Sidney Zeder is Director of Data & AI Consulting at Artefact. She works in the practice dedicated to the travel, tourism and transport sector in Europe, supporting major industry players across the entire data value chain, from strategy to operational activation.
In our previous articles, we challenged conventional ROI models for AI and introduced a multi-layered, context-driven framework for measuring AI’s unique value.
In our first article, we established why traditional ROI models fail to capture AI’s unique value dynamics—non-linear returns, delayed benefits, and contextual dependencies.
In today’s rapidly evolving technological landscape, IT has evolved from a traditional operational backbone to a strategic business partner. This shift is fueled by accelerating digitalization and automation, including the rise of AI use cases that deliver value well beyond the IT function.
In a luxury industry focused on creativity and made-to-measure products, AI can transform professions and preserve values. Interview with Édouard de Mézerac (H.06), CEO of Artefact.
In today’s data-driven companies, analytics & reporting - through dashboards are expected to deliver fast, actionable insights that support critical business decisions. Yet, according to a 2022 Forrester study, 60% of analytics initiatives fail to meet expectations because often the data feeding those dashboards is unreliable, incomplete, or misaligned (Forrester, 2022).
The artificial intelligence market is on an explosive growth trajectory – GlobalData forecasts it will reach $909 billion by 2030, up from about $100 billion in 2022, driven mainly by the rise of generative AI. This category of AI, exemplified by popular tools like ChatGPT, DeepSeek, Google Gemini, etc. has sparked widespread innovation by enabling businesses to generate original content and automate complex tasks. Companies in the MENA region are rapidly adopting generative AI, aiming to harness its potential for significant productivity gains, deeper personalization, and innovative customer experiences, while also confronting the critical need for responsible and ethical deployment.
In this interview, Justine Nerce explains how AI is helping to meet the major challenges facing pharmaceutical companies, research laboratories and hospital institutions: Accelerating market access and controlling R&D costs, combating drug shortages, equal access to care. The healthcare sector is an industry in tension, and AI is now seen as a key transformation factor and innovation gas pedal. In this exchange with Caroline Goulard, journalist and CEO of two data companies Dataveyes and Modality, Justine shares some use cases.
Generative AI has compressed delivery times: what took eight hours now takes three. But where do the remaining five hours go?
