The AI Journey: Going from Practical to Transformative

Whitepaper Artificial Intelligence Hewlett Packard Enterprise (HPE)

The whitepaper explores the journey of organizations in developing AI strategies, focusing on practical goals and alignment with business objectives. It highlights the importance of data strategy, tech infrastructure, and leveraging edge-to-cloud solutions for successful AI implementation.

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The AI Project Survival Guide

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:

Building Your AI Business Strategy

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:

How are micro-optics driving next-generation optical communications?

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.