Artefact, in partnership with Societe Generale and Sorbonne University, presents a new AI approach to identify atypical customer profiles. Tested on real banking data, this open-source algorithm improves scoring accuracy while ensuring interpretability and practical applicability.
AI is reshaping consulting, but not in the way most companies imagine. In a practical exploration of professional services, we reveal how treating AI agents as full-time teammates rather than mere tools, focusing on scaling rather than headcount reduction, and fostering an internal “open-source” culture transforms project delivery, client relationships, and product discovery—and what this means for the future of human-AI collaboration in consulting.
Google’s new AI Overviews are changing how users find information online. In a practical case from the Dutch sustainability sector, we explore how this shift is affecting SEO and SEA for a client active in boilers, hybrid systems, and heat pumps—and what it means for the future of digital marketing in the sector.
Customer Data Platforms (CDPs) promise a truly unified view of your customers, opening doors to hyper-personalization and driving significant ROI. Yet, if you're like many organizations, you might find your CDP initiatives getting stuck right after the initial Proof of Concept (POC) stage. While these early pilots brilliantly demonstrate value, the journey to a fully scaled, integrated CDP often stalls, leaving immense potential locked away.
This paper explores how data and AI can serve as powerful enablers of that transformation. It introduces a strategic framework centered on three key levers: 1.Enrollment & Recruitment, 2.Academic & Teaching Innovation, 3.and Student Success & Experience, supported by foundational enablers like Operational Efficiency and Data Governance.
Initially, digital twins were used to study how rockets behaved under varying circumstances. Today, they are widely applied to improve operational performance and are becoming one of the flagship concepts of Industry 4.0, perhaps even a cornerstone for Industry 5.0.
Retailers are sitting on a gold mine of customer data, but too often, it’s treated like a cost rather than a strategic asset. Retailers who harness customer data insights outperform competitors by 85% in sales growth and 25% in gross margin.
Ever see a place all over your social media, get there, and feel… underwhelmed? In an age of hashtags and hype, a city's online reputation often has little to do with the real-life experience. This leaves us all asking: how do we find the places that are actually worth visiting, not just the ones with good marketing?
Retail is undergoing a seismic shift, where data is no longer just a support tool—it's the driving force behind growth, efficiency, and customer satisfaction. Yet, despite massive investments in digital transformation, most of that data remains locked in silos, costing the global economy trillions and stalling decision-making. As the retail media market races toward $140 billion by 2026, the opportunity—and necessity—for smarter data collaboration has never been greater. In this article, we explore how the future of retail will be shaped by connected ecosystems, where retailers and their partners align on data, technology, and trust. From secure clean room environments to AI-powered insights, the key to unlocking shared growth lies in breaking down barriers and building a foundation of interoperability and governance. The message is clear: when data flows freely and securely, everyone wins.
