Future Workplace

Where is Retrieval Augmented Generation (RAG) Going 5 Years from Now?

This paper outlines the key technological developments driving changes in retrieval augmented generation (RAG). Mapping those changes on a non-linear trajectory, we predict the near future, and provide actionable recommendations for organisations to stay ahead of the curve in the rapidly evolving landscape of enterprise artificial intelligence (AI).

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Enterprises Need AI Systems, Not Chatbots

To truly harness the transformative power of artificial intelligence (AI), enterprises must shift their focus from standalone AI applications to comprehensive AI systems that are deeply integrated into their existing workflows and processes.

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Measuring The Effectiveness Of Virtual Assistants

As large language model (LLM)-based virtual assistants continue to permeate various aspects of enterprise operations, measuring their effectiveness becomes crucial and more complex. The key lies in developing a holistic measurement framework that combines traditional metrics with novel approaches tailored to each specific use case.

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Modern Approach to End-User Computing

In the modern ICT environment, your approach to end-user computing needs to truly allow for anywhere, anytime, and anyhow, in a secure environment that provides your user base access to full functionality regardless of the device.

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