Skip to Content
Data and AI

Riding the next generative AI wave

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.

Generative AI

As Generative AI continues to advance, early adopter organizations will benefit from reinvented business models and processes.

Related research and insights

Meet our experts

Steve Jones

Expert in Big Data and Analytics
I help clients to deliver IT estates which look like the business, evolve like the business and are costed in line with the value they deliver.  Working with business and IT leaders, I help organizations take control of their master data and align its governance to its business value.

Anne-Laure Thibaud (Thieullent)

Executive Vice President, Data & AI Group Offer Leader
Choosing the right technology for the right usage is key, but how your company should change the way it acts around data is vital. My passion is to bring technology, business transformation and governance together and take our clients to where they want to be as Intelligent Enterprises, while cultivating the values of trust, privacy and fairness.