Data & AI for Manufacturing

Transforming and creating value for Energy, Electronics and Electrical Equipment, Chemicals, Machinery, Textile and Apparels through the power of data & AI.

Industry 4.0 and Smart Manufacturing

Industry 4.0 and
Smart Manufacturing

  • Integration of Advanced Technologies: like the Internet of Things (IoT), robotics, and big data analytics to create smart factories. These technologies enhance operational efficiency, enable real-time monitoring, and improve predictive maintenance capabilities.

  • Automation and Robotics: leading to increased production speeds, higher precision, and lower labor costs. Robots are being used for tasks ranging from assembly and welding to packaging and quality control.

  • Cyber-Physical Systems: Manufacturing processes are becoming more interconnected through cyber-physical systems, which combine physical manufacturing processes with digital control systems, leading to more flexible and adaptive production

Sustainability and Green Manufacturing

Sustainability and Green Manufacturing

  • Eco-Friendly Practices: including reducing carbon footprints, minimizing waste, and improving energy efficiency. Companies are investing in renewable energy sources and adopting circular economy principles to recycle and reuse materials.

  • Regulatory Compliance: Stricter environmental regulations worldwide are pushing manufacturers to adopt greener practices. They also enhance the company’s reputation and reduce costs associated with non-compliance.

  • Sustainable Product Design: Manufacturers are focusing on designing products that are easier to recycle, use fewer resources, and have a longer lifespan. This trend is driven by consumer demand for environmentally friendly products and the need to reduce the overall

Enhanced Quality Control and Defect Detection

Enhanced Quality Control and Defect Detection

  • AI-Powered Quality Inspection: AI systems are used for real-time quality inspection and defect detection, improving the accuracy and speed of quality control processes. Computer vision and machine learning algorithms can identify defects in products with greater precision than human inspectors.

  • Data-Driven Decision Making: By analyzing vast amounts of production data, AI helps manufacturers make informed decisions to enhance product quality, optimize processes, and reduce waste. This data-driven approach leads to higher efficiency and better product outcomes.

Client case LEGRAND

LEGRAND Deployment of Gaia and Elia, new GenAI products that optimize product information for employees and customers.

IT/OT Convergence: the Data Dream for Industrial Excellence

This white paper is primarily aimed at Data Strategy Managers in the industrial sector who are seeking to understand and implement IT/OT convergence. It is also of value for Heads of Operations, as it provides insights into the overarching digital strategy. They will gain a deeper understanding of the strategic approaches essential for data & AI transformation.

Data & AI Transformation for Business

Client Cases in Manufacturing

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Replays of the Adopt AI Summit by Artefact

How to combine the use of AI and environmental transition?

How AI supports TotalEnergies digitalization strategy?

How to scale AI in a global context.

Why does people acculturation matter in successful AI adoption?

Our expert contents about Manufacturing

We are data, AI and digital experts sharing
our insights and latest market updates.

  • SODEXO, L’OREAL and NAAIA at the Adopt AI Summit by Artefact – The importance of trustworthy AI

    SODEXO, L’OREAL and NAAIA at the Adopt AI Summit by Artefact – The importance of trustworthy AI

  • SAVENCIA GOURMET and ELECTROLUX PROFESSIONAL at the Adopt AI Summit by Artefact – Why does the acculturation of people matter for successful AI adoption

    SAVENCIA GOURMET and ELECTROLUX PROFESSIONAL at the Adopt AI Summit by Artefact – Why does the acculturation of people matter for successful AI adoption

  • Vincent Wang, Chief Digital Officer at LEGRAND, at the Adopt AI Summit – How to augment the workforce with Gen AI?

    Vincent Wang, Chief Digital Officer at LEGRAND, at the Adopt AI Summit – How to augment the workforce with Gen AI?

  • Frédéric Gimenez, CDO at TotalEnergies, at the Adopt AI Summit – How AI supports digitalization strategy

    Frédéric Gimenez, CDO at TotalEnergies, at the Adopt AI Summit – How AI supports digitalization strategy

  • Alix Boulnois, CDO & Member of the Group Exec Comm at ACCOR, Biljana Kaitovic, Group CIO & CDO at ENGIE, Gilles Morel, Exec VP at WHIRLPOOL at the Adopt AI Summit – How to scale AI in a global context

    Alix Boulnois, CDO & Member of the Group Exec Comm at ACCOR, Biljana Kaitovic, Group CIO & CDO at ENGIE, Gilles Morel, Exec VP at WHIRLPOOL at the Adopt AI Summit – How to scale AI in a global context

  • Hervé Montjotin, CEO of SOCOTEC at the Adopt AI Summit – AI at the heart of business transformation

    Hervé Montjotin, CEO of SOCOTEC at the Adopt AI Summit – AI at the heart of business transformation

  • Christophe Périllat, CEO of VALEO at the Adopt AI Summit – The future of the automotive industry, relying on AI integration

    Christophe Périllat, CEO of VALEO at the Adopt AI Summit – The future of the automotive industry, relying on AI integration

Our Artefact Leaders in Manufacturing

André FONSECA

Alexandre THION DE LA CHAUME

Managing Partner – Global Lead BtoB

Florian THIÉBAUT

Fabrice HENRY

Managing Partner – Global Lead Offers

Florent BERNARD

Florent BERNARD

Partner

Pascal COGGIA

Vincent Blaclard

Partner

Alexis POUJADE

Thomas FILAIRE

Partner

Benjamin SOLINS

Julien HO-TONG

Partner

Xavier MUSSARD

Hanan OUAZAN

Partner

Akhilesh KALE

Julien SATALLA-BOURDILLON

Partner

Alexy AVRIL

Florence BENEZIT

Director

Robbert BREGMAN

Brice BLONDIAU

Director

Vincent CAILLIOT

Hubert DE BENOIST DE GENTISSART

Director

Michele CARUSO

Guillaume DIGOIN

Director