In this conversation for The Bridge, Artefact’s Alexandre Thion de la Chaume, Managing Partner, and Florence Bénézit, Partner and Data & AI Governance Expert, explore the major challenges of AI in industry and manufacturing, and the conditions that need to be met for AI to become a real driver of performance, innovation, and resilience.
In their conversation for The Bridge, Artefact’s Édouard de Mézerac, Group CEO, and Vincent Blaclard, Managing Partner, discussed the different ways artificial intelligence is reshaping the retail industry by redefining how brands understand customers, manage operations, and generate growth.
What major trends are impacting the CPG sector today? In their conversation for The Bridge, Artefact’s Arvand Modarresi, Managing Partner & Global Lead for Consumer Brands, and Alexis Poujade, Partner and Lead for Consumer Brands, discuss four key post-Covid topics: Growing profitability pressure and the need to prove ROI, Managing business volatility through data, The risk of disintermediation in an AI‑driven commerce landscape, and Reinventing business processes with generative AI and agents.
The rules of the financial industry are being rewritten thanks to AI and generative AI. In their conversation for The Bridge, Artefact’s Joffrey Martinez, Managing Partner & Global Lead for Financial Services, and Alexis Baufine-Ducrocq, Partner & Lead Financial Services, discuss the race to redefine financial performance with AI.
Private equity is entering a new era of accelerated transformation driven by AI. In this conversation for The Bridge, Elina Ashkinazi-Ildis, Partner & Lead Private Equity, and Jérôme Petit, Managing Partner, explore how AI is redefining portfolio value creation, fund operations, and investment strategies.
Artefact’s new ebook, The Agentic AI Advantage in Healthcare: Accelerating Pharma’s HCP-Centric Marketing from Insight to Outcome, demonstrates that agentic AI represents a major step forward in solving these challenges. While traditional generative AI focuses on creating content, agentic AI can take action. It receives goals and constraints, reasons strategically, and executes tasks autonomously within the guardrails of compliance and approved data sources. Agentic AI elevates AI from a productivity tool to a business performance engine.
Over the past decade, sustainability shifted from the periphery of corporate reputation to the core of business performance. Artefact’s new ebook, ESG in Action, How to convert Environmental, Social, and Governance (ESG) data into business intelligence, documents this transition through semi-structured interviews with C-suite leaders from global companies such as Accor, Legrand, Tarkett, Ardian, Heineken, Siplec and Schenker, as well as insights from the OECD and Artefact’s sustainability and data experts.
As enterprises rush to operationalize AI, most discover that their data infrastructure was never designed for autonomous reasoning. Today, up to 80% of AI implementation time is spent on data wrangling and schema alignment, a symptom of infrastructures built for storage, not understanding. Without a foundation that captures relationships and meaning, agents will remain powerful, but blind. With AI agents becoming active participants in enterprise workflows, the nature and scale of data querying are evolving.
Many marketing leaders face the same paradox: despite major investments in Generative AI, the expected impact on costs, speed, and performance isn’t materializing. Why? Because most AI only “thinks”, it doesn’t act. Agentic AI changes that.
