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.
Artefact’s new white paper, Exploring the impacts of agentic AI on the relationship with HCPs, shines a light on the healthcare industry at a pivotal moment. Patients today are more digital, autonomous, and informed than ever before. Many consult online platforms and even AI tools before visiting a doctor. At the same time, healthcare professionals (HCPs) are overwhelmed by a flood of content, from scientific updates to promotional campaigns, and struggle to cut through the noise. Traditional engagement models centered on in-person visits and one-size-fits-all communication are no longer sufficient to maintain relevance.
Human Resources is undergoing a fundamental shift from a reactive cost center to a proactive driver of value. Yet many organizations remain anchored in a minimalist approach to people analytics. While generative AI and autonomous agents are gaining traction across the enterprise, HR’s use of data is still often limited to basic turnover prediction.
Friends of Search 2026 signals the end of rule-based PPC and the rise of AI-driven, conversation-focused search. Success now hinges on grounding AI outputs in high-quality data and embracing flexible, agentic systems. As Asics’ 108% presales lift shows, adaptability and enriched first-party data are the keys to winning in the new search era.
