Artificial intelligence (AI): from theory to practice

Over the past ten years, Artificial Intelligence (AI) has experienced a remarkable acceleration, becoming increasingly accessible, including to the general public via generative AI tools. From the operational to the strategic level, AI has penetrated every stratum of an organization, becoming an essential lever for value creation, optimization and operational performance. The profound impact of smart data exploitation has been illustrated by the major disruptions caused in certain markets, and the decisive competitive advantages gained as a result. The collapse of technological and usage barriers is now establishing AI as the norm. As a result, organizations are obliged to deliver new forms of solutions and services to their customers and employees in ever-shorter timeframes.

How are organizations transforming to meet these new demands?

How can these technologies be integrated efficiently and sustainably? How can we acquire the ability to produce AI in a controlled way, and not just have AI?

Establishing the use of Artificial Intelligence in a sustainable and responsible way: it is precisely this question of scaling up AI thatEurogroup Consultinga strategy, management and organization consulting firm, and La Javaness, a trusted AI systems engineering company, have been working within the framework of their partnership since 2018, and with more and more customers. This involves, on the one hand, turning AI-enhanced use cases into reality and, on the other, implementing the multi-dimensional foundation required to industrialize AI through so-called "capability" worksites. Our approach consists in setting up the building blocks capable of supporting the scaling up of AI, during the project and beyond: governance, ethics, the technological base, work on data, human and organizational resources, support for change and the ecosystem. It is therefore aimed at organizations which, for at least part of their AI solutions, wish to acquire control over their production.

Drawing on our experience, here we share recommendations for organizations wishing to integrate AI sustainably into their day-to-day practices.

An unprecedented approach to AI for effective organizational transformation


 

As part of an innovative, multi-disciplinary ecosystem, our partner firms have developed solutions that enable organizations to benefit from technological and methodological tools to facilitate this transition to scale: proven protocols for developing Artificial Intelligence projects in industrial mode, notably via an AI Factory, packaged frameworks that have already proved their worth, qualification and evaluation tools, as well as systems for innovation, mass acculturation and change management. Our differentiating approach is proving effective in accelerating the global transformation of organizations through AI: rapidly scaling up by delivering more and more value through AI solutions, and capitalizing on commonalities that anchor AI processes in a sustainable target operating model.

The 10 recommendations in this publication are presented thematically. They are not intended to be implemented sequentially, as scaling up AI requires the implementation of a number of capabilities almost simultaneously. Nor are they intended to be applied exhaustively: acceleration on AI issues depends on an organization's initial maturity, as well as its internal ambitions and competitive environment.

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