The AI value gap: why AI works but doesn’t always create value
Artificial intelligence works. It analyzes documents, generates content, synthesizes information, detects anomalies, automates certain tasks and is now beginning to act through agentic systems capable of chaining multiple operations. Yet as these capabilities advance, another question becomes central: Why do companies with high-performing AI technologies not always manage to transform this technological power into measurable...
When companies adopt AI faster than they can transform
What if the next AI risk for businesses was no longer just moving too slowly, but moving faster than the organization itself? In the sample studied by the Boston Consulting Group, 61% of CEOs surveyed believe their board of directors is pushing artificial intelligence transformation too quickly. This finding comes from the global study CEOs...
AI ROI: Why Technology Alone Isn’t Enough to Create Value
After several years of experimentation, the return on investment of artificial intelligence has become a central concern for executive management. Companies can no longer simply accumulate proofs of concept, generative assistants, and demonstrators. They must now answer a more demanding question: what economic value does artificial intelligence actually produce? A study published on July 15,...
How to Measure AI ROI?
One of the most frequently asked questions by executives concerns the return on investment of artificial intelligence. Following the excitement generated by ChatGPT and the explosion of generative AI projects in companies, a new requirement has emerged: demonstrating the value created. For several years, organizations have been experimenting. They have tested conversational assistants, automated certain...
Cross Data: AI Serving Businesses – Interview with Jean-Charles Rongére
Cross Data supports companies in integrating AI to transform their operations and processes. By leveraging company data and high-performance algorithms, they reveal hidden performance potential. Experts in designing and deploying artificial intelligence solutions, they work in key sectors such as industry, energy, transportation, retail, and healthcare. Their expertise in Machine Learning, Deep Learning, AI Vision,...
Why 40% of Agentic AI Projects Will Fail by 2027 According to Gartner — Analysis and Recommendations for Businesses
The promise was immense: that of autonomous, proactive artificial intelligence, capable of acting in a contextualized manner and profoundly transforming organizations. Two years later, the enthusiasm confronts a harsher reality. On June 25, 2025, Gartner released a straightforward prediction. More than 40% of Agentic AI projects will be abandoned by the end of 2027, due...