The journey from simple AI assistants to powerful, cross-system agents reflects a profound shift in how businesses leverage generative AI. In 2023, the rise of embedded GenAI promised seamless integration into daily workflows, enabling users to adopt advanced capabilities without disrupting habits. Yet, high costs per user and limited customization left many questioning the value proposition of these black-box solutions.
Last week, Artefact attended Adweek London 2025, held from April 1–3 at 180 Studios. This premier event brought together over 7,000 attendees—including top brands, agencies, and tech partners—creating an exclusive platform for networking and industry collaboration. We focused our time on the Tech Stage, which meant skipping the Innovation and Creative stages.
Have you just come out of another meeting where the focus was discussing which number was correct, instead of debating the best paths to business success? If you answered "no," consider yourself privileged.
LVMH plays the Chinese card. At a time when trade relations with the United States are becoming increasingly complex, luxury group LVMH is highlighting the existence of digital, cloud, and AI alternatives in China to American technological solutions, which have been widely adopted by businesses and individuals in Europe.
In the recent LVMH × Alibaba Cloud AI Competition, Artefact showcased SAIA, an AI-powered sales assistant designed to seamlessly integrate into retail workflows. Built on a robust multi-layer AI architecture, SAIA enhances sales efficiency and customer engagement in luxury retail.
On the 20th of March, Artefact and Google had the pleasure of co-organizing a special event centered around the launch of Google’s latest innovation in Marketing Mix Modeling (MMM), the open-source model Meridian. This event was a unique opportunity for advertisers and marketers to explore how this cutting-edge tool can revolutionize marketing measurement and optimization.
For a long time, technology has been trying to be accessible beyond those who know how to code. This process has slowly evolved, from low-level programming languages that are very hard to understand such as assembly to more "high-level" ones that are much more similar to natural language, such as Python. Now, we are breaking the barrier to maybe reach a full "natural language" process of coding. Tools like Cursor AI already have a market cap of $100M dollars, and the term "vibe coding" is getting more and more popularized.
A Chief AI Officer: What’s the Role? Is this new position destined to disappear once AI is fully integrated into the company, or will it become a permanent fixture? Who is best suited for the role? Here are our insights.
The financial services industry is at a pivotal moment, where AI is no longer just an enabler but a key driver of competitive advantage. From automating routine processes to transforming decision-making, AI is reshaping financial institutions at an unprecedented scale.
