The profitability of an Artificial Intelligence project does not depend exclusively on the power of the selected model but rather on the efficiency with which it is deployed within the organization's operational structure. In this analysis, we evaluate from both a...
In the technology decision-making rooms of large corporations, a dangerous axiom persists: Until our data is perfectly clean and centralized, we cannot make the leap to Artificial Intelligence (AI). While this premise stems from logical prudence, it has become the...
Over the last decade, the digitalization of large organizations centred on eliminating repetitive tasks. Under the concept of RPA (Robotic Process Automation), companies optimized costs by delegating mechanical processes to systems. However, in today’s landscape,...
The adoption of Artificial Intelligence in the corporate environment has moved past the experimental phase. The current challenge no longer lies in selecting the most powerful foundational model but in integration engineering. The concept of "Smokeless Applied AI"...
Retrieval-Augmented Generation (RAG) has ceased to be an experimental novelty to become the backbone of the most efficient corporate AI applications. However, in the leap from proof of concept to production, a structural error is frequently observed: attempting to...
Current narratives surrounding Artificial Intelligence often focus on the magic of the final result: the automatically drafted email, the sales prediction or the chatbot that sounds human. However, for tech leaders and executives who must approve budgets, the real...
The business conversation around AI has evolved quickly: we have moved from asking whether we should adopt AI to questioning what tangible impact it is creating. Most organizations have launched use cases, automations and pilot projects. Yet only a minority can...
How AI Evolves from an Operational Tool to a Strategic Business Partner For years, artificial intelligence was perceived as a “technological component”: automation, basic chatbots, data classification. However, advanced adoption shows that its real value emerges when...
The rise of artificial intelligence is reshaping how companies operate, decide and organize themselves. The challenge is no longer just about adopting technology but redesigning leadership models to guide hybrid teams where people and intelligent systems work as a...