AI Technology Archives - Page 2 of 9

KNOW GPT: Leveraging AI to Unlock Enterprise Knowledge

In today's relentlessly competitive business landscape, agility and informed decision-making are paramount. The ability to swiftly access and leverage an organization's collective intelligence can be the critical differentiator between thriving and merely surviving. Yet, beneath the surface of many enterprises lies a significant, often underestimated drain on productivity and innovation: the pervasive challenge of fragmented and inaccessible knowledge.

AI: From cutting-edge innovation to widely accessible commodity

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.

Google Marketing Live 2025: AI, Multimodal Search, and Agentic Experiences in Google, YouTube and its Advertising Solutions

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.

AI for sustainability: sustainable solutions in industry

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.

IT/OT Convergence: The path to industrial excellence

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.

Adapted and robust, AI is a partner for the future

The Artefact Research Center's mission is to foster an innovation ecosystem around AI and data by encouraging collaboration between university professors and representatives of international partner companies. The goal: cutting-edge research driven by data and the industrial applications of its partner companies.

Agentic AI in practice: Strategic value for digital and data marketers

Discover how Agentic AI is driving practical, strategic advantages for digital and data marketers. From autonomous campaign optimization to personalized customer experiences, this technology empowers your team to focus on high-impact innovation.

Artificial Intelligence: Key enablers for achieving real productivity gains

Vincent Luciani, co-founder and Executive Chairman of Artefact, emphasizes that artificial intelligence (AI) must be concretely integrated into a company's collective processes, if it is to deliver real productivity gains. The entrepreneur will be taking part in the MKIA, an event organized by Maddyness and dedicated to AI, at the Salle Gaveau in Paris, on Tuesday April 29.

Measurement, the key to a successful AI strategy

No strategy is effective without measurement! Choosing projects, evaluating the performance of AI agents or the hallucinations of the machine: detailed explanations of the governance you need to put in place to stand out from the crowd thanks to artificial intelligence.