The explosive growth of AI is placing unprecedented demands on data pipelines, leaving traditional storage solutions struggling to keep up. Bottlenecks and latency issues are hindering the performance of even the most powerful GPUs, stifling innovation and slowing down AI initiatives. This whitepaper reveals how an AI-native data platform can turbocharge your AI workloads and unleash their full potential. Learn how to eliminate the complexities of legacy data infrastructures and overcome the limitations of outdated storage solutions. Discover the key features and benefits of a truly AI-native data platform, and how it can empower your organisation to achieve faster outcomes, seamless scalability, and unparalleled efficiency. In this whitepaper, you'll discover how to:

The desire to incorporate AI into business strategies is widespread, but the path to successful AI project deployment is fraught with challenges. Many projects fail due to a lack of clear vision, inadequate data, and infrastructure limitations. This guide offers a lifeline for navigating these complexities. Gain insights from WEKA's CTO, Shimon Ben David, and learn how to ask the right questions to set your AI projects up for success. In this guide, you'll discover how to:

Die rasante Entwicklung der KI stellt Unternehmen vor neue Herausforderungen bei der Datenverarbeitung. Herkömmliche Speicherlösungen können mit den Anforderungen von GPUs nicht Schritt halten, was zu Engpässen und Verzögerungen führt. Das Whitepaper "Turbocharge AI Workloads with an AI-Native Data Platform" bietet Ihnen Lösungen, um diese Hürden zu überwinden und das volle Potenzial Ihrer KI-Workloads auszuschöpfen. Dieses Whitepaper stützt sich auf Erkenntnisse aus der Branche und jahrelange Erfahrung, um Ihnen einen umfassenden Überblick über die Herausforderungen und Lösungen im Bereich der KI-Datenverarbeitung zu bieten. In diesem Whitepaper erfahren Sie:

Der Wunsch, KI in eine Geschäftsstrategie zu integrieren, garantiert nicht den Erfolg. Die hohe Fehlerrate von KI-Projekten erfordert ein Umdenken in Bezug auf Strategie, Ziele und Infrastruktur. Dieser Leitfaden hilft Ihnen, die richtigen Fragen zu stellen und Ihre KI-Strategie auf Erfolgskurs zu bringen. Erhalten Sie Einblicke von Shimon Ben David, CTO bei WEKA, und erfahren Sie, wie Sie häufige Fallstricke vermeiden können. In diesem Leitfaden lernen Sie:

This ebook looks at survey findings from 540 enterprise customers across Asia Pacific to shed light on regional and industry AI and generative AI adoption trends, challenges and use cases to help IT, functional and LOB executives make better AI decisions. The report assesses the five dimensions of AI journeys including:

Next-generation optical interconnects in data centres and artificial intelligence (AI) / large language model (LLM) clusters are facing a number of challenges due to factors such as increased bandwidth demand, the need for ultra-low latency, and high power consumption. The significant growth in data traffic from AI applications requires scalable and energy-efficient solutions, and integrating advanced optical technology with existing infrastructure can be complex. Ensuring reliability and durability under rigorous demands is essential, and balancing performance improvements with cost-effectiveness remains a critical hurdle for widespread adoption.

Artificial intelligence (AI) is radically changing the digital asset management (DAM) landscape. The rise of AI is improving and revolutionizing the way DAMs work, bringing more benefits to organizations like yours every day. It’s time to examine what AI-powered DAMs are offering now, what radical new features are coming very soon, and how organizations like yours are already using these benefits to gain an advantage over their competitors. Organizations like Amorepacific, Eat’n Park Hospitality Group, and many more are using AI-powered DAMs to: Ready to transform your digital operations and bring a new level of efficiency to how you manage content? Download the definitive guide and learn how you can start leveraging AI today.

- Learn how AI and ML can proactively identify unhappy users before they complain, enhancing user satisfaction. - Discover the benefits of Juniper-Mist’s Proactive Analytics and Correlation Engine (PACE) for operational efficiency. - Understand the role of AI in transforming IT operations with real-world guidance from a leading practitioner. - Gain insights into the importance of data quality, model training, and AI integration for network health and automation. - Explore the potential for reducing operational expenses and improving service assurance with AI-driven solutions. Telent have been recognised by Juniper Networks as their 2023 Enterprise Network Transformation Partner and 2023 EMEA Partner of the Year.

- Discover Juniper Networks' innovative approach to creating AI-driven, secure campus networks. - Learn how to enhance user experience and operational efficiency through automation and AI. - Understand the evolving challenges in campus network management and how to address them. - Explore the benefits of centralized, cloud-based management and advanced security strategies. - Gain insights into the future of networking with self-forming campus fabrics and AI analytics.