I just had this exact challenge at a meeting with a big architectural studio yesterday: - Do I tell them about the 1 big change AI can have on their organization? or - Do I tell them about 1000 small wins they can get with automation and AI? The latter option isn't as sexy - but it's already here. The first option is very attractive - but it's 10 years down the line. I ended up explaining both - and being honest about where AI is and what it can do. Luckily, they realized the latter option is what they actually need - and that will prepare them for the big change once it arrives. To sum up, your understanding of AI is crucial. Then, you can be honest, practical, and see the real value of AI beyond the hype. Hope this helps!

Quand on parle d'IA, il y a souvent une exagération de capacités. Les entreprises pratiquent ce qu'on peut appeler "l'IA washing". On parle d'IA pour une activité quelconque et elle devient tout de suite "géniale". Pour éviter de tomber ce travers, il faut adopter une posture objective et réaliste devant vos clients. Ne survendez pas les capacité de votre solution. Si votre interlocuteur connait un peu le sujet, il verra tout de suite que vous annoncez des résultats irréalistes. Et s'il est novice, vous aurez le retour de flamme quand il réalisera que l'IA ne délivre pas ce qui avait été annoncé. Enfin, peu importe l'efficacité de l'IA, il faut toujours y inclure un contrôle humain pour être sûr qu'elle ne raconte pas n'importe quoi.

AI has limitations, it's dependent on data quality, may have biases, and lacks human intuition. It excels in tasks like automation, data analysis, and predictive insights, but isn't a universal solution. Highlight its strengths and how it augments human decision-making, providing real-world examples to set realistic expectations. Also, note that AI requires ongoing monitoring and updates for continuous improvement. This perspective will help clients grasp both the potential and limitations of AI.

Ao apresentar IA a clientes, seja transparente sobre suas limitações. Destaque a importância da colaboração entre homem e máquina, enfatizando que a IA é uma ferramenta para auxiliar na tomada de decisões, e não substituí-la. Construa confiança demonstrando como a IA pode resolver problemas específicos e gerar valor para o negócio.

When introducing AI to a client, transparency is key. Highlight its strengths, such as process automation, analyzing large datasets, and efficiency in repetitive tasks. However, it’s equally important to address its limitations: AI isn’t flawless, relies heavily on data quality, and may require human oversight in certain areas. The goal is to showcase its practical value without setting unrealistic expectations. Emphasize that AI is a powerful tool when used correctly, but its success depends on how well it’s integrated and monitored.