Turbocharge AI Workloads with an AI-Native Data Platform

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Learn how to eliminate the complexities of legacy data infrastructures and overcome the limitations of outdated storage solutions.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:

Identify the limitations of traditional storage solutions: Understand the bottlenecks that are holding back your AI workloads.
Embrace the data platform revolution: Learn how a modern data platform can transform your AI infrastructure.
Accelerate your AI initiatives: Achieve faster time-to-insights and drive innovation with an AI-native data platform.
This whitepaper draws on industry expertise and real-world examples to provide a comprehensive guide to optimising your AI data pipeline.

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How Possible Happens - filling the value void

The digital transformation journey is fraught with challenges, from aligning technology with business goals to overcoming cultural resistance. Many organisations struggle to unlock the full potential of AI, leading to stagnation and competitive disadvantage. This ebook offers a comprehensive guide to bridging the 'value void' with technology-driven productivity. Authored by Dr. Chris Brauer, Director of Innovation at Goldsmiths, University of London, and featuring insights from over 3,600 global industry leaders, this ebook is a trusted resource for strategic digital transformation. In this ebook, you'll learn how to:

Sales Leader Compass

🚀 Navigating the AI-Powered B2B Sales Landscape 🚀 We are at a pivotal moment in the AI-driven B2B sales landscape. Laying the groundwork today is crucial for future success. Only 28% of sales executives feel highly confident about their future readiness. The path to being future ready is complex, with challenges in AI integration and the need for stronger human and AI skills. AI can revolutionize sales by automating tasks, increasing productivity, and freeing up time for relationship building. However, having the right technologies and a knowledgeable team isn't enough. Sellers must use AI solutions effectively to impact revenue. By combining proven sales best practices with AI technologies, your team can have higher-quality conversations with buyers and exceed their quotas. We are all navigating this path together, and LinkedIn is here to help. We've partnered with Ipsos and leveraged LinkedIn Insights data to uncover the current state of sales, future trends, and actionable strategies. Read the full report to learn more!

Streamlining network deployments for Enterprise AI

Generative models are driving AI advancements, demanding high bandwidth and low latency networks to handle more data with increasing complexity. Scaling infrastructure and adopting new technologies are essential, but choosing the right tools is key to achieving performance, efficiency, and future adaptability. For example, whilst NVLINK gives GPUs a boost, it’s the optical networks that will truly scale AI across data centers. During this episode we explore: