生成式人工智能技术

Generative AI technologies are empowering people and businesses.

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We see the implementation of Generative AI in business according to 3 main types of application.

Augment people 10-20%

Augment people 10-20%

Optimize work without fundamentally changing processes (e.g. Copilot).

Transform functions 40-50%

Transform functions 40-50%

Replace existing tasks and processes, fundamentally changing businesses (e.g. automated bots).

Innovate 10X

Innovate 10X

Change the way businesses work and create new uses, experiences and modes of interaction.

We partner with a solid ecosystem of 
AI & GenAI experts and we are certified experts with all major Cloud providers.

Hyperscalers

Azure
IBM
AWS
Campaign Manager
Microsoft Advertising
Amazon Advertising

Major Actors

Meta Business Partner
Google Cloud
Amazon Advertising
Meta Business Partner
Microsoft Advertising

Technological enablers

谷歌合作伙伴
谷歌合作伙伴
Google Marketing Platform
Campaign Manager
Open Source
Google Marketing Platform
SnowFlake

Our generative AI convictions on 5 key areas to address your needs.

Advising you on different approaches suitable for the diverse need for various entities: custom in-house solutions, packaged solutions and full vendor and sharing our experiences.

Explaining when to adopt the different LLM adaptation paradigms: prompt engineering, RAG, fine-tuning and agent-based approaches.

Illustration some LLM use cases that are close to your needs and sharing our key technical learnings from implementing them for over 40 clients.

Showcasing best practices / Guardrails to ensure LLMs quality and manage their life cycle in a production environment.

Advising you on fostering a deep-rooted organisational transformation around GenAI, leveraging change management, specialized communities, trainings and enabling business adoption.

Generative AI Survey: the technology, the reward, the risks

Interviews with industry & thought leaders, early adopters in Generative AI Technology:

  • Generative AI: looking back on a 6 month marathon
  • 生成式人工智能:商业应用及益处 
  • Implementing Generative AI: technical challenges
  • Implementing Generative AI: impact on jobs and people
  • Implementing Generative AI: ethical stakes and ESG
Generative AI Survey: the technology, the reward, the risks

Our expert content about Generative AI

Is GenAI hype dying? – Why now is the best time to build

Generative AI is a game-changer with applications across industries. Companies are actively discussing it, venture capitalists are heavily investing, and both employees and users are...

The Sound Shift: How Generative AI is Redefining the Music Industry's Business Model

The first documented live performance blending generative AI and a musician took place in November 2022, when pianist David Dolan (Guildhall School of Music and...

Revolutionizing policy drafting with generative AI: a case study

In industries where compliance and policy management are critical, drafting and maintaining up-to-date policies is a vital yet time-consuming task. Traditionally, organizations have relied on...

生成式人工智能时代:正在发生的变化

The abundance and diversity of responses to ChatGPT and other generative AIs, whether skeptical or enthusiastic, demonstrate the changes they're bringing about and the impact...

生成式AI:企业面临产业化挑战

PoCs in generative AI have proliferated, mainly in large companies. But few initiatives have been industrialized due to their complexity. Hanan Ouazan, Partner and Generative...

生成式AI如何创造更加个性化的营销?

Generative AI personalizes and optimizes marketing strategies, signifying a decisive turning point in customer engagement and campaign performance. Here's a look back at what Hanan...

生成式AI如何帮助中国社交平台 "小红书 "实现飞速发展

Edouard de Mézerac, Artefact APAC CEO, reveals what’s behind the curtain on Little Red Book, aka Xiaohongshu, China’s social media channel. The app, simply called...

Fierté AI: The open-source GenAI assistant that protects against microaggressions and reduces bias

A series of controversies surrounding the outcomes of GenAI models has increased advocacy for ethical oversight and governance of AI. While explicit bias, violence, and...

Hanan Ouazan, Partner & Generative AI Lead at Artefact at the Adopt AI Summit – Generative AI Introduction

Hanan Ouazan has graduated from Ecole Normale Supérieur and Ecole Centrale de Lille in ML and AI. He joined Artefact almost 10 years ago and...

Vincent Luciani, CEO and cofounder of Artefact - Opening keynote at the Adopt AI Summit

On June 5th, Vincent Luciani, CEO of Artefact, delivered an insightful speech at the Adopt AI Summit organized by Artefact at Station F in Paris....

关于GenAI给CIOs的实用建议:策略与方案

Artefact hosted an exclusive seminar in our Shanghai office tailored specifically for Chief Information Officers (CIOs) to delve into the world of Generative AI (GenAI)...

为什么要利用会话数据增强以消费者为中心的用例?

随着生成式人工智能和聊天机器人等工具的出现,会话数据量将激增。目前已经有...