issue is not only whether AI agents can complete tasks. It is how their actions are tested, monitored, and stopped when they interact with real-world systems. Industrial robotics already provides a large base for that discussion.

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NVIDIA and Google infrastructure cuts AI inference costs

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At the Google Cloud Next conference, Google and NVIDIA outlined their hardware roadmap designed to address the cost of AI inference at scale. The companies detailed the new A5X bare-metal instances, which run on NVIDIA Vera Rubin NVL72 rack-scale systems. Through hardware and software codesign, this architecture aims to deliver up to ten times lower

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Citizen developers now have their own Wingman

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A vibe-coding application creation company, Emergent, has released Wingman, an autonomous agent that can address and take control of the applications used to manage daily tasks. The company’s press release states: “The best technology should be accessible to everyone”, and cites the difficulty that users without a technical background have in creating software applications. It

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Meta has a competitive AI model but loses its open-source identity

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The open-source AI movement has never lacked for options. Mistral, Falcon, and a growing field of open-weight models have been available to developers for years. But when Meta threw its weight behind Llama, something shifted. A company with three billion users, vast compute resources, and the credibility of a tech giant was now building openly,

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Automating complex finance workflows with multimodal AI

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Finance leaders are automating their complex workflows by actively adopting powerful new multimodal AI frameworks. Extracting text from unstructured documents presents a frequent headache for developers. Historically, standard optical character recognition systems failed to accurately digitise complex layouts, frequently converting multi-column files, pictures, and layered datasets into an unreadable mess of plain text. The varied

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Microsoft Releases Phi-4-Reasoning-Vision-15B: A Compact Multimodal Model for Math, Science, and GUI Understanding

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Microsoft has released Phi-4-reasoning-vision-15B, a 15 billion parameter open-weight multimodal reasoning model designed for image and text tasks that require both perception and selective reasoning. It is a compact model built to balance reasoning quality, compute efficiency, and training-data requirements, with particular strength in scientific and mathematical reasoning and understanding user interfaces. https://arxiv.org/pdf/2603.03975 What the

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Multimodal AI: Real-World Use Cases, Limits & What You Need

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If you’ve ever explained a vacation using photos, a voice note, and a quick sketch, you already get multimodal AI: systems that learn from and reason across text, images, audio—even video—to deliver answers with more context. Leading analysts describe it as AI that “understands and processes different types of information at the same time,” enabling

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Multimodal Conversations Dataset: The Backbone of Next-Gen AI

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Imagine talking with a friend over a video call. You don’t just hear their words—you see their expressions, gestures, even the objects in their background. That blend of multiple modes of communication is what makes the conversation richer, more human, and more effective. AI is heading in the same direction. Instead of relying on plain

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