🎶 Get ready for summer with our new AI-composed song! Created by artefactors Julie Legleye and Julien Ho-Tong for the AI & Art Vernissage at Artefact 🎶

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The music industry is entering a new phase of transformation thanks to AI and generative AI. In this conversation for The Bridge, Julien Ho-Tong, Managing Partner at Artefact, and Nicolas Lang, Senior Consultant - GenAI Product Specialist at Artefact, explore the ways AI technology and tools are impacting music production, songwriting, and even gaming.

Julien Ho-Tong holds a Master of Engineering from INSA Lyon, and a Master of Science Université Paris Dauphine. Before joining Artefact in 2023, he worked at Accenture, heading Data and AI Strategy for France. He has led over 70 missions advising CXOs from private and public organizations worldwide.

Nicolas worked as a GenAI researcher at Tsinghua University in Beijing and developed AI models for music generation. In China, before joining Artefact, he helped produce the video game Oblivion: Remastered with Virtuos. He lectures on GenAI at New York University. After four years as a data science consultant, he now specializes in GenAI for the healthcare & creative industries at Artefact.

Hébergé par Ausha. Visitez ausha.co/politique-de-confidentialite pour plus d'informations.

Hébergé par Ausha. Visitez ausha.co/politique-de-confidentialite pour plus d'informations.

To fully harness the power of data and IA within the travel, tourism and transportation sectors, Florent Bernard explains that organizations need to invest in three technological building blocks: Data Clean Rooms, Customer Data Platforms (CDPs), and Consent Management Platforms.

Areas where AI has the potential to benefit the tourism industry include different use cases, such as:

1. Predictive maintenance: AI can predict component failures before they happen, so rail and air companies can take proactive measures and reduce downtime.

2. Flight route optimization: AI can help airlines balance between accelerating to avoid a costly delay or accepting a minor delay to conserve fuel.

3. Contrails: These vapor trails seen behind flying aircraft account for a third of aviation's carbon footprint. By adjusting altitudes based on atmospheric conditions, airlines can cut contrail formation in half while only slightly increasing fuel consumption.

Beyond operational efficiency, generative AI can improve customer travel with personalized travel suggestions based on users’ budget, travel preferences, and constraints. In addition, AI-powered virtual assistants can respond to customer queries in real-time, recommend activities, or even provide translation services.

“We’re moving towards a world where every aspect of travel will be hyper-personalized and optimized through AI,” he says. “The winners will be those who not only collect data but truly leverage it to enhance the customer experience and operational efficiency.”

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Céline Bracq et Florence Bénézit échangent sur le rapport "Future of work with AI". Elles reviennent sur comment l'IA révolutionne le lieu de travail, améliore la productivité, crée de nouvelles opportunités et transforme la manière dont les employés collaborent.

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DeepSeek R1 bouleverse le marché de l'IA avec une approche ultra-optimisée : des performances équivalentes à GPT-4-o, mais avec des coûts d’inférence réduits de 30 fois et des dépenses d'entraînement limitées à seulement 6 millions de dollars. Grâce à des innovations clés (MoE, GRPO, RLHF optimisé), DeepSeek remet en question l’idée que la puissance brute est la seule voie vers la domination de l’IA. Mais cette révolution s’accompagne de controverses : accusations d’entraînement sur des données d’OpenAI, préoccupations concernant la censure et incertitudes liées au RGPD sur son API. DeepSeek R1 est à la fois une avancée technologique et une zone grise réglementaire, repoussant les limites de l’IA accessible et rentable.

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Dans cet épisode de The Bridge by Artefact, Hanan Ouazan partage son expertise sur les Agents IA et leur impact sur l’automatisation des processus métiers et l’accélération de la productivité en entreprise. Il est interviewé par Caroline Goulard, CEO et fondatrice de 2 sociétés dans la data, à la fois sur son analyse de cette transformation majeure en train de s’opérer et les nouveaux cas d’usage qui vont en résulter.

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Edouard de Mézerac has developed the Luxury & Beauty Practice at Artefact, which has become a strategic sector for AI acceleration.

Who is Edouard? He has spent much of his career in Asia, from Shanghai to Singapore, developing deep expertise in the region’s AI-driven luxury ecosystems. Significantly different from Western systems, China’s AI is defined by an abundance of data from its large population, and one-stop social media platforms like WeChat that differ from more decentralized Western models. Edouard and the Artefact teams have collaborated with many major luxury groups across China, the US, and Europe, giving a holistic view of the luxury industry.

What is the key topic of this video and podcast? In this interview by Caroline Goulard, journalist and CEO of two data companies, Dataveyes and Modality, Edouard de Mézerac discusses the rapidly evolving luxury industry and its relationship with data and AI today. He explores topics ranging from the data and AI maturity of organizations and industry-specific use cases to future challenges for the luxury sector and ways to solve them.

Today, luxury brands are also launching new generative AI solutions and the challenge remains in scaling these innovations while establishing robust data governance frameworks.

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