Author: Marketing User

  • Optimiser les performances et l’évolutivité de l’IA dans le centre de données

    Optimiser les performances et l’évolutivité de l’IA dans le centre de données Les charges de travail liées à l’IA imposent des exigences sans précédent à l’infrastructure des entreprises. Du transfert de données en temps réel aux environnements de calcul hétérogènes, en passant par des besoins en ressources fluctuants, les architectures traditionnelles ne parviennent plus à…

  • Scaling enterprise AI with open software

    Scaling enterprise AI with open software AI workloads are dynamic, distributed, and increasingly complex—and scaling them requires more than powerful hardware. A software-first approach gives enterprises the flexibility, orchestration, and interoperability needed to support evolving AI use cases. This white paper explores how open, composable software stacks help organizations boost performance, avoid vendor lock-in, and…

  • Maximizing AI Performance and Scalability in the Data Center

    Maximizing AI Performance and Scalability in the Data Center AI workloads are placing unprecedented demands on enterprise infrastructure. From real-time data movement to heterogeneous compute and fluctuating resource needs, traditional architectures can’t keep up. This white paper explores how to build an AI-ready data center designed for high throughput, low latency, and intelligent scalability. Inside,…

  • Optimierung der KI-Leistung und Skalierbarkeit im Rechenzentrum

    Optimierung der KI-Leistung und Skalierbarkeit im Rechenzentrum KI-Workloads stellen beispiellose Anforderungen an die Unternehmensinfrastruktur. Von der Datenübertragung in Echtzeit über heterogene Rechenumgebungen bis hin zu schwankendem Ressourcenbedarf – herkömmliche Architekturen können da nicht mithalten. Dieses Whitepaper befasst sich damit, wie man ein KI-fähiges Rechenzentrum aufbaut, das auf hohen Durchsatz, geringe Latenz und intelligente Skalierbarkeit ausgelegt…

  • Denials, Downgrades, and the Mid-Revenue Cycle

    Denials, Downgrades, and the Mid-Revenue Cycle The hidden revenue loss hospitals rarely see until it’s too late. Hospitals focus heavily on denials — but denials are only part of the problem. Across the U.S., hospitals are losing millions each year to incomplete or inconsistent documentation that understates the true complexity of care delivered. Beyond visible…

  • Thank you for registering – Experience the future of agentic service

    Your spot is saved. Now get ready to lead the change. Thank you for registering. We’re excited to inspire you with fresh insights, breakthrough innovations, and powerful conversations.

  • Experience the future of agentic service

    DIGITAL MAY 21 Experience the future of agentic service Experience the future of agentic service Register for free DIGITAL MAY 21 Register to attend Connecting through story and authenticity Sit down with Emmy Award-winning comedian Ali Wong for a moderated conversation about how laughter and relatable stories create real human connections. Real-time question support Get…

  • The New Revenue Cycle Blueprint: Actionable AI, Clinical Collaboration, and Workforce Evolution

    The New Revenue Cycle Blueprint: Actionable AI, Clinical Collaboration, and Workforce Evolution In an uncertain landscape defined by tightening margins, frequent regulatory shifts, and a saturated technology market, revenue cycle leaders can no longer rely on outdated playbooks.  During our Spring 2026 HealthLeaders Revenue Cycle Mastermind, participants agreed that sustained success requires bridging the historical…

  • The data leader’s primer for generative AI

    The data leader’s primer for generative AI

    The data leader’s primer for generative AI Global CEOs are making generative AI a top investment priority, and enterprise technology leaders are feeling the pressure to implement a unified data strategy and better data management to support generative AI. To fully leverage generative AI, an organization needs mastery over its proprietary data. That requires a…

  • A CIO’s guide to data lake management for Gen AI

    A CIO’s guide to data lake management for Gen AI

    A CIO’s guide to data lake management for Gen AI Data lakes are essential for AI because they support diverse data types, offer scalable storage and processing and preserve data in its raw format, providing a robust foundation for training advanced AI and ML models. This ebook provides CIOs with strategies to accelerate and ensure…