The adoption of AI brings significant ethical considerations and governance challenges that must not be ignored. The way we develop, deploy, and manage AI technologies will fundamentally impact the future of our societies and economies.
The rapid ascent of Generative AI (GenAI), powered by sophisticated Large Language Models (LLMs), has captured global attention, demonstrating remarkable capabilities in content creation, summarization, and interaction. Businesses are actively exploring and integrating these tools to enhance productivity and unlock new avenues for communication. However, focusing solely on GenAI overlooks the next seismic shift in artificial intelligence: Agentic AI.
At the recent Artefact Data & AI Summit in Dubai, Vincent Luciani, Co-founder and Executive Chairman of Artefact, shared his insights on the evolving landscape of artificial intelligence. This article covers the main points from Vincent’s session, including the commoditization of AI, its impact on the workforce, the associated challenges and opportunities, and strategic recommendations for organizations.
This article explores how shopping behavior is rapidly evolving through the rise of Generative Engine Optimization (GEO) and AI-powered search experiences. With platforms like ChatGPT and Google introducing integrated product recommendations, virtual try-ons, and AI-generated answers within traditional search interfaces, the boundaries between organic and paid visibility are being redefined. Advertisers must now rethink their SEO, SEA, and affiliate strategies to stay visible in AI-driven environments. The article also highlights the growing importance of structured data, high-quality product feeds, and trusted content sources — outlining the new rules for marketers navigating the AI era of digital commerce.
Stepping out of Google Marketing Live 2025, one thing is crystal clear: the future we’ve been discussing in abstract terms has arrived. Google is no longer just a search engine or an advertising platform; it's rapidly evolving into an AI-driven ecosystem where text, voice, video, and images converge to create a truly multimodal and increasingly agentic user experience. For all of our clients in retail, luxury, e-commerce, banking, insurance, and telecom, but also CPG and even B2B, this isn't just another wave of updates – it's a fundamental shift in how brands will connect with consumers and businesses.
The time has come for the pharmaceutical industry to seize the opportunities offered by artificial intelligence. At Sanofi, this transformation takes the form of a bold strategy led by Florent Edouard, Global Head of the Digital Accelerator. After an international career at AstraZeneca and Grünenthal, he carries an ambitious vision: to reposition artificial intelligence at the heart of the marketing and commercial activities of the French giant.
As the global regulatory pressure around sustainability in industry intensifies, one question is coming to the fore: how can companies adopt smarter and more sustainable consumption practices? Artificial Intelligence (AI) has emerged as a strategic ally in this scenario, enabling smarter decisions, optimized processes and lower carbon emissions in intensive production chains. In this article, we explore some examples of how the industry is applying AI to tackle energy challenges at scale, and how Artefact is standing out by accelerating the transition to more sustainable, efficient and data-driven operations.
Imagine a scenario where every operational data point of an industry is continuously captured, organized, scalable, and free from cyber threats. This is the concept of IT/OT (Information Technology/Operational Technology) convergence, an evolution where the synergy between data and technology optimizes efficiency, security, and innovation in manufacturing, enabling high-quality data and robust security that support reliable and strategic decisions.
Key insights from our webinar with Artefact, MoEngage and Treasure Data. We see firsthand how complex and urgent it is for BFSI organizations to evolve how they engage customers. It’s not just about going digital. It’s about going intelligent: using AI to personalize interactions, automate decisions, and build trust at every step of the customer journey.
