Category: AI and ML

    AI and MLSponsored Content

    Best Automated Security Testing Tools for Modern DevSecOps

    Modern DevSecOps needs security checks that run before release day. Teams now write code, build services and deploy updates at a pace that manual review cannot match. That’s why they use automated testing, as it helps catch routine flaws before they reach production. The pressure has grown. Verizon’s 2025 Data Breach Investigations Report found that […]

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    AI and MLAI in ActionArtificial IntelligenceInfrastructure & Hardware

    xFusion scales enterprise AI from edge workstations to liquid-cooled data centres

    xFusion presented scalable enterprise AI computing models at ISC 2026, transitioning hardware from edge devices to data centres. Enterprise technology buyers attending the Hamburg exhibition sought practical production frameworks. Hardware selection processes regularly fail to account for physical operating limits. Relying on public APIs exposes proprietary commercial data. xFusion engineers responded with a four-tier hardware […]

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    AI and MLSponsored Content

    Scam.ai Announces Qualcomm Partnership, Launches Halo Deepfake Detection Model at Computex 2026

    New partnership brings on-device deepfake detection to video calls on desktop SAN FRANCISCO, June 29, 2026 — Scam.ai today announced a partnership with Qualcomm and the launch of Halo, an on-device deepfake detection model for live video calls. Both announcements were made at Computex 2026 in Taipei, where Scam.ai was featured at Qualcomm’s booth as […]

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    AI and MLAI Business StrategyAI in ActionData Engineering & MLOpsDeep DivesFeatured News

    SAP aligns commerce data for AI personalisation

    SAP aligns fragmented commerce data structures to enable operational AI personalisation at the execution layer. Enterprise leadership routinely establishes objectives to anticipate customer requirements and deliver relevant interactions across digital touchpoints. However, the actual infrastructure running inside these enterprises fails to support systematic execution at the required volume. Recommendation engines display generic product listings because […]

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