AI Infrastructure Needs a Workload-First Strategy

Why AI Infrastructure Needs a Workload-First Approach

As enterprise AI workloads move from experimentation into production, infrastructure decisions are becoming less about buying more compute and more about using existing resources efficiently. A new blueprint from Info-Tech Research Group argues that enterprises should design AI infrastructure around workload requirements, balancing compute, memory, storage, networking and physical infrastructure rather than treating hardware capacity…

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AEM Expands AI Environmental Intelligence Platform

AEM Expands Environmental Intelligence Suite With AI

AEM has expanded its Elements application suite with Elements Weather and Elements Protect, adding forecast-driven planning and real-time safety response to its existing Elements 360 platform. Built on AEM’s Elements Resiliency Platform, the applications combine environmental data, sensor networks, meteorological services and AI-driven intelligence to help organizations manage weather and other environmental risks. Environmental intelligence…

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TII Unveils UAE Probe for Asteroid Justitia Mission

TII Reveals Autonomous Probe for UAE Asteroid Mission

The Technology Innovation Institute (TII) has unveiled the UAE-built probe that will land on asteroid 269 Justitia as part of the Emirates Mission to the Asteroid Belt (EMA). Designed and tested in Abu Dhabi, the autonomous probe will travel with the MBR Explorer before separating for a close-range encounter with Justitia after an approximately five-billion-kilometer…

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Easy4Pro Expands AI Freight Ordering From Email

Easy4Pro Expands AI Freight Ordering With Email-Based Draft Assist

Easy4Pro is expanding its AI-powered Draft Assist feature, allowing logistics teams to turn shipment-request emails and their attachments into structured freight orders with less manual data entry. The update adds support for mixed shipment types, attached documents, contact information and internal references, extending an AI workflow that the transport management platform says has become one…

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Logistics Reply Sets Rules for Warehouse AI Agents

Logistics Reply Sets Authority Rules for Warehouse AI

Logistics Reply has introduced the LEA AI Agent Authority Model, a framework designed to help warehouses deploy AI agents according to the risks and responsibilities of individual tasks rather than giving systems unrestricted autonomy. The model accompanies LEA Reply Dynamic Intelligence and arrives as AI moves from decision support toward direct participation in warehouse execution….

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Ankura Launches AI Practice for Enterprise Adoption

Ankura Launches AI Practice Focused on Enterprise Adoption

Ankura Consulting Group has launched AI by Design, a UK-based practice serving EMEA that focuses on helping enterprises turn artificial intelligence investments into measurable business outcomes through AI strategy, governance engineering and workforce transformation. Enterprise AI adoption is entering a phase where deploying a model is often only the beginning. Organizations now have to determine…

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Everpure Builds AI Data Layer Into Enterprise Storage

Everpure Adds Data Controls and AI Inference to Storage

Everpure is expanding its enterprise storage platform into AI data infrastructure with new capabilities for governed data discovery, Model Context Protocol access, accelerated inference and automated storage efficiency, targeting the gap between AI models and production enterprise data. Enterprise AI infrastructure is increasingly becoming a data-management problem. As organizations move from pilots to autonomous agents,…

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BCG: Enterprise AI Value Rises as Governance Lags

BCG Finds Enterprise AI Value Expanding as Governance Lags

Enterprise AI is moving beyond experimentation, with nearly half of companies now generating value from AI, according to Boston Consulting Group’s 2026 Applied AI Index. But as spending rises and companies prepare to give AI agents greater autonomy, governance and control systems are emerging as the next major challenge. The enterprise AI market is entering…

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SuperX Adds MaaS to Singapore AI Innovation Centre

SuperX Adds Model as a Service to Singapore AI Centre

SuperX is expanding its Singapore-based AI Innovation Centre with Model as a Service, allowing enterprises to access locally deployed AI models through APIs without managing model deployment and operations themselves. SuperX AI Technology is adding a model-serving layer to its Singapore AI infrastructure business, introducing AI Innovation Centre 2.0 (AIIC 2.0) with Model as a…

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