数据与AI战略

Data & AI strategy guiding you along your business transformation journey through a proven strategic framework .

We help our clients define the future state of their business through a proven data strategy’s framework.

At Artefact, we combine industry-leading expertise in data and AI with a hands-on approach to ensure that our strategies deliver tangible business results.

Our multidisciplinary teams work closely with your organization to develop strategies that not only meet your current needs but also prepare you for future growth.

Our approach to data and AI strategy goes beyond technology—we focus on driving business transformation. We collaborate with your leadership and teams to develop a clear, actionable roadmap that harnesses the power of data and AI.

From initial assessments to full-scale implementation, we ensure your organization is prepared to leverage data and AI for long-term success.

building the foundations for their transformation

Vision & Roadmap

A clear and immediately actionable Data/AI strategy (including prioritized use cases) that will support your overall vision, serve your business objectives, with a robust value-driven program management methodology.

数据工厂

A Data Factory to quickly deliver relevant, sustainable, and actionable use cases enhanced by a combination of technical and organizational assets, enabling the implementation of new internal and external services.

数据治理

Data Governance that ensures the accessibility and quality of your data for all uses of the vision, in an efficient, scalable, and sustainable manner.

数据平台

Une Data Platform à faire évoluer pour répondre à vos besoins et vos compétences, pour faciliter sa prise en main par ses utilisateurs (business, data & tech) & tirer un maximum de valeurs de vos données.

Culture & Change

Evangelizing the Data Culture within your organization to enhance your teams’ skills, disseminate, and sustain best practices.

Organization

A coherent organization (IT, Data, Business, etc.) that takes into account the reality and culture of the organization, enabling the support of data transformation.

Building future-ready strategies with Data and AI

From initial assessments to full-scale implementation, we ensure your organization is prepared to leverage data and AI for long-term tangible success.

Data Strategy Development: We craft a comprehensive strategy that aligns your data initiatives with your business objectives, enabling more informed decision-making.
AI Opportunity Identification: We identify high-value AI use cases that can drive operational efficiency, enhance customer experiences, and unlock new revenue streams.
Data Governance and Compliance: We ensure data integrity, security, and compliance with industry regulations, safeguarding your organization’s most valuable assets.
AI Implementation Roadmaps: We design and implement AI solutions that are tailored to your unique business needs, ensuring seamless integration and scalability.
文化变革和技能提升：我们在您的组织内推动数据驱动型文化，提供充分利用人工智能和数据潜力所需的工具和培训。

Data & AI Transformation for Business Report

Unlocking the potential of data & AI for accelerating your business and improving your entreprise’s performance.

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While most actors have started building the foundations for their transformation, several challenges prevent the adoption of AI at scale.

Multiple PoCs pave the way for distrust

Companies face a lack of business consistency with use cases scarcely fitting with long-term company ambitions, and few POCs coming to production due to a lack of anticipation of prerequisites, generating frustration.

Expertises are scarce

Organizations experience a real challenge in recruiting and retaining scarce profiles, and misunderstandings often appears with business front-liners due to a lack of decoders.

Qualitative data is scarce too!

Poor quality data result in long time-to-market and low accuracy. Unaware of these benefits, business front-liners show limited commitment to data governance, only perceived as a painful burden.

Silos remain a plague

People misinterpret the idea “data is power”. By keeping their data in a proprietary ecosystem, organizations deprive themselves from the potential of external data sources to enrich their models. Further missed opportunities arise when people forget that they are a critical link in the data value chain.

Techs need to reinvent themselves

Focused on shiny new techs, technical teams tend to forget business value, re-creating what are now turnkey solutions on the market, and can be reluctant to changing outdated ways of working in favor of agile methodologies.

People mistrust AI

Employees see AI as a threatening substitute, rather than a promising empowerment tool, and Innovations are often introduced as plug-and-play solutions with “magic inside”, leading to disinterest upon first failure.

Our expert content about Data & AI transformation

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