March 27, 2024

The opportunities to transform, thanks to generative AI, are multiple and promising – and each CXO is looking at making their initiatives meaningful for their business and industry-specific context.

With the urge to accelerate and scale GenAI adoption across their organization, comes challenges such as cost control, security, or ethics.

In this point of view, we explore three major dimensions of generative AI for organizations to succeed: cost, scale, and trust. From cost efficiency of large language models (LLM) to adaptative scaling and ethical data sourcing, you will learn how to best develop and deploy your custom GenAI projects by focusing on value use cases fitting your business goals – and how to create tangible and reliable outcomes.

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