Data & AI

The AI revolution is now – are you ready?

Engage People.
Enable AI Technologies.
Make a Difference.

We stand at the cusp of a transformative era, reminiscent of the internet revolution in 1998. Just as the internet entirely reshaped our world from the late ’90s, AI is poised to redefine how we do business. Artificial Intelligence (AI) is not just another technological advancement; it’s a disruptive force reshaping the business landscape and our society. The journey towards AI adoption transcends the mere implementation of cutting-edge technology. It’s about understanding the destination of this transformation and charting a course to reach it – always with a focus on people.

Like the internet and digitization before it, AI presents a critical juncture for companies: adapt or risk obsolescence.

How to succeed in this transformative journey?

#Engage People: While technical discussions are crucial, they are just the tip of the iceberg. The real challenge to drive adoption lies in change management by engaging all employees and seamlessly integrating AI at scale into your business processes.

#Maintain Focus: As we navigate this new frontier, it’s crucial to remember that AI doesn’t need to be deployed everywhere. The key is to identify where it can add the most value and focus on those business cases to turn potential into profit.

#Keep the basics: The GenAI hype sheds new light on other types of AI and its foundation – data – motivating companies to tackle the critical issue of data quality.

#Behave responsibly: Creating and using AI responsibly is crucial for developing AI systems that are trustworthy, fair, and aligned with societal values and legal standards.

#Embrace Frugality: Addressing the multifaceted environmental challenges posed by AI is essential. The industry must prioritize the creation of eco-conscious solutions, while also recognizing AI’s potential to catalyze significant advancements in sustainability.

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An expert’s point of view

Generative AI is a powerful tool for interacting with systems and data, but it comes with risks and uncertainties. In some cases, transparent AI models like classification or automation, which are more reliable than Gen AI, may be sufficient while improving expertise and streamlining tasks. Regardless, governance frameworks at both the national and company levels are essential to unlocking AI’s capabilities and ensuring its safe use in the workplace.

Jeanne Pigassou – Manager, Wavestone

Join the discussion on Data and AI

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  • The event takes place on January 15, 2026

    AI adoption: paradoxes revealed by our Global AI survey

      From 17:30 to 18:30 Read More

Get in touch with our experts

  • Florence Noizet

    Partner – France, Paris

    Wavestone

    LinkedIn

  • Michael Gomolka

    Partner – Germany, Munich

    Wavestone

  • Cecilia Edwards

    Cecilia Edwards

    Partner – USA, Dallas

    Wavestone