Docquity Expands Clinical AI Into Japan

Docquity Expands Clinical AI Platform Into Japan

Docquity is expanding its clinical AI platform into Japan through a deeper partnership with healthcare technology company exMedio, bringing its Ask Dx clinical AI assistant into specialist physician communities. The companies plan to develop AI-powered clinical support for Japanese doctors, initially focused on oncology, while exploring knowledge exchange between physician networks in Japan and Southeast…

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V-Key Invests in CloudsineAI for AI Security

V-Key Invests in CloudsineAI to Secure AI Agents

V-Key has made a strategic investment in Singapore-based CloudsineAI, combining its digital identity and application security capabilities with CloudsineAI’s AI cybersecurity technology. The companies are targeting a growing enterprise security problem: how to establish identity, control access and maintain traceability when AI agents increasingly act alongside humans across business systems. V-Key Targets the Identity Problem…

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Gnani AI Expands Sovereign AI Across the GCC

Gnani AI Takes Sovereign Conversation AI Into the GCC

Gnani AI is expanding its Ascent partner program into the Middle East, bringing its Conversation AI and customer-experience automation technology to enterprises across the GCC. The expansion combines Arabic language fine-tuning, resident deployment on customer infrastructure and enterprise-system integration, targeting regulated organizations that need conversational AI without giving up control over sensitive data. Gnani AI…

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GIGABYTE Brings NVIDIA AI to Local Systems

GIGABYTE Brings NVIDIA AI Supercomputing to Desktops

GIGABYTE is showcasing two NVIDIA-powered systems designed to bring high-performance AI development closer to developers and businesses: the compact AI TOP ATOM personal AI supercomputer and the W775-V10 desk-side AI workstation. The systems target local model development, fine-tuning and data-intensive workloads, giving smaller teams an alternative to immediately moving sensitive AI workloads into shared cloud…

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ServiceNow Launches AI Workflow Factory

ServiceNow Builds AI Workflow Factory for Enterprise AI

ServiceNow has launched AI Workflow Factory and Autonomous Engineer, two capabilities designed to help enterprises identify, build, deploy and continuously improve AI-powered workflows across legacy systems and business applications. Announced at World Forum Mumbai, the offerings position governed workflow automation as a way to close the gap between enterprise AI investment and production-scale execution. ServiceNow…

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AppWork Uses AI to Improve Maintenance Records

AppWork Uses AI to Turn Maintenance Notes Into Insights

AppWork has launched Enriched Completion Notes, an AppWork Intelligence capability that uses AI to transform brief technician work-order notes into fuller resident updates and structured maintenance records. The feature is designed to improve resident communication while giving multifamily property operators more usable data for reporting, risk management and repeat-issue detection. AI Moves Into the Last…

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Techman AI Cobots Gain IEC 62443 Cybersecurity

Techman Robot Adds IEC 62443 Security to AI Cobots

Techman Robot has secured IEC 62443-4-2 Security Level 2 (SL2) cybersecurity certification for its TM AI Cobot S Series following an independent assessment by DEKRA, adding an independently verified security layer to collaborative robots designed for connected manufacturing environments. AI Cobots Face a New Cybersecurity Requirement Industrial robots are becoming increasingly connected as manufacturers deploy…

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LogicMonitor Edwin AI Comes to ServiceNow via A2A

Work4Flow and LogicMonitor Bring A2A AI to ServiceNow

Work4Flow and LogicMonitor are collaborating to connect LogicMonitor’s Edwin AI observability intelligence with ServiceNow through agent-to-agent (A2A) capabilities, allowing ServiceNow AI agents to request operational context, event correlation and investigation data as IT incidents unfold. A2A Connects Observability Intelligence With IT Workflows Enterprise AI adoption is moving beyond standalone copilots toward systems in which specialized…

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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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