he challenges you will face at every

Your guide to taking charge of your organisation’ s GenAI ambitions in the cloud Generative AI for business decision makers

But first: Introduction

Everybody is in the same big, happy, confused boat. You’ ve heard the buzz around GenAI. Maybe you’ ve even played around with AI-generated images or used a chatbot to brainstorm ideas. It’ s clear that GenAI is here to stay, and it’ s about to stir up most industries. But as with any emerging technology, the path to widespread adoption isn’ t always smooth.

We’ re still in the early stages. As a decision maker, you want to seize the opportunities that are available now, or likely will be soon. You want to“ skip forward to the good parts”. In this ebook, we’ ll show you proven ways to achieve that.

Organisations are at different stages of GenAI maturity. There’ s no one-size-fits-all approach, and we don’ t want to bombard you with irrelevant strategies and tactics. So at Nordcloud, and in this ebook, we use a GenAI maturity framework.

You’ ve reached one of its 3 maturity stages, so head on over to the chapter covering your stage. We’ ll tell you about the challenges you can expect where you’ re now – and how to overcome them.

There’ s a talent gap

Finding skilled professionals with the expertise to develop and implement GenAI solutions in cloud is a major hurdle. The field is relatively new, and the demand for talent far outstrips the supply

You need solid data – and lots of it

GenAI models require massive amounts of high-quality data to train effectively. Gathering, cleaning and managing this data can be a daunting task, especially for smaller companies with limited resources.

There are ethical concerns

The potential for bias, discrimination and misuse of GenAI is a serious concern. Companies need to establish clear ethical guidelines and ensure their GenAI systems are transparent and accountable.

It’ s hard to integrate

Integrating GenAI into existing cloud workflows and systems can be a complex process. It requires careful planning, cross-functional collaboration, and a willingness to adapt existing processes.

Costs are high – and ROI uncertain

Developing and deploying cloud-based GenAI solutions can be expensive, and the return on investment isn’ t always immediately clear. Companies need to carefully weigh the costs and benefits before embarking on a GenAI initiative.

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