The drive is about efficiency, scope, and capability. AI allows banks to execute existing tasks faster, cover a broader spectrum of risks (covering risks A, B, and C instead of just A), and perform previously impossible tasks, such as analyzing massive document volumes for sentiment analysis in equity research.
CNP Assurances operates as a leading international player primarily in Europe and Latin America, holding the position of the second-largest term creditor insurer in France and the third-largest insurer in Brazil. The company functions on a robust B2B2C model, maintaining long-term agreements with major banking partners like La Banque Postale and Caixa Econômica Federal, while also utilizing open models with retailers and brokers. Financially, the group generates a net result of €1.5 billion and is recognized for its commitment to ESG, ranked among the top 9% of sustainable companies globally.
At Adopt AI, he will explore how innovation and artificial intelligence are transforming the insurance industry. AI empowers insurers to offer more personalised and sustainable protection based on deeper customer insights.
In this article, we examine how agentic AI transforms marketing measurement by automating analysis, guiding decisions, and accelerating execution across the funnel.
At the recent TCG Retail Summit, Edouard de Mézerac set out to cut through the noise around AI. His message: the era of scattered use cases is over. What comes next is something far more structural and far more demanding. For years, companies have experimented with AI in isolated pockets described as “dots of colour” across the organization. Useful, perhaps. Transformational? Not quite. Now, the ground is shifting. Agentic AI isn’t about adding another layer of technology. It’s about rethinking how work gets done, end to end.
A patient wakes up with recurring back pain and asks an AI assistant what to do. The app checks its history, notes a previous prescription, and suggests switching to a different anti-inflammatory. Your molecule isn't mentioned. By the time the patient sees their doctor that afternoon for a prescription, the framing is set.
Imagine a CFO reviewing the quarterly cloud spend. The AI team presents a compelling chart: per-token inference costs have dropped 75% year-over-year. The models are faster, the APIs are cheaper, and the vendor is offering volume discounts. Everything points toward savings. Then the actual invoice arrives, and the total is higher than last quarter.
In the rapidly shifting landscape of private equity, the conversation has moved far beyond simple financial engineering. Today, value creation is increasingly driven by a firm’s ability to harness data. At the second edition of the AI for Alternative Investment (AI x AI) conference, Arthur Garnier sat down with Elina Ashkinazi-Ildis to dissect the journey from theoretical AI potential to tangible operational excellence.
Artefact’s new ebook, Scaling Data Collaboration in the AI Era, explores how organizations can unlock greater value by breaking down data silos and enabling seamless collaboration across teams. As AI adoption accelerates, success depends not just on technology, but on the ability to connect data, people, and processes effectively. The ebook highlights how modern approaches to data collaboration empower faster insights, stronger governance, and more impactful AI-driven outcomes, turning data into a true strategic asset.
